Supply Chain Management Archives • SAP.iO

Kelli Kohout In New York, Supply Chain Management

How To De-Risk Supply Chains In An Unpredictable World

Supply chain collaboration is one of those every day business terms that’s easy to dismiss until a catastrophic disruption strikes like material shortages, product design flaws, production delays, and more. But what if organizations across the supply chain could quickly huddle to pinpoint problems and take action together, staving off anything from minor setbacks to potential disaster? This is the concept behind Inspectorio, a cloud-based solution designed to help suppliers, manufacturers, brands, and retailers work together to reduce supply chain risk through digitalized quality management, ESG compliance, production tracking, and lab testing.

“Automating activities on a centralized data platform helps companies make fast and strategic adjustments in a way that is incredibly collaborative with their supplier base,” said David Klein, president and co-founder of Inspectorio. “Organizations can become more agile and resilient to supply chain disruptions, able to shift sources, product materials, and production locations to address problems and improve productivity and efficiencies.”

After digitalizing manual activities on Inspectorio, Klein said that organizations have averaged 95% time savings in administrative data entry, and 100% time savings in reporting. Customers have improved quality pass rates by approximately 8% on average. Some have reduced defect rates by 14% on average.

Digitizing quality control for accuracy and efficiency

Quality management spans numerous groups, including factories that conduct self-inspections and third-party inspectors who visit facilities. According to Klein, digitizing quality management activities helps suppliers, retailers, and others work together on standardized quality control. Inspectorio incorporates artificial intelligence to monitor facility risk, leading to valuable business insights and cost-savings.

“With data integrity, you can better understand your supplier base and benchmark their performance,” said Klein. “When you designate factories and products by risk factor, you can adapt quality controls appropriately. For example, maybe lower-risk factories can manage self-inspections on their own. High-risk factories producing high-risk products require tighter controls. Over time, you’re able to maximize your resources and lower costs while increasing quality outcomes.”

SAP.iO Foundry New York Kicks Off Supply Chain Management Program

May 24, 2023 — SAP SE (NYSE: SAP) today launched the 2023 program focused on innovation in supply chain management at SAP.iO Foundry New York. The 10 startups have been selected by a jury of SAP experts, partners, customers, and investment funds to join the program. 60 percent of the startups are led by underrepresented individuals.

 A strong digital supply chain strategy is largely a “behind-the-scenes” organizational function. It can differentiate and enable companies to improve efficiency, effectiveness and be resilient to disruption in the supply chain. The SAP.iO program targets B2B startups with innovative supply chain solutions looking to integrate their solutions with SAP products including SAP S/4HANA, SAP Business Technology Platform and SAP Supply Chain Management software.

During the 5-month program, the selected startups work to build and develop long-term partnerships with SAP by defining joint use cases, product integration and various business development opportunities. SAP customers will evaluate opportunities for proof of concepts.

The following startups are participating in the SAP.iO Foundry New York 2023 program: 

AutoScheduler.AI creates optimal warehouse plans and feeds them directly into the warehouse management system (WMS), dynamically optimizing activities based on constraints to ensure that each site runs at peak performance.
DARVIS simplifies and automates processes using computer vision and geo-referencing for logistics and healthcare.
Everstream Analytics delivers predictive insights and risk analytics businesses need to build smarter, more autonomous and sustainable supply chains.
MaintainX combines an intuitive mobile app and cloud technology to enable maintenance, operations, and safety teams to easily manage maintenance work orders, parts inventory, safety inspections, and other standard operating procedures in a single platform.
Morpheus.Network’s solutions help cargo owners, logistics service providers, and government agencies digitize, optimize, and automate their extended global supply chains.
Parsable is a connected workforce platform that digitizes frontline operations and empowers industrial leaders to increase efficiency, reduce costs and improve sustainability.
Partsimony enables organizations to build intelligent manufacturing supply chains that are more resilient and sustainable by unifying engineering and supply chain data.
Transmute‘s Verifiable Data Platform (VDP) digitizes the documents involved in global trade into verifiable credentials to streamline regulatory compliance, maximize business agility, and reintroduce identity, trust, and meaning into supply chains.
Vendia provides a data collaboration platform that increases supply chain visibility and enables real-time actions by all participants.
Versed AI‘s cutting-edge AI delivers relevant, rapid and secure supply chain visibility, pinpointing your risks across multiple tiers.

