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Startups Helping Businesses Understand What Customers Want

This article first appeared and originally published at https://blogs.oracle.com/startup/post/startups-customer-experience.

The concept of personal customer service is nothing new. Good bartenders have always remembered their regular patrons’ favorite drinks. Shopkeepers are trained to anticipate their customers’ needs.

The skill of identifying customers’ wants and desires to drive sales remains important to businesses, and now there is a raft of high-tech tools to help them gain new insights.

Here’s how companies in the Oracle for Startups program are helping their clients deep dive into analytics so they can understand customer needs better than ever before. 

Helping companies listen to customers

How we speak gives listeners all sorts of clues about what we really want. DataKlout uses Voice AI to analyze customers’ intentions. Its next generation analysis software provides consumable insights for decision making and results.  For example, it can be used to identify customers’ positive reactions to marketing and sales calls, allowing a sales team to focus on closure, or be used to train employees to deliver more delightful customer service, among other use cases.

Using the tool helped a client cut the cost of customer acquisition by 75%, leading to a 500% increase in opportunities for closure in a tele-sales and tele-marketing campaign, while it also increased opportunities for a car insurance company, which used the tool to identify prospects from a cold calling campaign, resulting in a jump from 2% to 8%.

While DataKlout’s Voice AI gives its customers a new technique to understand their customers’ deepest desires, it intends on going further, by equipping its clients with another in-depth tool by integrating the facial expressions in a video calls.

Understanding the whole customer

Customers are complex creatures, making predicting our actions and needs difficult. FirstHive uses a machine-learning driven algorithm, allowing its platform to ingest data from nearly every kind of customer interaction and transaction, including ERP, CRM, website, social, PoS, app, and customer care groups.

It can even absorb offline and unstructured data like social comments. The tool then builds unified customer identities and makes recommendations on what the next best action should be to enhance the customer’s experience. 

The startup has worked with companies like Singapore Airlines and Unilever and has shown its tool can help enterprises earn a sixfold increase in their marketing ROI, with the right content being sent to razor sharp customer segments at just the right time. 

Similarly, Pryon helps employees of enterprises find important information easily so they can do their jobs, including customer service. The startup behind the technology that powers Alexa allows users to ask an assistant a colloquial question and receive an answer in just a second. The solution applyies natural language processing to unstructured content automatically ingested from a vast range of content types.

Using AI for super forecasting

As any good service provider knows, the best way to meet a customer’s needs is to anticipate them. (Just think of that brilliant bartender or stellar hotel worker.)

Complete Intelligence runs more than 15 billion data points through an AI platform, making trillions of calculations across 1,400 industry sectors. This allows it to provide its customers in industrial manufacturing as well as the oil and gas, chemicals, electronics, food and beverages industries with a fully automated, globally integrated artificial intelligence platform to help purchasing, supply chain planning, and revenue teams make accurate forecasts.

https://open.spotify.com/episode/1U9haAa5gc7pgBjl7tojyw

Helping startups meet customer needs

Oracle for Startups exists to support growing companies and help them serve their customers’ needs. We know startups need reliable cloud services; that’s why we offer them a 70% discount on OCI.

We know young companies need to embrace new tech tools and scale, which is why we have a dedicated CAT team to help with migration and other goals.

We also know marketing support and introductions to enterprise customers are invaluable, and we strive to make these perks of our program a reality.

We’re also hoping to know even more about our customers by launching a global customer survey. After all, who better to inform our strategy than the startups we serve?

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Sustainable startups help companies go greener

This article first appeared and originally published at https://blogs.oracle.com/startup/post/sustainable-startups.

“What you do makes a difference, and you have to decide what kind of difference you want to make,” said Dr. Jane Goodall. 

From high tech waste management solutions to tools that make the making of consumer products more ethical, startups are innovating solutions for a greener future. To empower their sustainable solutions, many tap into the benefits of Oracle for Startups to gain exposure, more customers, and stronger infrastructure. 

Startups and enterprises working together can help the business world lead the change toward greater sustainability. While some businesses are naturally greener than others (and not all of them are focused on combating climate change), every company can make adjustments to reduce its carbon footprint or mitigate negative environmental effects. 

If everyone makes small changes, they end up making a big difference, or as Sir David Attenborough puts it: “If working apart, we are forces powerful enough to destabilize our planet, surely working together we are powerful enough to save it.”

This Earth Day, we’re celebrating how some of the more eco-focused members of Oracle for Startups help other businesses make a positive impact on the planet. 

Waste not, want not

One of the simplest ways to make a positive impact is to waste less. Startups help other businesses minimize waste and maximize efficiency in several ways. 
Complete Intelligence, for example, uses AI and strong predictive analytics to help companies waste less – whether that’s materials, time, or money.  “It might not be as intuitive a sustainability play as, say, building solar panels, but it is important nonetheless,” said analyst Jeremy Cox in a report about the startups bringing sustainability to energy and utilities.

Tracifier created a blockchain-based traceability application to reduce food fraud and, therefore, food waste. “Blockchain allows for an accurate and transparent record of each of several certification processes, making forgery nearly impossible,” said Mina Kordi, CEO and cofounder of the startup, which is based in Hamburg. 

Faradai (formerly Reengen) turned rooting out energy waste in stores, offices, and other commercial properties into a global business. Their hardware agnostic IoT platform analyzes sensor data to uncover energy and operational insights. One of our favorite success stories involves the company’s work with a bank that found that ATMs with high energy usage often had outdated exterior lighting. A simple change in lighting reduced the site’s energy consumption by 59%. 

