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How CPG Brands Keep Up with Retail’s Fastest-Moving Consumer Demands

Nobody understands the frustration of consumers who can’t find the products they’re looking for more than the experts at Teamcore, an artificial intelligence (AI)-based startup with operations in Latin America and the United States. Teamcore’s cloud-based software platform uses machine learning to power intelligent workflow automation that tells consumer packaged goods (CPG) companies and retailers why products aren’t selling and what they can do about it fast.

“We help CPG companies and retailers make sure products are available when their customers are ready to buy,” said Sergio Della Maggiora, founder and CEO of Teamcore. “Whether someone is shopping online or in a physical store, our retail execution platform based on intelligent workflows helps connect data across the supply chain – from warehouse to shelf, virtually or in-store – so companies don’t miss out on sales opportunities.”

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SAP.iO Foundry Berlin Launches Health Sciences Startup Program

October 5, 2021 SAP SE (NYSE: SAP) launched a virtual startup program focused on health sciences at SAP.iO Foundry Berlin. The eight international startups have been selected by a jury of SAP experts, partners and customers to join the program.

The COVID-19 pandemic has further demonstrated that a digitalized patient journey and efficient clinical trials are imperative to a good health system. With this program, SAP.iO aims to increase the visibility and influence of startups who have made improvement in these areas their mission.

“Our customers depend upon SAP and our ecosystem to provide them with access to the best innovations for their businesses, delivered quickly, in order to provide real, tangible benefits”, said Matthew Laukaitis, Global General Manager, Consumer Industries at SAP. “The SAP.iO program helps our customers understand each startup’s niche innovation and use cases that are consistent with their data and business strategy. We are enthusiastic about working with each of the selected health sciences startups together with our customers, as the pace and impact of these innovations is far-reaching all across these industries.”

Over the next 12 weeks, the startups will have access to curated mentorship from SAP executives, exposure to SAP® technology and application programming interfaces (APIs), and opportunities to collaborate with SAP customers around the world.

The following startups are participating in the SAP.iO Foundry Berlin program:

Life Science Track

  • Chekkit provides a patented consumer intelligence, engagement and loyalty software-as-a-service (SaaS) solution to help medicine and pharma companies fight illicit traders and fake medicines.
  • Endeavor is a global consulting and specialty products firm with a focus on manufacturing, supply chain and logistics solutions in SAP and other IT platforms.
  • GenLots provides a SaaS solution that uses machine learning to optimize supply chain processes including order plans, inventory, transactions and prices.
  • Tag-N-Trac offers a proprietary ultra-thin smart label technology linked to a hardware-enabled SaaS/analytics platform that provides real-time supply chain visibility and traceability.

Healthcare Track

  • Laura offers a machine learning-based clinical decision support system and an omnichannel platform to simplify access to medical services and improve the overall patient journey.
  • Oribta focuses on conversational AI for healthcare and life science. Their virtual assistants and conversational platform help with digital front door applications, remote patient support, pre- and post-visit outreach, and other critical interactions throughout the care journey.
  • Vyasa Analytics enables clients to organize and manage unstructured and semi-structured data assets via its Layar deep learning data fabric software. Data integrated within Layar can be used to derive insights and build dynamic knowledge graphs with intuitive natural language question answering.
  • ELLKAY builds the data pipeline for labs, hospitals and health systems, ambulatory providers, healthcare IT vendors and payers. They offer interoperability data solutions, including data integrations, interface and connectivity solutions, data exchange feeds and conversion and data archive services. 

About SAP.iO
SAP.iO delivers new partnerships and products for SAP by accelerating and scaling startup innovation as well as incubating employee ventures. SAP.iO brings together innovators from every region, industry, and line of business to transform how businesses run. Since 2017, SAP.iO has helped 300+ external startups and internal ventures accelerate their growth while enabling thousands of SAP customers to access innovation. For more information, visit http://sap.io/.

Too Good To Go Celebrates 1 Year Fighting Food Waste in the U.S.

Too Good To Go, the tech-for-good company powering the world’s #1 anti-food waste app, today celebrates its first anniversary in the U.S. and the impact it’s had fighting food waste across the country, from New York City, Washington, D.C. and Chicago to Austin, San Francisco and Seattle. Via the Too Good To Go app, available for iOS in the Apple store or Google Play for Android, the company has successfully connected millions of Americans with surplus from local restaurants, bakeries, cafes and grocery stores so delicious food doesn’t go to waste, or further contribute to the climate crisis.