About SAP.iO
SAP.iO curates a relevant and diverse startup ecosystem that extends the value of SAP solutions and meets the continuously evolving needs of our customers. Our programs provide dedicated support to the most promising startups as they launch and scale relationships with SAP and our global network of customers, partners, and employees. Since 2017, we have connected thousands of SAP customers with innovative enterprise software startups, helping them find solutions to their unique needs. For more information, visit http://sap.io/.

Kelli Kohout In Supply Chain Management, Paris

Shippeo Recognized in the 2023 Gartner® Magic Quadrant™ for Real-Time Transportation Visibility Platforms

Shippeo, a global leader in real-time multimodal transportation visibility, announced it has been recognized in the Gartner® Magic Quadrant™ for Real-time Transportation Visibility Platforms.

“I am pleased to see many of Shippeo’s recognitions over the past 12 months reflected, we believe, in our positioning in this year’s Magic Quadrant,” says Shippeo co-founder and COO, Lucien Besse.

Shippeo has a 95% willingness to recommend rating on Gartner Peer Insights™, receiving the overall rating of 4.8/5*. “These are highly important metrics for us, and reassure us that we are providing our customers with the best value, and delivering what we promise,” says Besse, adding “we believe this high customer satisfaction was helped by the fact we are the only provider to offer a triple SLA, which contractually guarantees rapid carrier onboarding, high tracking rates, and high ETA accuracy, as well as the tremendous progress we have made across all aspects of our business over the last 12 months.”

The company recently raised a record $50m in fundraising, with all existing investors taking part. “This fundraising round is the largest ever for a supply chain visibility software in Europe,” explains Besse. “It will help us bolster our sound financial position for many years to come, and accelerate our ongoing North American and APAC expansion, while giving customers and partners confidence in the longevity potential of our partnerships with the strong path to profitability we’ve laid out as a company.”

Existing investors taking part included Battery Ventures, Partech, NGP Capital, ETF Partners, Bpifrance Digital Venture and SAP.io. Notable new strategic investors include Hong Kong-based LFX Venture Partners and Japan-based Yamaha Motor Ventures, whose investment is helping to ramp up operations across Asia-Pacific, as well as Orlen VC, based in Poland, and Shift4good, a global VC fund dedicated to impact investing in smart mobility and circular economy businesses.

5 companies leveraging startup innovation to improve their supply chains

In today’s fast-paced business environment, businesses are turning to startups for innovative solutions to enhance their supply chain operations. By leveraging startups’ agility and creativity, companies can overcome supply chain challenges and gain a competitive edge.

SAP.iO makes it easy for SAP customers to work with the most innovative and relevant enterprise software startups by helping startups integrate with SAP solutions. Our portfolio has 100+ enterprise-ready startup solutions that are helping customers solve their most important supply chain management challenges.

In this roundup, we will explore five companies successfully harnessing startup innovation to improve their supply chains.

Shippeo & Fressnapf Group: Improving promotion planning to better serve customers with multimodal visibility

Fressnapf Group worked with Shippeo’s real-time transportation visibility platform to boost its supply chain visibility, reduce transportation costs, and improve customer service. The collaboration resulted in a more efficient and streamlined supply chain management process for Fressnapf Group.

Shippeo works with SAP Industry Cloud & SAP Logistics Business Network and is available on the SAP Store.

Inspectorio & Yunus: How Textile Manufacturer Yunus Solved Supply Chain Challenges with Inspectorio

Textile manufacturer Yunus successfully addressed supply chain challenges by leveraging Inspectorio. Yunus utilized Inspectorio’s inspection and quality management platform to streamline their supply chain operations, enhance communication and collaboration among stakeholders, and improve overall product quality, increasing efficiency and customer satisfaction.

Inspectorio works with SAP S/4HANA and is available on the SAP Store.

NET2GRID & E.ON: Increased customer engagement through disaggregation

E.ON, a leading energy company, utilized NET2GRID’s smart control app to provide personalized energy management services to its customers. The app’s data-driven insights and recommendations helped E.ON’s customers better understand and control their energy usage, increasing customer satisfaction and energy efficiency.

NET2GRID works with SAP Industry Cloud, SAP Extension Suite & SAP Integration Suite and is available on the SAP Store.

Shyftplan & Siemens: Higher employee satisfaction and productivity thanks to automated shift planning

Siemens Energy worked with Shyftplan’s workforce management software to optimize employee scheduling, shift planning, and time tracking. The partnership lowered administration time and costs and improved workforce planning and employee satisfaction.