Buying better

More consumers are making purchases based on ethics and environmental concerns, and startups are serving up clever tech to the companies selling us greener products from clothes to cars.

Circulor makes it easier for automobile giants and other businesses to spot the weakest links in their supply chains so they can improve them and attract conscientious consumers. The London-based startup specializes in tracking raw materials using blockchain and artificial intelligence. It provides ‘traceability-as-a-service’ to verify responsible sourcing, underpin effective recycling, and improve efficiency, so consumers can buy new products with confidence. 

When it comes to the fashion industry, green is the new black.

Fashion houses are keen to embrace the public’s appetite for everything eco-friendly. The blockchain-based supply chain transparency platform offered by retraced gives fashion brands a boost for their inventory efficiency and sustainability credentials. The German startup uses the Oracle Blockchain Platform to create a supply chain management tool, enabling companies to map and verify their data, including certified details about raw materials, textile manufacturers, fabric dyers, designers, craft people, factories, and sewers. As retraced gathers information, two things happen: brands can collect and analyze supply chain data, and a QR code is automatically generated, which consumers can scan to discover information about ethical sourcing and sustainability. 

Cleaning up

Startups are playing a vital part of cleaning our planet. Oceanworks is one of them. The startup is intent on banishing plastic from the ocean and is doing its bit by creating an online marketplace for recycled plastic materials and products. It has more than 100 customers and a supply capacity of more than 190,000 tons of ocean plastic a year from collection sites across six continents.

Based in Los Angeles, the cloud startup runs a track-and-trace application to certify that the plastic that manufacturers source really is recycled ocean plastic so their customer base (which includes Fortune 500 companies) can prove their eco credentials. 

Calling climate crusaders

If your startup business is on a mission to save the world, Oracle for Startups can help. We offer the technical tools and one-on-one mentoring startups need to make the world a better place. From free cloud credits and access to Oracle Blockchain to introductions to customers, Oracle for Startups offers the support your startup needs to make a real difference. 

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The startups bringing sustainability to energy and utilities

This article first appeared and was originally published at https://blogs.oracle.com/startup/post/startups-sustainable-utilities.

Analyst Jeremy Cox was watching the United Nations Climate Change Conference news while researching his recent report on startups offering sustainability solutions for the energy and utility sector. The timing was especially fortuitous for another reason: Cox was about to welcome a grandchild.

Sustainability is top of mind when you start thinking about future generations. Cox took notes and quoted environmentalist Sir David Attenborough to lead off the report, “If working apart we are forces powerful enough to destabilize our planet, surely working together we are powerful enough to save it.”

What is more powerful than startups harnessing the cloud and enterprise expertise to bring their novel sustainability ideas to the market?

Here’s a look at the startups featured in the report from CX Create: 4 startups show the way to sustainability

How an empty garbage truck sparked a company

The idea for Evreka came after the founders noticed empty garbage trucks driving back to the depot. The drivers drove scheduled routes regardless of whether there was garbage to collect, wasting gasoline and staffing. Evreka’s first product was a sensor that attaches to garbage collection carts to show the cart’s position – ready to be emptied or not at the curb. The information helps waste collectors orchestrate efficient pickup schedules.

The founders have since expanded their vision to include tackling inefficiencies in the entire waste management lifecycle, looking to extract materials (other than the obvious recyclables) that could be sold to manufacturers and reused as raw ingredients for different industries. They offer the data as a SaaS solution. The platform runs on Oracle Cloud Infrastructure (OCI), a choice the company made because of “(Oracle’s) global reach, second-generation OCI technology, and expansion of highly secure data centers.”

The All-in-One Waste Management Platform from Evreka

Why predictive analytics is vital to powering sustainability

Complete Intelligence joined Oracle for Startups because founder Tony Nash looked to the Oracle cloud to help power his machine learning platform designed for smarter revenue, expense, cost, and investment planning decisions.

Being super agile is critical in today’s global business world, including as it relates to understanding, measuring, forecasting for sustainability. “What I discovered from talking with Tony was that strong predictive analytics helps waste less – whether that’s materials, time or money,” Cox says. “It might not be as intuitive a sustainability play as, say, building solar panels, but it is important nonetheless.”

An AI-powered global intelligence platform for strategic and tactical procurement and investment decisions

Watch our interview with founder Tony Nash and check out Cox’s deep dive on Complete Intelligence: 

An AI-Powered Global Intelligence Platform for Strategic and Tactical Procurement and Investment Decisions

Making the cloud greener

Cloud storage opens many opportunities for enterprises and startups to run more efficiently but sending all that data to the cloud and instantly making it available is an energy hog. Danish startup GroenSky is meeting that challenge with an approach that makes less energy-intensive archived storage just as appealing and easy to access as live storage.

Writes Cox, “GroenSky allows customers to choose how they store their files. Those that are only rarely accessed, typically around 80% or more, can be placed in archived storage that doesn’t consume power except when accessed or moved to regular, live storage. A real-time calculator allows customers to see how much CO2 they can save.”

GroenSky founder Pierre Bennorth Cox he chose Oracle Cloud Infrastructure because of its security features, global data centers, and commitment to power its cloud with 100% renewable energy by 2025.  

A Green Cloud to Massively Reduce the Carbon Footprint

Combing millions of data points to find the energy wasters

The founders of Faradai (also known as Reengen) have turned rooting out energy waste in stores, offices, and other commercial properties into a global business. Their hardware-agnostic IoT platform analyzes sensor data to uncover energy and operational insights.

One of our favorite success stories involves the company’s work with a bank that found that ATMs with high energy usage often had outdated exterior lighting. A simple change in lighting reduced the site’s energy consumption by 59%.