The newest Intergovernmental Panel on Climate Change (IPCC) report, released last month, called attention to a shocking reality of the climate crisis, notably that food waste now contributes to 10% of all global greenhouse gas emissions—up from 8% in years prior. With this in mind, Americans now have an easy way to take action against food waste through the Too Good To Go app. In just one short year in the U.S., over 1.5 million Americans and 5,000 food businesses have downloaded the app, and collectively saved over 800,000 meals – the carbon footprint equivalent to 394 flights around the world.

“The U.S. has really embraced our super simple concept for saving surplus food, to the point where we’ve never seen this amount of impact and growth in a new market this quickly,” said Lucie Basch, Co-founder of Too Good To Go. “We’re so excited to bring our solution to even more U.S. cities in the coming months and we can’t wait to see what next year holds.”

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Now Streaming: Binge-Worthy Digital Corporate Learning Programs

Imagine getting immersed in your next corporate training program the same way you’ve binged watched your favorite Netflix series. That’s the kind of engaging employee training experience that startup Hardskills has created.

Unlike traditional formats that rely on talking head lectures, Hardskills training programs are more akin to cinematic productions, featuring professional directors and actors who replicate real-world situations culturally aligned to global audiences. The objective is to serve up personalized content that builds someone’s human skills. As digital natives increasingly dominate the workforce, it turns out that skills such as being open to new ideas, critical thinking, and influencing people are prized just as much as technical know-how in the enterprise arena.

“Our digital learning platform delivers the content, technology, administration, and metrics that provide personalized, interactive training for people to gain the behavioral and cognitive skills they need,” said Shoba Purushothaman, co-founder and COO at Hardskills. “With data-driven assessments, we deliver personalized coaching based on the skills graph of each employee.”

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How CPG Brands Are Keeping Up With Retail’s Fastest-Moving Consumer Demands

Nobody understands the frustration of consumers who can’t find the products they’re looking for more than the experts at Teamcore, an AI-based startup with operations in Latin America and the United States. Teamcore’s cloud-based software platform uses machine learning to power intelligent workflow automation that tells CPG companies and retailers why products aren’t selling and what they can do about it fast.

“We help CPG companies and retailers make sure products are available when their customers are ready to buy,” said Sergio Della Maggiora, founder and CEO of Teamcore. “Whether someone is shopping online or in a physical store, our retail execution platform based on intelligent workflows helps connect data across the supply chain from warehouse to shelf virtually or in-store, so companies don’t miss out on sales opportunities.”

Based on sales data analytics, Della Maggiora said that Teamcore’s machine learning algorithm detects when products aren’t selling as planned, and in over 94 percent of cases, finds the root cause of the problem before assigning a task. Unlike garden variety alerts, Teamcore’s intelligent workflow notifications keep going until they reach the people who solve the problem. If someone in replenishment can’t find the product in the warehouse to restock virtual or in-store shelves, the workflow automatically routes that task to the appropriate store sales representatives, all the way up to regional store and supply chain managers.

“Teamcore connects the whole CPG and retail team for opportunity detection sales, and doesn’t stop until someone actually fixes the problem,” said Della Maggiora. “Over time, the collected data trains the model, improving its accuracy and ability to make predictions about potential issues.”

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Eye-Tracking: Control Your Computer with Your Gaze

Historically, exceptional situations always give innovations a nudge. When the pandemic hit, companies of all sizes and areas of business had to rethink the ways their workforce would work best in the ‘new normal.’

Many companies have always been investing heavily in how their workforce can work best, whether they are developers, sales and services employees, or in administration. Each has individual needs, but what they all have in common is that they need access to a computer in order to fulfill their tasks. They use a keyboard, a mouse, and touch as the de-facto, standard interaction with the machine. This technology hasn’t evolved much over recent years.

At offices, we are used to working according to ergonomic standards whereas in our home offices we may not have these standards available.

Next Generation of User Experience – From ‘Touch Less’ to ‘Touchless’

Did you know that, on average, 25% of a work day is spent using a mouse, accounting for thousands of clicks and scrolls? We switch between the keyboard and mouse up to 2,000 times per day. In an internal pilot at SAP with 35 users from different departments, almost 500 kilometers of mouse-movement distance was measured within six weeks.