Shyftplan works with SAP SuccessFactors Workforce Analytics & SAP Industry Cloud and is available on the SAP Store.

Geek+ & Decathlon: Europe E-commerce giant sees massive logistics upgrade

Decathlon’s European e-commerce operations worked with Geek+ automated robots and AI-powered solutions to streamline their warehouse operations, optimize inventory management, and achieve a 300% increase in productivity. This collaboration improved order processing times, reduced operating costs, and enhanced customer satisfaction for Decathlon’s European e-commerce business.

Geek+ works with SAP Extended Warehouse Management, SAP Extension Suite, SAP Integration Suite & SAP S/4HANA and is available on the SAP Store.

All trademarks are the property of their respective owners.

Kelli Kohout In Berlin, Munich, Supply Chain Management

Astræa Launches New Satellite Tasking Capabilities With Major Satellite Imagery Providers

Astraea, a platform for spatiotemporal data and analytics, announces a new ordering service offering access to advanced satellite imagery sources from providers like Planet Labs PBC, among others. With the launch of the ordering service, Astræa customers get scalable access to the most advanced commercial satellite imagery on the market.

“The advanced monitoring capabilities that are enabled by Planet’s tasking combined with Astræa’s spatiotemporal platform enable highly detailed monitoring applications related to elevating market intelligence in the renewable energy, commodity trading, and ESG sectors in particular”

By providing access to all of the world’s best imagery providers within a single solution and a flexible, pay-per-use pricing model, Astræa is making imagery-derived insights more accessible and an enterprise-grade space strategy more obtainable. The unique pairing of Astræa’s platform with the new ordering service helps position Astræa as an industry leader in strategic imagery collection and spatiotemporal analysis. Enterprises can now maximize the value of Earth observation (EO) by leveraging scientific imagery for broad analysis and zeroing in on risk and opportunity indicators with commercial imagery. Flexible delivery operations support integration into existing business systems and platforms.

Inspectorio Introduces World’s First Generative AI-Driven Supply Chain Management SaaS Product

Inspectorio, the leading AI-powered SaaS solution for supply chain organizations, continues to break barriers in the supply chain industry with today’s introduction of the Inspectorio CAPA recommender, the world’s first ChatGPT-driven generative AI tool to assist brands, retailers, suppliers, factories, and others with supply chain management.

“As a pioneer in the supply chain field, Inspectorio is leading the way into a new era of generative AI, where physical and digital worlds converge. The industry-first launch of the CAPA recommender furthers our mission to streamline processes, accelerate supply chain performance, inspire innovation and push technological boundaries, enabling our clients to be more efficient and collaborative across their ecosystem,” said Carlos Moncayo, CEO of Inspectorio.

The AI-powered CAPA recommender tool unlocks unprecedented efficiency and effectiveness improvements by addressing critical pain points in the quality control process, specifically related to the research, validation and development of corrective action plans.

Leveraging data from across its supplier ecosystem, the CAPA recommender marries collaborative intelligence with generative AI to deliver proven guidance on corrective and preventive action, reducing the need for time-consuming manual investigations. Its benefits include:

Detecting patterns and trends from historical data and the Inspectorio ecosystem
Identifying the root causes of defects or non-conformities in products
Improving the speed and quality of proposed corrective actions and preventive action plans
Providing personalized automated recommendations, reducing the time and cost of manual investigations
Enabling greater transparency, trust and reputation management among all partners

Brands, retailers, suppliers, and factories will experience the enhanced supply chain performance, streamlined operations, and accelerated decision-making that is ultimately required to thrive in today’s rapidly evolving market.

Andonix Introduces Andi, the AI-Powered Manufacturing Chatbot Revolutionizing Factories

Andonix proudly introduces Andi, the AI-powered manufacturing chatbot designed to bring AI augmentation to factory workers. Andi is an advanced natural language processing solution driven by AI technology, enabling factory workers to engage in human-like conversations and request expert help and support from the chatbot. Andi can assist with tasks such as automatically monitoring machine and process performance, solving problems, and generating action plans, checklists, and work instructions.