The company joined Oracle for Startups and told Cox how they’ve reaped the benefits. “Apart from the performance and security advantages of the Oracle Cloud Infrastructure,” Cox writes. “Oracle has been instrumental in opening doors to its large enterprise customers throughout the world. Faradai has also benefitted from further exposure by speaking at Oracle conferences in the Middle East. As (the founder) said, ‘we get great leverage in industrial B2B sales and have had a very positive reception from the Oracle sales teams and now work even closer with them.”

AI-powered Energy and Sustainability Intelligence Platform

How startups can build a greener future

We ask Cox to interview startups because he often finds insights that we haven’t discovered. This project was no different. “Each of the startups highlighted in this report is making a significant difference that benefits customers and society, providing real hope that we can all make a difference collectively.”

Are you building the next great sustainability solution? Join us to save 70% on cloud and scale your business with global connections. 

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Supply Chain Innovation, Transformation, and Sustainability

How can leaders and finance teams enable business growth, innovation, and resilience through supply chain management (SCM) and digital transformation? And, how does sustainability affect supply chains? To answer these questions, we spoke with Jon Chorley, Chief Sustainability Officer and Group Vice President of Oracle, and Tony Nash, CEO & Founder of Complete Intelligence.

 

This video interview first appeared and originally published at https://www.cxotalk.com/video/supply-chain-innovation-transformation-sustainability on April 17, 2021.

 

💁‍♀️ Check out more of our insights in featured in the CI Newsletter and QuickHit interviews with experts.

🎯 Discover how Complete Intelligence can help your company be more profitable with AI and ML technologies. Book a demo here.

 

The conversation includes these topics:

 

Jon Chorley is group vice president of product strategy for Oracle’s supply chain management (SCM) applications and leads the team responsible for driving the business requirements and product roadmaps for these applications. Chorley is also the chief sustainability officer for Oracle.

 

Tony Nash is the CEO and Founder of Complete Intelligence. Previously, Tony built and led the global research business for The Economist and the Asia consulting business for IHS (now IHS Markit).

 

 

Show Notes

 

Michael Krigsman: We’re discussing supply chain innovation and transformation and sustainability with Jon Chorley of Oracle and Tony Nash of Complete Intelligence. Jon, tell us about your role at Oracle.

 

Jon Chorley: I run the supply chain management strategy group at Oracle, responsible for our overall investment priorities and directions for our supply chain solutions. I also have the chief sustainability officer role at Oracle where I help coordinate all of our sustainability policies and practices for the Oracle Corporation and help drive some of those ideas and thoughts into the products and services we deliver to the market.

 

Michael Krigsman: Tony Nash, tell us about the focus of your work.

 

Tony Nash: Complete Intelligence, we’re a globally integrated and fully automated artificial intelligence platform for cost and revenue proactive planning. We do forecasting for enterprises and markets in areas like continuous cost budgeting, continuous revenue budgeting, automation of certain, say, forecasting tasks. We also offer agile budgeting and forecasting.

 

We measure our error rates, so that’s important that someone is planning, especially around supply chain. We’re trying to help people reduce the risks around their future costs.

 

Supply chains are very complex: time, cost, quality, all sorts of considerations. Our focus is on the cost element of it, and there are many other things and why we’re working with Oracle. They have so many other things to bring to the table that try to complement them on that side.

 

Michael Krigsman: You met Jon through the Oracle startup program. Just briefly tell us about that.

 

Tony Nash: Oracle for Startups program is a fantastic way for early-stage companies to integrate with the Oracle ecosystem. There is the Oracle technology product side of it, but there is also meeting people like Jon, meeting people like his colleagues, and the Oracle marketing team, Salesforce, and product teams. Amazing opportunities to understand how an organization like Oracle works and how a company like Complete Intelligence can come alongside them and enhance Oracle’s end customer experience for the better.

 

 

How did supply chains function during the disruptions of 2020?

 

Michael Krigsman: Jon, during the last year, supply chain became a household topic for pretty much everyone.

 

Jon Chorley: Yes.

 

Michael Krigsman: What did the last year tell us about the nature and the reality of supply chains?

 

Jon Chorley: Well, that they’re central to everything that makes the modern world. When you see an empty shelf and realize it’s an issue with the supply chain. Or you see a run on a product as some shortage or some challenge in some way. People now understand that the complicated infrastructure that brings those products to them is the supply chain.

 

As we’ve gotten into the more recent months where we’re looking at the vaccine distribution, people understand that yes, it’s a technical problem to produce the vaccine, but it’s also a supply chain problem to get it in people’s arms.

 

All of those things, I think, have helped take the supply chain from the back office, from the folks like Tony and I who work in it day-to-day, into the board room, which I think is very important. But also into the dining room. People now understand the importance and centrality to efficient supply chains.

 

Michael Krigsman: Jon, give us some insight into the kinds of weaknesses that this last year exposed in how we handle supply chains.

 

Jon Chorley: I think that there are a couple of areas there that I’d point out. One is we had a very uncharacteristic demand shock. There was a real change in short-term demand.

 

Some of that was upside. A lot of charcoal sold to power the grill. A lot of toilet paper.

 

Some of it was downside. Restaurants challenged, hospitality, and so on.

 

Those demand shocks forced people to look at different ways to look at their traditional forecasts. That is supportable by the kind of technology Tony and I can help deliver, but it does require people to look carefully at how they’re forecasting their demands. That’s one angle.

 

Another angle, I would say, is the overall concern about resiliency. A lot of folks looked at ways of single sourcing, for example. Maybe relying on goods out of Western China, for example.