This not only costs a lot of time but also causes stress-related diseases, such as repetitive strain injuries (RSI), also known as ‘mouse arm.’

With the eye-tracking solution NUIA from SAP partner 4tiitoo GmbH Munich, it is possible to provide an innovative tool to employees, working to address their ergonomic situation, reduce mouse movements and mouse-keyboard swaps, and improve efficiency and appearance during customer calls.

All SAP colleagues can order this solution to use in the office and even their home offices.

Following its pledge to flex, SAP’s future of work plans include monitors equipped with eye-trackers by default and the ability to download necessary software just by scanning a QR code.

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Too Good To Go Partners With Waze to Fight Food Waste

Too Good To Go is an app that connects users to stores and restaurants with unsold surplus food and offers it at a discounted price. This week, the company announced that it has partnered with Waze, a GPS navigation software app, to fight food waste.

The partnership is called Waze for Good initiative, and it will last throughout the month of August. On the Waze app, the map will feature 100 Too Good To Go partner businesses in the metro areas of Washington D.C., Seattle, New York, Philadelphia, and Portland. Some of the featured stores will include Just Salad, Auntie Anne’s La Colombe, Juice Press, PLNT Burger, Café d’Avignon.

Waze users will see dropped pins on the map for Too Good To Go business partners. When selected, these pins will give information about the business and the initiative. The participating partners will offer “surprise bags” of surplus food, costing around $3.99-$5.99 each, that users can pick up. Earlier this month, Too Good To Go partnered with JOKR, a ghost grocery store chain to offer similar $5 surprise bags of surplus products.

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DataRobot Acquires Zepl to Enhance Enterprise AI Platform Capabilities for Advanced Data Scientists

DataRobot, the leader in enterprise AI, today announced the acquisition of Zepl, a cloud data science and analytics platform. The acquisition — unveiled today at DataRobot’s virtual conference, AI Experience Worldwide — will unlock new capabilities within DataRobot’s enterprise AI platform for the world’s most advanced data scientists.

“We have always known that to lead the AI market, we must embrace all creators of AI systems, from analysts and citizen data scientists who prefer using a GUI to advanced data scientists who love to code,” said Dan Wright, CEO of DataRobot. “Through the addition of Zepl, we now give advanced data scientists more flexibility to use our enterprise AI platform within their existing workflows, including the ability to use their own code. By incorporating Zepl into the DataRobot platform, we plan to further democratize data science across every enterprise and significantly accelerate our code-centric roadmap.”

Zepl was founded by the creators of Apache Zeppelin, an open source notebook for data and analytics that has been downloaded more than 500,000 times by data scientists from some of the biggest brands in the world. Zepl provides a self-service data science notebook solution for advanced data scientists to do exploratory, code-centric work in Python, R, and Scala with enterprise-ready features such as collaboration, versioning, and security.

DataRobot will incorporate Zepl as a cloud-native, self-service notebook in its enterprise AI platform to drive productivity, efficiency, and collaboration for multiple personas. This will unlock additional flexibility for data scientists who prefer to code by allowing them to write their own tasks and custom models extending the out-of-the-box capabilities provided by DataRobot. With the integration of Zepl, business analysts will be able to build models using the power of DataRobot’s automation and then collaborate with their advanced data science colleagues for additional customization if desired, all on the same platform. It will also provide a more transparent view of the code behind DataRobot blueprints, further enhancing trust and explainability within the platform.

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Sustainable Business Is Better Business for All

Sustainability is the business challenge of our lifetimes.

Customers are increasingly educated and demand products and services that minimize negative environmental impact. Investors are integrating climate risk in their portfolio strategies. Government regulation is on the rise around the world, affecting carbon emissions, waste management, product design, and producer responsibility. Employees are increasingly vocal about their employer’s environmental policies and actions, making it challenging for businesses to recruit top talent without a genuine environmental vision and track record.

Based on Accenture research*, enterprises with high ratings for environmental and social governance (ESG) performance attained operating margins nearly four-times higher than those with low ESG ratings and generated annual total returns to shareholders that were double their peers. According Accenture and United Nations (UN) Global Compact research, 54% of CEOs agree sustainability is critical to the future success of their organizations, and 71% of investors believe the pandemic will accentuate global policies to tackle risks related to climate change.