Andi can also learn company-specific information like machine operation and troubleshooting manuals, quality systems, HR manuals, and more, providing instant support for specific questions like how to fix particular machine failure codes, identifying the top three problems causing the most downtime in a machine, determining the FTQ for the last hour, or even clarifying company vacation policies. Andi offers unprecedented efficiency, productivity, and real-time guidance for factory teams, streamlining operations and continuously delivering data-driven insights to improve manufacturing outcomes.

Execution Performance Enhanced

Factory worker teams, and managers face numerous challenges, such as monitoring machine performance, addressing equipment downtime, maintaining product quality, ensuring worker safety, and managing resources effectively. These tasks often require real-time decision-making, data analysis, and communication with the workforce, placing significant demands on managers’ time and expertise.

Additionally, managers often need more resources, such as time, personnel, and budget, making it difficult to effectively address all performance monitoring and problem-solving needs. Constant firefighting, crisis management, and managing multiple stakeholders simultaneously leave teams with no time to spare.

Andonix customers have frequently voiced concerns about inefficient communication. Following trending issues and prioritizing urgent matters versus important ones can be extremely challenging using WhatsApp, Email, SMS, phone calls, etc. Communication gaps between different departments, teams, and personnel can hinder the timely exchange of information, slowing down problem detection and resolution.

This is why Andonix created Andi. With Andi, customers can access a manufacturing expert on demand when needed, without delays or constraints; Andi can send timely automatic notifications when a problem or anomaly is detected when monitoring a machine or process. Whether on WhatsApp, Web, iOS, or Android, factory teams can instantly consume performance metrics and access expert help to make informed decisions to solve problems in a way that was impossible just a few months ago.

Revuze Recognized as Minicorn in Tracxn Emerging Startup Rewards

Tracxn recognizes Revuze as a Minicorn, a high-growth early-stage venture preparing for accelerated growth with the potential to become a Unicorn – a startup valued at over $1 billion. This recognition showcases Revuze as one of the leading tech startups of Brands Tech.

The Tracxn Emerging Startup Rewards is an initiative to publicly recognize the top global companies across sectors. Besides the well-known Unicorns, Tracxn also identifies Minicorns as well as Soonicorns, companies that can soon be Unicorns.

“[Revuze is] the first company to make deep market insights available to any business user from the comfort of their desk at an affordable price. No more standing in line for data or waiting on research to come back. Now any business role can make the best possible decisions”

Revuze’s unique product positions it and its clients for great profitability. Tracxn’s startup ratings are based on a detailed analysis by Tracxn’s internal sector specialist teams coupled with a combination of multiple publicly available signals such as market size, investment by marquee investors, execution excellence, and future growth prospects.

Stephanie Benedetto Leads the Charge on Deadstock

Stephanie Benedetto is leading the industry in circular fashion as the co-founder of Queen of Raw, an award-winning software that takes action on excess inventory, measures, and reports, and turns pollution into profit. This week, Benedetto joins a CFDA webinar on designing with deadstock to share her insights on the current landscape of this market and the opportunities and benefits of working with excess fabric.

What prompted you to start your business, Queen of Raw?

I had a factory and saw firsthand the massive amount of waste and breaks in complex supply chains. There are valuable resources sitting in warehouses collecting dust or being burned or sent for combustion. And organizations all over the world are looking for access to these materials. I realized this is just a supply-demand mismatch and we could use technology to bridge the gap, across industries and around the world. I left my job as a Wall Street attorney to tackle the problem head on and to build a solution for people, planet, and profit!

Can all brands (big or small) begin using deadstock as part of their design practices?

There is no company too big or too small to take advantage of integrating rescued fabrics into their designs – or to sell excess inventory that is no longer needed. We have large enterprise clients with millions of meters of high-quality materials which match well with other large brands looking to create entire deadstock collections. And we have smaller designers looking to create limited edition deadstock pieces but can’t commit to large, expensive orders.

Leveraging our proprietary software, Materia MX, they can get access to what they need, when they need it and drive the project from start to finish!

Realizing that all change is good change, we also offer a more basic membership in our software and network for smaller businesses who are looking to sell or purchase excess inventory but don’t need comprehensive ESG reporting or global supply chain integrations and inventory management.

Kelli Kohout In Supply Chain Management, San Francisco

Verusen Launches AI-Powered Supplier App

Verusen announced the launch of its AI-powered “Trusted Supply” application, enabling industrial distributors, integrators and suppliers to maximize visibility into customer demand to grow revenue and improve network resiliency for their customers.