 

All of those things had a lot of challenges, and that forced people to look at, was the single-sourcing strategy driven by cost only the right answer? Did they need to look at A) maybe simplifying their product lines a little bit, so they had more flexibility, and B) looking at alternate sources of supply? I think resiliency came a lot more to the fore.

 

Tony Nash: We’ve had even companies like semiconductor companies (who have been based in Asia) start to build facilities in the U.S. so that they can regionalize some of those supply chains and de-risk the downturn impacts of future shocks like this. Electronics manufacturers, other people who are assembling goods, or even some primary goods, are regionalizing their supply chains so that they don’t see huge impacts or any future issues like COVID or other shocks.

 

There’s at least a little bit of a buffer by region, which saves. It’s greener in terms of saving on the sea freight fuel and that sort of thing, but it also helps cushion any shocks on the supply side so consumers can get what they need when they need it.

 

 

Challenges associated with overseas manufacturing operations

 

Michael Krigsman: Jon, I’ve heard you talk in the past about the inherent challenge of manufacturing goods overseas (in China, for example) and the timeliness of getting them here in the U.S.

 

Jon Chorley: It has a lot of advantages in terms of costs, scale, and so on. But it does bake into your supply chain a certain fixed amount of time. That is fine if you have predictable demand. But if you have variable demand, it becomes a lot trickier to manage.

 

The same is true really of the innovation cycles. The speed with which you may want to innovate can be constrained by working those things from points of consumption (let’s say Europe, North America) and points of production (let’s say the East, China, Vietnam, and so on). Those are factors folks are considering.

 

I think, in some areas, certainly advances in things like automation and technologies like 3D printing, rapid prototyping, those things are changing the equation a little bit in terms of what constitutes the most cost-effective or the most efficient, or the most responsive approach to manufacturing. I think you’re going to see those factors gradually have more and more of a play as people develop new ways to balance those equations.

 

Tony Nash: Michael, that’s interesting because, as we look at how the history of supply chains have evolved from keeping POs on 3×5 notecards 30 years ago to the digitization of that, it started with EDI (electronic data interchange) from, say, the ocean lines and the airfreight firms so that you knew where your package was, all the way down to today where you have everything kept, let’s say, in a bill of material within an ERP system or a supply chain system.

 

What people have been doing for the past few years is really bill of material versioning, where you’re running scenarios on the same product configuration, of bill of materials for multiple locations, to understand where they should make a certain good. Those considerations are allowing people flexibility. They can make the time and cost tradeoffs to look at when they can have goods in a market, whether it’s seasonality or whether it’s some disruption or whether it’s some demand pop for some reason people may not know. Allowing people to run multiple bills of material or versions of bills of material allows them the flexibility to identify what they should produce where and what it should be made of.

 

Michael Krigsman: It sounds like this is a data and analytics problem.

 

Tony Nash: It is, and the way things have been done typically is, as a manufacturer, you sign a longer-term agreement for your raw materials with a vendor. They provide that for you to a certain point. You make it in factory A somewhere and then ship it out. Of course, there is not necessarily a single factory for any large company, but it’s a well-worn path.

 

We’ve had an atomization of that with mini manufacturing, or regional manufacturing, flexible manufacturing, so people can have localized versions or, like I said, seasonality. These sorts of things. Manufacturing and finance teams can only make those types of decisions with data and with automation. It’s a simpler way on how to make better business decisions.

 

 

Digital tansformation and sustainability in supply chain

 

Michael Krigsman: You need clarity around the goals and the strategy. You need the right kinds of data. Then you need the cultural willingness to innovate and do things differently. Is that an accurate way of summarizing?

 

Jon Chorley: I agree. I think you need to have some idea of where you’re going. Although, that probably is going to change. But you need to have that idea. You need to have the information, as Tony has discussed, that helps you navigate that path.

 

Then you need to be able to course-correct because we live in the real world, and nothing quite goes the way you expect it to. You need to be able to constantly course-correct.

 

Like I say, if you have a great set of headlights, you can see what’s coming. You’re coming to a cliff. If you have no brakes and no steering wheel, it’s a huge problem you’d rather not know.

 

The ability to course correct is like having brakes and a steering wheel. You need to be able to make those adjustments as things change around you. That means flexible systems, flexible processes, a willingness to look at new ways of doing things, cultural changes. All of those things become important.

 

Michael Krigsman: Tony, I have to imagine you spend a lot of time thinking about the sources of data as well as the machine learning models and other types of models that you create.

 

Tony Nash: I get excited about things like data governance, but most people don’t. I get excited about it because I understand that it helps to have much better forecasting applications and tools to make those decisions.

 

Yes, we’re thinking about the granularity, the frequency, the level of detail people have. Are they using the data that they have to make decisions today because it’s not just, let’s say, a cultural change of let’s rely on automation of things like forward-looking views or forecasting or proactive planning? It could also be a cultural change: are we looking at our data to make our decisions? How much of our data are we looking at? Are we looking at maybe the error rates of the way we plan? Are we looking back on that from time to time?

 

Although that may seem mundane and small, it’s actually very big for things like digital transformation because you have to take inventory of what you’re doing today so you can plan where you’re going tomorrow. As Jon said, it’s never going to go exactly to plan – never. I wish it would, but it never does. You have to understand yourself well today so that you can identify what’s possible.

 

Michael Krigsman: Jon, we’ve been talking about the complexities of supply chain. Let’s shift gears slightly and talk about the complexities of sustainability. How does sustainability intersect supply chain?

 

Jon Chorley: Most people would agree that supply chains are about making and moving physical goods around the world. That is a huge part of what’s impacting the environment. It’s a huge impact on sustainability.