From Periphery to Core

Enterprises must show accountability through ESG performance and manage end-to-end operations responsibly. By reimagining its business model, any company can operate in an intelligent way, minimize negative environmental impact, and unleash a new dimension of enterprise resource planning (ERP). Decision-makers can use this intelligence to design better products, create engaging experiences, and equip employees to do their best work by eliminating busywork. They can create an efficient, ethical, and adaptable supply chain, reaching beyond organizations and first-tier suppliers to proactively manage performance and risks with trading partners around the world.

Just like any other core business function, sustainability performance must also be managed in real time and integrated into wider business decision making. True, integrated reporting will go hand-in-hand with ESG management, and information transparency will provide a solid foundation to optimize financial results and sustainability performance together.

Most companies have a long way to go before they move beyond the basics of simply reporting ESG performance to actively steering their business operations toward ambitious sustainability goals. While the UN Global Compact’s SDG Ambition program has challenged companies to enhance their commitment to the UN Sustainable Development Goals (SDGs), only 25% have set goals aligned to societal or environmental needs. Although CEOs acknowledge the universal call-to-action to achieve a better and more sustainable future for all, less than 50% have implemented sustainability into their operations.

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With Stylumia, Real-Time Data Intelligence Powers Competitive Retail Advantage

Consumer fashion may be among the most unpredictable markets on the planet, but one startup in India has created a demand sensing platform based on artificial intelligence (AI) that combines the brilliance of data scientists with seasoned industry experts to ferret out trends with uncanny accuracy. The idea is to close the gap between supply and demand.

“We help companies create demand-driven fashion forecasts from consumer data across a holistic value chain,” Ganesh Subramanian, founder and CEO at Stylumia, said. “Our demand sensing engine collects and analyzes publicly available global data to rank product trends, providing fashion designers, retail buyers, and merchandisers with a much deeper understanding of real-time consumer demand signals.”

More Profitable and Sustainable Business

Forecasting fickle consumer appetites for unseen products has long stymied the most experienced minds in the fashion world. Stylumia can reveal breaking trends, allowing people to make design and merchandising decisions perfectly in sync. This can reduce under- and overbuying.

According to Subramanian, the typical Stylumia customer has improved the prediction accuracy of style and color levels by up to 30% and increased sales and revenue between 25% to 50%, compared to the performance of products not designed and merchandized using the platform. Customers have also reduced excess inventory and carbon footprint levels by an aggregated average of up to 40%.

“When products are selling well, companies have less stock and are able to lower their carbon footprint because they’re using fewer resources while generating the same amount of revenue,” he said. “Since our founding, we have reduced the number of garments that our customers have produced by over 60 million while their sales and profits have grown.”

Consumer Intelligence Research on Steroids

From its headquarters in India to hubs in Australia, the U.S., and the UK, Stylumia’s teams work with fashion, sports, and lifestyle brands that represent companies of all sizes worldwide.

Instead of brainstorming solely by intuition, designers and buyers log in to their personalized portal to storyboard ideas using Stylumia’s AI-fueled algorithm or their own images for design inspiration. As they select colors, materials, patterns, and other product features, Stylumia instantly surfaces trending demands against the designer’s ideas. They can view similar products, see where selling levels are highest, and save and share their ideas with colleagues.

For retail merchandisers, the tool improves forecast accuracy for better assortment planning down to the local level. They can see which sizes, colors, and styles are most popular by geography. Subramanian added that the platform is not just for large consumer brands.

“We’re democratizing intelligence for small and midsize companies that can use these insights for their growth too, bringing the right products to the right geographies at the right time,” he said.

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With Data And Analytics, Consumer Products Companies Seize New ‘Moment Of Opportunity’

Since 2015 and the rise of e-commerce hyper scalers,  we have witnessed a fundamental shift in consumer behavior, one that has dramatically accelerated due to the COVID-19 pandemic, according to a Bain & Company. Consumers today are increasingly making buying decisions on the values that they hold dear– health and wellness, sustainability, safety, ethically sourced materials – instead of factors like price and convenience.

As businesses look for new ways to reach, engage and serve consumers, the delivery of timely, tailored and relevant experiences have become key. While this shift represents significant transformation challenges for companies, it also represents an enormous opportunity to drive the next wave of growth in consumer industries.

For over 75 years, industries have organized themselves around the concept of the “two moments of truth” – get a consumer into a store to purchase a product, and influence them to use the product. And hopefully, the cycle repeats. In this linear path to purchase with touchpoints that focused on getting consumers to complete transactions in a store, the retailers, consumer products companies and wholesalers in the value chain had well-defined and complementary roles, and all stakeholders favored economies of scale.