Data for the materials used throughout industrial supply chains is dirty, incomplete and inconsistent as it passes through end-user and supplier systems. The traditional solution has always been data cleansing for multiple siloed applications and manual processes that cost all parties too much time, money, and risk.

Verusen’s Trusted Supply is an application purpose-built for suppliers featuring natural language AI models to enable suppliers to respond more effectively to customer needs, regardless of system or data quality. Today, the offering is designed to streamline the RFx process, exponentially improving the match rate for materials requested by customers and prospects, enabling suppliers to respond in hours instead of weeks.

Future enhancements to Trusted Supply focus on improving efficiency and enhancing revenue generation with key areas of development including:

Real-time exchange of demand signals with customers
Tail spend optimization and contract compliance
Collaborative planning capabilities between suppliers and their buyers

“Entering our third year in market supporting dozens of F500 manufacturers and generating hundreds of millions in savings opportunities for them, we recognized that the next evolution of supply optimization is to simplify buyer-supplier collaboration to build resilient supply networks,” said Paul J. Noble, Verusen founder and chief strategy officer. “Speed and scale wins. I’m proud that today, Trusted Supply will help remove the friction from the RFx process and that in the future, Trusted Supply will enable real-time collaboration between suppliers and their customers, eliminating data dependent manual processes to make it easier to buy, easier to sell and reduce risk across the supply chain.”

Milkman Technologies is a WINNER in the SAP Innovation Awards 2023

Milkman Technologies has been named a winner of the 2023 SAP Innovation Awards award in the Partner Paragon Category for their flexible, efficient and green last mile home delivery operations platform. The SAP Innovation Awards celebrate the achievements of future-minded companies and individuals that have harnessed the power of the latest SAP products and cloud technologies to create positive economic, environmental, and social impact so that the world runs better, and people’s lives are improved.

Ivaldi Launches ChatGPT Digital Assistant for Troubleshooting & On-Demand Ordering

Ivaldi Group unveils a ChatGPT-enabled troubleshooting and on-demand ordering solution for maintenance teams. This AI-driven digital assistant simplifies maintenance operations, enabling faster access to crucial spare parts.

Ivaldi’s custom ChatGPT integration allows secure equipment data and maintenance documentation to be indexed and accessed through an AI assistant. Maintenance crews can engage in custom dialogues with the AI system for tailored information, eliminating the need for physical manuals or online document searches.

The platform also facilitates ordering replacement components directly through the interface. If a part is not already in the Ivaldi virtual library, users can submit 2D drawings or simple sketches, which the system converts into custom-generated models within pre-engineered categories. Once approved, Ivaldi then creates a printable 3D model and coordinates production and delivery with its partner network of 15,000 local manufacturers.

Espen Sivertsen, Ivaldi CEO, highlights the benefits: “Over eleven billion dollars were lost last year due to spare parts shortages. Providing maintenance crews with better information and faster spare parts access will save companies time and money, reducing risk, improving safety and extending the useful life of equipment.”

Geek+ robots picked 10 billion items in the past year

Geek+, the global leader in mobile robots, has announced that its combined worldwide fleet of robots picked ten billion pieces over the course of the past year. The company’s goods-to-person picking solutions deployed around the world have covered great distances, handled huge volumes of stocks, and, as a result, contributed greatly to the goals of making logistics more efficient and sustainable.

Yong Zheng, Founder and CEO of Geek+, said: “We are very proud of what we have achieved recently. The amount of merchandise that our robots have handled, coupled with the savings in time and energy, demonstrate that mobile robots are a technology for today’s problems and a brighter future.”

Geek+’s picking robots traveled more than 175 million kilometers throughout the year, which is more than the distance from the Earth to the sun. Each day, the number of items managed by Geek+ robots and warehouse management systems reached as much as 750 million.

These combined efforts saved Geek+ customers over 17,000 hours of laborious manual tasks during the year. By switching from manual operations to robotic automation, these Geek+ operators could replace inefficient logistics equipment with modern mobile robots that do not require electric lighting, heating, or air-conditioning. The result was a savings of over 16 million kilowatt hours of energy. This translates into 140 000 tons of carbon emissions: To transport the equivalent amount of coal would require 887 trains.

Over the past year, Geek+ has added new projects and expanded its collaboration with existing clients and continued to learn from its successes. The software behind Geek+’s warehouse management systems was optimized to boost robot efficiency by 15%. Geek+ will continue to improve and enhance its technology and expects further gains in sustainability and efficiency in 2023.