 

The way we design those supply chains, historically, has been what I would call a linear supply chain. Which is we make a product, we sell a product, we forget the product. We then make another product, sell that product, and forget that product. It’s a fire and forget mentality, if you like – to some degree.

 

If we want to be sustainable, we need to think about the full lifecycle of those products and how they get recycled back into the forward supply chain. As we progress into the future and start thinking about these things more — and we’re required to by the markets, by regulations (potentially), and by what constitutes good business — we will increasingly move towards adjusting our supply chains to be more circular. That is, looking at the full lifecycle of the product.

 

That begins with how you design it. That’s going to be a fundamental change in the way we think about all supply chains.

 

Advice on supply chain transformation for business leaders

 

Michael Krigsman: As we finish up, Tony, can you offer advice to business leaders and finance teams who are listening to this who say, “Yes, we want to change, transform our supply chain, but where do we even begin? It’s such a daunting challenge.”

 

Tony Nash: I would say, really start with the easy stuff. Get some successes. Do a pilot. Then you can accelerate it very quickly.

 

Data scales very quickly. Technology scales very quickly. But your team may be uncomfortable with digital transformation, especially around supply chains. Help them see some quick wins and then push forward as quickly as possible after that.

 

Michael Krigsman: Jon, you discussed earlier the cultural dimensions of supply chain transformation. It’s really important, so just share some further thoughts on that and advice that you have for folks who are listening.

 

Jon Chorley: I think any change is at least as much cultural as it is technological, and the people who implement those changes are key to its success. I think part of what’s needed is a willingness to understand that the way you did things in the past may not be the way you need to do things in the future.

 

Quite often companies, for example, feel that they have a certain special way of doing a process that’s absolutely required, and they hold onto that even though there is really no business differentiation for them to do it that way. They’ll invest a lot of time and energy to duplicate that on a new platform.

 

We always encourage people to step back a little bit and leave behind some of those preconceptions. Not everything is your secret sauce. Your secret sauce is a little bit on the top. It’s not stuff on the bottom.

 

Leave behind those preconceptions. I think that’s probably the single biggest cultural shift.

 

Then the other point we mentioned earlier is board support. I think that’s top-down. Having that support from the upper levels of the business is critical to any large-scale transformation.

 

I think the great thing, if there is a great thing from 2020, is that boards are aware now of the criticality of supply chains in their business and are probably more open to those kinds of conversations. Those difficult conversations from supply chain professionals with their board. Now is the time. The folks that make the investments now are the folks who are going to benefit from the uptick that we all hope is coming.

 

Michael Krigsman: Jon Chorley and Tony Nash, thank you both for sharing your expertise with us today.

 

Jon Chorley: All right.

 

Tony Nash: Thanks, Michael.

 

Jon Chorley: Thank you so much. Great talking with you all.

 

Tony Nash: Thank you.

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Startup makes superforecasting possible with AI

This article originally published at https://blogs.oracle.com/startup/startup-makes-superforecasting-possible-with-ai on December 1, 2020.

 

 

Here’s a mathematical problem: The sum of all the individual country GDPs never equals the global GDP. That means forecasting models are flawed from the start, and it’s impacting global supply chain economics in a big way. Entrepreneur Tony Nash found that unacceptable, so he built an AI platform to help businesses “understand the sum of everything” through a highly automated, globally data-intensive solution with zero human bias.

 

Complete Intelligence, Nash’s Houston-based startup, uses global market data and artificial intelligence to help organizations to visualize financial data, make predictions, adjust plans in the context of a global economy, all on the fly. The globally-integrated, cloud-based AI platform helps purchasing, supply chain planning, and revenue teams make smarter cost and revenue decisions. It’s a way on how to make better business decisions.

 

“The machines are learning, and many times that has meant deviating from traditionally held consensus beliefs and causality models,” said Nash. “Causal beliefs don’t hold up most of the time—it’s human bias that is holding them up—our AI data is reducing errors and getting closer to the truth, closer to the promise of superforecasting.”

 

 

Massive datasets across 1,400 industry sectors

More than 15 billion data points run through the Complete Intelligence platform daily, making hundreds of millions of calculations. Average business forecasting saas software models use 10-12 sector variables. Complete Intelligence, on the other hand, examines variables across 1,400 industry sectors. The robustness gives businesses insights and control they didn’t have before.

 

“We’ve seen a big shift in how category managers and planning managers are looking at their supply chains,” said Nash. “Companies are taking a closer look at the concentration of supply chains by every variable. Our platform helps companies easily visualize the outlook for their supply chain costs, and helps them pivot quickly.”

 

 

Superforecasting brings a modern mindset to an old industry

 

Australia-based OZ Minerals, a publicly-traded company, is a modern mining company focused on copper with mines in Australia and Brazil. OZ says their modern mantra is more than technology, it’s also a mindset: test, learn, innovate. They wanted to better navigate and understand the multi-faceted copper market, where the connectivity between miner, smelter, product maker, and consumer is incredibly complex and dynamic. They turned to Complete Intelligence.

 

“I need a firm understanding of both fiscal and monetary policies and foreign exchange rates to understand how commodity prices might react in the future because a depreciating and/or appreciating currency can impact the trade flows, and often very quickly, which might influence decisions we make,” said Luke McFadyen, Manager of Strategy and Economics at OZ Minerals.

 

“Our copper concentrate produced in Australia and Brazil may end up being refined locally or overseas. And then it is turned into a metal, which then may be turned into a wire or rod, and then used in an electric vehicle sold in New York, an air conditioner sold in Johannesburg, or used in the motor of a wind turbine in Denmark,” he explains. “The copper market is an incredibly complex system.”