This is no longer the case. Today, companies are reaching consumers directly in “moments of opportunity”, requiring them to have a more holistic understanding of consumer desires. This model favors economies of speed – companies that can spot moments of consumer opportunity and organize themselves the fastest to orchestrate the delivery of experiences and products, will win.

To respond effectively to these behavior shifts, consumer products companies need to differentiate themselves as a ‘category of one’, where their business is so unique that there are no direct competitors, and these companies need to make innovative and data-centric decisions.

One example that illustrates this dramatic shift comes from a Google study.  One participant spent 73 days and made 250 touchpoints (several  blogs, merchant websites, local retailers, product reviews on YouTube) before buying a single pair of jeans. Indicative of today’s consumers, this consumer is engaged with and desires to be inspired by brands through viewing multiple options before making a selection.       

This example demonstrates the changes businesses have to make to succeed going forward. We expect that soon, 50% of consumer products industry growth will occur through a direct business model. Consumer-facing companies will need to build compelling consumer experiences based on:

  1. Consistent master and consumer data across all channels to enable a consistent and meaningful experience
  2.  Full visibility of the entire value network, from sourcing and partner networks to all consumer touchpoints, both physical and virtual, and actual consumption
  3. Live access to, and use of, both structured and unstructured data to assess demand drivers and market dynamics in real time
  4. Scaled, quantitative and qualitative analysis of consumer perception, sentiment and feedback to deliver a unified, personalized user experience

Key Technologies & Innovations

So how can companies transform and adapt quickly to meet these new expectations and needs while reaping benefits in productivity, efficiency, personalization, and profitability. With intelligent technologies that can quickly increase consumer-centricity.

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Cardano Foundation Announces Partnership With Supply Chain Traceability Solution Scantrust

The Cardano foundation has announced a partnership with Scantrust, a supply chain traceability solution, in order to streamline the supply chain management process, as well as optimising security.  

Scantrust is a company that uses QR codes to bring products online, and aims to turn products and packaging into a “direct connection with consumers”. The company provides protection from counterfeiting, supply chain awareness, and consumer engagement, using blockchain technology to secure, track, and create consumer interactivity with a QR code.

Current Scantrust partners include HP Indigo, Hyperledger, and SAP, and the company has worked with Fortune 500 companies and SMEs across 168 countries. 

One of the areas that blockchain technology has revolutionised is the supply chain. Blockchain solutions have allowed companies to trace, track, and empower the producer and consumer. A number of traceability companies have emerged in recent years, covering industries from food, textiles and high-end consumer products. What they share in common is the ability to create true transparency from the start of the supply chain all the way through to the consumer. 

Advancing innovation in blockchain technology has allowed companies to promote their ethical approach to consumer goods, increase transparency, and secure against counterfeiting. Frederik Gregaard, CEO of the Cardano Foundation, commented on the partnership with Scantrust: 

“Empowering trust and transparency across all industries and digital agreements is at the heart of the Cardano Foundation’s missions. I am proud of our Integrations team, who have worked tirelessly with Scantrust to deliver the first solution of its kind to leverage metadata on the Cardano blockchain. Together with Scantrust, we are helping brands to reconnect with their consumers, increase transparency in their supply chain, and fight counterfeit activity.”

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Fashion Tech India: Real-Time AI Data Drives Competitive Retail Advantage

Consumer fashion may be among the most unpredictable markets on the planet, but one startup in India has created an AI-based demand sensing platform that combines the brilliance of data scientists with seasoned industry experts to ferret out trends with uncanny accuracy. The idea is to close the gap between supply and demand.

“We help companies create demand-driven fashion forecasts from consumer data across a holistic value chain,” Ganesh Subramanian, founder and CEO at Stylumia. “Our demand sensing engine collects and analyzes publicly available global data to rank product trends, providing fashion designers, retail buyers, and merchandisers with a much deeper understanding of real-time consumer demand signals.”

More profitable and sustainable business

Forecasting fickle consumer appetites for unseen products has long stymied the most experienced minds in the fashion world. Stylumia can reveal breaking trends, allowing people to make design and merchandising decisions perfectly in synch. This can reduce underbuying and overbuying.