3 Innovative Solutions Shaping The Future Of Agriculture

Getting food from the field to the table is a complex process. Exposure to pests, disease, or harsh weather can impact the quality of the crops. At the same time, climate change is leading to soil degradation and loss of biodiversity while insufficient land increases the pressure to produce more on less space.

At the recent SAP.iO Foundries Sustainable Agriculture Latin America Demo Day, three startups presented solutions that can help farmers improve the quality of their crops, optimize farming strategies through personalization, and improve biological capital by managing soil more efficiently. These tactics can all play a role in successfully feeding 9 billion people for the next decades.

Improving the quality of raw materials

“In the agricultural industries production plans are based on the quality of raw materials,” said Madeleine Valderrama, CEO and Founder of AI Bruna, a supply chain planning solution powered by artificial intelligence developed by AltumLab Chile. She explained that producers expect the quality of raw materials to be consistent, but reality is different. Because it’s impossible to predict quality with complete accuracy, planners deal with variability by improvising, which can lead to increased use of water and energy and up to 20% loss in profitability.

After eight years working in Chile’s salmon farming industry, Valderrama knew what kind of tools would be required to tackle this issue. AI Bruna uses artificial intelligence and genetic algorithms to factor operational restrictions, deficiencies, and defects into strategic harvesting plans. It connects Planning, Harvesting and Commercial areas, providing a strategic view of the entire operation.

Valderrama used the example of Caña Brava, a sugar cane producer in Peru that is using the tool. In the first stage, months before the harvest, AI Bruna uses historical data such as climate, performance, soil type, water usage, and fertilization patterns to predict the expected concentration of sugar in the harvested cane.

Next, it suggests modifications in irrigation or fertilization as the plants are maturing to make sure the cane will satisfy the commercial contract after the harvest. Thanks to AI, Caña Brava was able to reduce water and energy consumption by over 4% and costs by 11%, and increase production capacity by 7%, and the value of the cane as raw material by 17%.

With AI, accurate demand forecasting is possible

Many businesses struggle with demand forecasting. Whether you run a small business or a large enterprise, the challenge of predicting customer behavior and stock levels never gets easier. Even major organizations like Target and Walmart that are able to afford teams of data scientists have recently reported struggles with excess inventory due to poor demand forecasting.

During this time of global uncertainty, many businesses have adopted a just-in-case mindset. They’ve relied on archaic methods of forecasting, scouring old data and drawing poor conclusions based on past problems.

But understanding demand accurately shouldn’t be so much of a struggle in 2023. Even as we battle post-pandemic turmoil, we now have clear alternatives to legacy forecasting tools — thanks to artificial intelligence (AI). And we don’t need endless reams of historical data to access the real-time patterns necessary to accurately forecast demand. In fact, AI-driven demand sensing has been shown to reduce inventory errors in supply chain management by up to 50%, according to McKinsey & Co.

Every company produces data, of course, but it’s almost all trapped in siloes and walled-point solutions that have evolved for specific tasks over many decades. Siloes emerge for noble reasons — they represent a business’s attempts to organize and become structured.

Truthfully, siloes are useful in many scenarios, but if the boundaries between them are too sturdy and there’s a lack of effective communication, siloes will negatively impact business, putting more pressure on processes. Inaccuracies are most common in silo-heavy organizations because teams and departments just don’t have enough of a shared language. Rigid siloes also make data, even good data, less credible.

When working with ThroughPut’s clients, I’ve seen AI make all the difference in demand forecasting. That’s because it can pull from disparate datasets, using real-time patterns to sense the demand around the corner rather than just assuming future demand from past events.

Using an AI-driven system will pick out time-stamped data — regardless of barriers — and rapidly stitch together a global vision of your virtual supply chain network. Supply chain AI processes the best signals from the noise that is constantly being generated by your disparate data systems and turns the din into a song you can understand.

Furthermore, AI is superior at analyzing and making sense of data in vast quantities; yet it also doesn’t need much information to learn. AI trained for real-world applications already intuits which data signals to extract from an ocean of noise, so it can solve needs before they cause problems.

The quality of data is most important, not the quantity, and delaying the use of AI to sense demand is only going to cause current supply challenges to stagnate and potentially get worse. From there, share prices and shareholders suffer. We are seeing this today across industries: innovation laggards and slow adopters paying the price for relying on old forecasting methods.

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