 

With Complete Intelligence, McFadyen has a new opportunity to test for a bigger-picture understanding and responsiveness. Previously, he updated his models every few months. Now he could do it every 47 minutes if he needed to.

 

McFadyen points to the impact of COVID-19 as a “Black Swan” event that no business forecasting saas software could have predicted, but is nonetheless impacting currencies, foreign exchanges, and cost curves throughout global copper market and supply chains.

 

“If your model isn’t dynamic and responsive in events like we are experiencing today, then it is not insightful. If it’s not insightful, it’s not influencing and informing decisions,” he said. “Complete Intelligence provides a different insight compared to how the traditional price and foreign exchange models work.”

 

McFadyen says early results have reflected reductions in error rates and improved responsiveness.

 

 

Cloud power and partnership

 

Complete Intelligence needed a strong technology partner but also one with global expertise in enterprise sales and marketing that could help boost their business. They found it with Oracle for Startups.

 

“We have lots of concurrent and parallel processes with very large data volumes,” said Nash. “We are checking historical data against thousands of variables, anomaly detections, massive calculations processing, and storage. And it’s all optimized with Oracle Cloud.”

 

Nash, who migrated off Google Cloud, says Oracle Cloud gives him the confidence that his solution can handle these workloads and data sets without downtime or performance lapses. The partnership also gives him a credible technology that is native to many clients.

 

“As we have potential clients that come to us that are using Oracle, having our software on Oracle Cloud infrastructure will make it easier for us to deploy and scale. A seamless client experience is a critical success factor for us.”

 

Nash says the Oracle startup program‘s free cloud credits and 70% discount has allowed them to save costs while increasing value to customers. He also takes advantage of the program’s resources including introductions to customers and marketing and PR support.

 

“We’ve been impressed by the resources and dedication of Oracle for Startups team,” he said. “I’d recommend it, especially for AI and data startups ready for global scale.”

 

 

Beyond mining: superforecasting futures with AI

 

Beyond mining, Complete Intelligence is working with customers in oil and gas, chemicals, electronics, food and beverages, and industrial manufacturing. From packaging to polymers and sugar to sensors, these customers use Complete Intelligence for cost and revenue planning, purchasing and supply chain proactive planning, risk management, and auditing teams, as well as general market and economic forecasts.

 

The error rates for Complete Intelligence forecasts in energy and industrial metals performed 9.4% better than consensus forecasts over the same period, and Complete Intelligence continues to add methods to better account for market shocks and volatility.

 

OZ Minerals’ McFadyen said, “This is the next step in how economists can work in the future with change leading towards better forecasts, which will inform better decisions.”

 

Nash and Complete Intelligence are betting on it – and building for the future.

Categories
Visual (Videos)

Oracle for Startups Featuring Complete Intelligence

Complete Intelligence is in partnership with Oracle for Startups, and here’s a Youtube interview featuring our CEO and founder, Tony Nash, where he explained what the company does and for whom. Get to know the technology behind the superforecasting for manufacturing firms and learn how CI helps them be more profitable specially in a highly volatile market like in the Covid pandemic. There’s also a section on how CI uses the Oracle Cloud Infrastructure to better serve its clients around the world.

 

The video above is published by Oracle.

 

❗️ Besides Oracle, Complete Intelligence is also in partnership with Bloomberg, Refinitiv, and Microsoft. Learn more about our Partnership program here.

❗️ Discover how CI can help your company in future cost projections, revenue forecasting, budgeting, and more. Book a demo here for your agile budgeting and forecasting.

 

Show Notes

 

WD: Can you tell me a little bit about what Complete Intelligence does and for who?

 

TN: We work with global manufacturers and we help them better understand their cost and revenue environment. We’ll work directly with their ERP data. Work with IT in the cloud and help them understand the forecast for their costs and for their revenues. So, they’re using their exact data in their exact environment to make great decisions for their clients.

 

WD: I’ve heard what you do referred to as super forecasting, which sounds so cool. Which industries
are best served by the super forecasting that Complete Intelligence offers?

 

TN: It’s mostly manufacturers. We work with chemicals firms, mining firms, electronics manufacturers, industrial manufacturers. So people who make stuff or people who work with firms who make stuff have to know how much that stuff’s gonna sell for, how much it’s gonna cost. Anybody who has risk associated with the future cost or future price, would need what we do to really help them de-risk their future decisions and their proactive planning processes.

 

WD: How are the forecasts that you provide impacted by volatility caused by unprecedented global events, say a pandemic?

 

TN: When Covid came around, when markets were hit dramatically in February, March and into April, we increased the frequency with which we update our forecast to our clients. But we also folded in a lot more volatility-specific algorithms, so that clients would understand what the path back would be like. In a normal year, let’s say the cost forecasts for a major manufacturing firm can be off by up to 30 percent. In some cases even more. So, if you’re planning those expenses and those budgets. You have a huge variance that you’ve got to pad in your budgets.

 

On average, we’re looking at a four to seven percent error rate. We’re helping people in a dramatic way to really de-risk their future outlook on the cost side. What we’re doing is a fully automated process. That guesswork of people sitting around the table saying, “let’s push this number up, let’s take this number down,” that’s a long budgeting process for people. And we really put that in the cloud. We have the machines learn and work through the data and calibrate and reduce that error for clients.

 

WD: Working with global markets and currencies, you must have massive data sets. Increasing the frequency of running those data sets probably requires quite a bit of computational power. How does Complete Intelligence manage that?

 

TN: Wee do that with cloud solutions. We work with OCI and the current generation of OCI to expand our computing capability. Many companies work across clouds. They work across on-perm and cloud and so we’re flexible with all of that. The frequency of those updates, the frequency with which clients want an updated view of the future for different companies changes. You have really fast moving companies who want that on a really high frequency basis. You have slower moving companies who are looking at it maybe monthly. That’s fine. We adjust to all of them.

 

WD: So, flexibility and multi-cloud are two really interesting considerations for dealing with enterprise customers like you do. What are some of the other unique challenges that face startups, like yours right now?

 

TN: With the pandemic, we’ve seen clients be very, very risk-averse. The the risk of taking on a new small company as a vendor is a problem for major companies. They’re trying to figure out how to adjust their business to an uncertain environment. For us, partnering with Oracle has helped to de-risk that decision for major companies. Oracle says Complete Intelligence has a viable solution, let’s talk about how we can help you. And the credibility that Oracle has when we go into a client is really really important for that situation.

 

WD: Aligning with a credible brand that’s been around for 40 years like Oracle is absolutely something that a startup can use to hack their growth. I’m curious about your use of Oracle Cloud and solutions that are open source Cloud native like Kubernetes. Can you talk a little bit about how you work with those Cloud Native Solutions?

 

TN: Kubernetes is a great one where our solution is containerized. We throw it onto Oracle Cloud and we can use it with clients. So, whether it’s the database we use, whether it’s the scheduling languages we use, whether it’s containerization, all of that is flexible on Oracle Cloud. And we can use the open source infrastructure that we have within our specific configuration on Oracle Cloud.

 

Over the last year, OCI has changed a lot in terms of enabling some of the very specific solutions that we’ve had. And very kind of high performance computing solutions that we’ve needed. Accommodation has really given us a lot of confidence with OCI.

 

WD: Your startup has had a pretty unique trajectory. You started the company in Asia and now you’re based in Houston, Texas. What inspired such a significant change?

 

TN: I guess the biggest thought behind there, is this is where the customers are. And to be honest this is where the talent is. The people who are doing the leading edge work in what we’re focused on are here. And the context around manufacturing and the need to automate some of the decisions around manufacturing really are happening in the U.S. and Europe, in a big way.

 

Of course that’s happening in Asia but it’s different in Asia. I spent 15 years in Asia. We conceived of and started Complete Intelligence there but we really utilized as much as we could there. And I came to a point where we just had to move the company to the U.S. to find the resources we need to build the company.

 

It’s been great moving to Texas, has been great. It’s a fantastic business environment. The manufacturing clients here are fantastic. Oil and gas is seeing a lot of headwinds right now which is a real opportunity for us.

 

WD: So the forecast is looking bright for Complete Intelligence?

 

TN: Oh absolutely. Again, with the right partners, we can move into the right clients and any startup trying to go it alone today is going to have a really hard time. It’s possible and it’s probable with the right amount of work put in, but building the right partnerships like our partnership with Oracle has been huge in helping us to accelerate our commercialization and our presence in the market.

 

WD: Absolutely and I know that if startups want to learn more about working with Oracle they can go to oracle.com/startup. If they want to learn more about the exciting work that Complete Intelligence is doing, where should they go?

 

TN: They can go to completeintel.com. We’ve got all of the resources there. We have a weekly newsletter. We have regular video interviews with industry experts, similar to what you’re doing. There are a lot of resources. Our twitter feed is complete_intel as well, there’s a lot there.

 

WD: Great, any secret market intelligence you want to share with our viewers?

 

TN: The changes we’ve seen over 2020 and the risk and volatility we’ve seen over 2020, unfortunately we don’t see a return to normal soon. The challenges that we’ve faced as startups and the challenges that our customers have faced in 2020 aren’t necessarily going away. This type of up and down environments and the persistence that we’ve had to have as startups, 2021 is not going to bring a normal back. We’ll see a little bit more, but as startups we’re going to have to continue to push very, very hard to get the mindshare within those endpoints.

Categories
Podcasts

Behold the Power of Superforecasting

This podcast first appeared and originally published at https://soundcloud.com/user-454088293/behold-the-power-of-superforecasting on August 26, 2020.

 

In just 2 minutes, you’ll learn why superforecasting is so much better than forecasting. Hear how automated, data-intensive AI with no human bias can help make predictions and adjust strategy on the fly, and how startup Complete Intelligence is making it happen.

 

Is forecasting enough when you need to analyze and take action? Meet the startup that says “no.” What’s needed is superforecasting.

 

Hi, it’s Mike Stiles, and this is Meet the Startups for the week of August 26th, brought to you by Oracle for Startups.

 

How can you be happy with forecasting when there’s something out there called superforecasting?

 

Startup founder Tony Nash and his company, Complete Intelligence are making super forecasting possible with a highly automated, data intensive A.I. solution.

 

Part of what makes it so SUPER is there’s zero human bias. No spin or wishful thinking allowed.

 

Complete intelligence is helping organizations visualize financial data, make predictions and adjust strategy on the fly. That gets you things like smarter purchasing, better supply chain planning, smarter cost and revenue decisions.

 

But it’s intense.

 

More than 15 billion data points are run on Complete Intelligence’s platform every day.

 

To get where they needed to be on performance and price, the company moved from Google Cloud to Oracle Cloud. That did it. Computing is at peak performance and Complete Intelligence’s global customers are reaping the benefits. That’s super.

 

We asked Complete IntelligenceCEO Tony Nash what this pandemic has done to forecasting and supply chains.

 

We’ve seen a big shift in how managers are looking at their supply chains. As a result of Covid-19, companies are eager to understand their cost and revenue risks, things like concentration risk and the timing of their cost, that sort of thing. We’re helping our customers with timely and accurate information to make smarter cost and better revenue planning decisions.“

 

What startup doesn’t like better performance and lower costs? Oracle has a startup partnership for you at Oracle.com/startup.

Categories
News Articles

These Startup Pitches Were So Good, Analysts Couldn’t Choose One Winner

This article is originally published at https://blogs.oracle.com/startup/these-startup-pitches-were-so-good,-analysts-couldnt-choose-one-winner

 

It was a battle of the pitches.

 

Before an audience of global analysts, six startups presented and two walked away with kudos for ‘Most Innovative.’

The participants were members of Oracle for Startups, and the webinar was just one perk of the program, similar to our Dragon’s Den event in London in February. Each founder had just three minutes to impress a host of top analysts in virtual attendance, enabling founders to show how they are pushing innovation forward, and analysts to get a sneak peek into the future.

 

Most Innovative: Rocketmat and Supermoney

 

Rocketmat uses machine learning to enable human resources departments to fairly find and retain the best talent for companies. Its CEO and Cofounder, Pedro Lombardo, described the innovation as ‘a brain that you can put in existing AI.’

 

He believes that recruiter tools such as assessments and semantic search are outdated, and that adding AI to several points from ‘hire to retire’ helps with talent retention. “Our solutions range from our recruiting robot Sophia, to ranking candidates against future KPIs in selection and working with the internal company talent management,” he said.

 

In the last 100 days, many healthcare customers are using Rocketmat’s services in response to COVID-19. “Helping those companies recruit very much needed doctors and nurses gave us great press in Brazil,” Lombardo said.

 

He believes Rocketmat saves its customers time and money in selecting candidates. “But the most important and the foremost benefit is equal opportunities. Everybody gets their shot by our algorithms,” he added.

 

Supermoney is a blockchain business making it easy for its customers to build its own blockchain solutions. The technology is based on the Oracle Blockchain platform, which is a wrapper around hyperledger fabric that is the leading enterprise blockchain protocol.

 

“The magic that we bring is in the form of 40 smart contracts – the thing that does stuff in the blockchain – and we provide access to our smart contracts via a suite of APIs,” Joel Smalley, CEO of the London-based fintech explained. There are also user interface templates for iOS and Android, making it easy to build blockchain products to take care of payments and contracts, for example.

 

“Our biggest win at the moment is a partnership with HSBC, which has agreed to provide the payment structure for all of our solutions and … we have some big names in automotive finance too,” he said.

Supermoney is currently building on its success by engineering a front, middle, and back-office system for the insurance industry and has some ‘significant’ companies on-board.

 

Most Creative: Airfluencers

 

Airfluencers was awarded ‘Most Creative,’ and not just because CEO Rodrigo Soriano began his pitch with a Black Mirror clip.

 

“Anyone who’s a content creator needs to know how much they are worth when they post something. Any content has a price and metrics behind it. Our goal is to provide companies and marketing departments with all the information they need to create the most trustworthy content,” he said.

 

Soriano believes that influencers are the future. His company uses proprietary algorithms to estimate an influencer’s reach and value. The startup has 150 global clients so far and Soriano said the company’s benchmarks are “way, way higher than traditional media” in Brazil, sometimes exceeding 20 times traditional digital

 

The startup has two products. The first, a dashboard for marketing departments, allows them to run campaigns end-to-end – from discovery to predictive analysis and measurement. The second product is an analytics app for influencers so they can provide better content to their clients.

 

“Basically, we’re linking B2B with B2C and creating a huge, huge database of content and people where marketing depts can maximize,” Soriano said. “Social media and anybody who creates content is a target for us and we have probably the largest database in Latin America of influencers. We’re pretty happy with it.”

 

Best Overall Pitch: Complete Intelligence

 

Complete Intelligence CEO Tony Nash won ‘Best Overall Pitch.’ Packing plenty of examples into his three-minute presentation, he adeptly explained how Complete Intelligence is a cloud containerized platform for forecasting costs and revenues for better decisions.

 

The Texas-based startup overcomes the problem of inaccurate forecasts for costs and revenues by enabling customers to be specific. “In many cases, we’re significantly better than consensus forecasts,” he said.

 

The company’s products, CostFlow and RevenueFlow, provide context for companies during forecasting with a hierarchical view down to component level, where a CEO can manage the pipeline for procurement.  “We take in data from ERP systems and procurement systems and process it on our platform for highly accurate context,” he added.

 

Finally, drawing on a real client with $2bn of revenue, Nash showed how Complete Intelligence can save millions on cost lines while adding millions in cash flow.

 

“So, this might seem like a very specific forecasting problem, but it leads to a better valuation for manufacturing firms,” he concluded.

 

The Best of the Rest

 

Analysts were also impressed with BotSupply and Gridmarkets’ pitches.

 

Francesco Stasi, CEO of BotSupply, explained how using Oracle’s chatbot platform, the Copenhagen-based firm helps customers build chatbots in up to 27 languages. He highlighted how relationships with Oracle’s sales reps can lead to a better product and big customers.

 

GridMarkets cofounder Mark Ross explained how his startup simplifies and accelerates computationally demanding workloads such as animation rendering, visual effects, and molecular simulations for drug discovery. He explained how the product saves costs and is integrated into the end user’s software and sets up in seconds. “There are no special skills and training required. Our pricing is competitive as we leverage the highly secure Oracle capacity,” he said. The startup has acquired more than 3,000 customers in over 90 countries including Fox Studios, the BBC, and Facebook.