According to Subramanian, the typical Stylumia customer has improved the prediction accuracy of style and color levels by up to 30 percent, and increased sales and revenue between 25 to 50 percent, compared to the performance of products not designed and merchandized using the platform. Customers have also reduced excess inventory and carbon footprint levels by an aggregated average of up to 40 percent.

“When products are selling well, companies have less stock and are able to lower their carbon footprint because they’re using fewer resources, while generating the same amount of revenue,” he said. “Since our founding, we have reduced the number of garments that our customers have produced by over 60 million, while their sales and profits have grown.”

Consumer intelligence research on steroids

From its headquarters in India, to hubs in Australia, the United States, and the UK, Stylumia’s teams work with fashion, sports, and lifestyle brands that represent companies of all sizes worldwide.

Instead of brainstorming solely by intuition, designers and buyers log into their personalized portal to storyboard ideas using Stylumia’s AI-fueled algorithm or their own images for design inspiration. As they select colors, materials, patterns, and other product features, Stylumia instantly surfaces trending demands against the designer’s ideas. They can view similar products, see where selling levels are highest, and save and share their ideas with colleagues.

Read More…

SAP.iO Launches Sustainable Future Accelerator Program with Accenture to Drive Startup and Partner Innovation

SAP.iO kicked off a global sustainability-focused accelerator program alongside Accenture at SAP.iO Foundries Berlin and Munich. The Sustainable Future program aims to help early-stage B2B startups get up and running quickly to enable companies across multiple industries to address sustainability challenges and create a positive impact on both industry and society.

Sustainable Future is the largest SAP.iO cohort to date. Thirteen startups have been selected to work with SAP.iO Foundries Berlin and Munich, in tandem with Accenture experts and leading companies in various industries.

“To address global challenges such as climate change, businesses must partner on all levels and across organizations, industries and regions,” said Daniel Schmid, SAP chief sustainability officer. “Teaming up with Accenture to accelerate early-stage startups is part of our holistic innovation approach to integrate new solutions in our portfolio that help our customers understand and improve their environmental and societal impact.”

Sustainable Future is an equity-free program that seeks to propel digital transformation and corporate-startup innovation in four target areas including carbon tracking and trading, resource efficiency, climate risk tracking and mitigation, and circular economy. The program builds upon SAP and Accenture’s long-standing partnership and shared commitment to using technology to help the world build a more sustainable future.

“Our clients are increasingly turning to technology to enable sustainability agendas across their business and deliver on their purpose-based missions to drive value for their stakeholders,” said Caspar Borggreve, global lead for the Accenture SAP Business Group. “Together with SAP, we are helping startups bring innovation to life with solutions and services that allow companies to raise the bar by integrating sustainability into their core processes, strategies and operating models.”

The startups in this cohort will receive curated mentorship, access to SAP technology and application programming interfaces (APIs), and exposure to SAP and Accenture customers to develop high-impact proofs of concept. The accelerator program will run for three months and conclude with a demo day on July 8, 2021.

The Sustainable Future cohort includes the following startups:

  • Astraea provides an integrated platform to access, analyze and deliver earth-observing data and geospatial information using artificial intelligence (AI).
  • Blacksquared GmbH / Changers.com motivates and rewards employees in a playful manner to participate in healthy and environmentally friendly activities.
  • Breeze Technologies measures and analyzes common pollutants like nitrogen oxides, ozone or particulate matter in real time using machine learning and Big Data technologies.
  • Carbon Minds GmbH has built the largest and most regionalized lifecycle database for the chemical industry to help companies reduce their environmental impact with evidence-based guidance.
  • Circular IQ is a digital platform that monitors the circular performance of different suppliers, products, components and materials throughout supply chains to improve their impact on people and the planet.
  • CodeCheck is a mobile application that promotes source transparency and enables consumers to check the ingredients in food and cosmetics by scanning the barcode.
  • Emitwise helps businesses measure, report and reduce their carbon footprint across their operations and supply chains by automating data collection and processing.
  • Footprint Technologies GmbH enables consumers to accurately measure their feet at home and find the right shoe size, thus avoiding returns, costs and COemissions for online retailers.
  • GreenPlat provides traceability from the extraction of raw materials until the final disposal of generated waste using blockchain technology to create transparency across the supply chain.
  • Journey Foods uses machine learning, AI, data scraping and cohort analysis to recommend the most nutritious and more sustainable ingredients for food companies.
  • Lixo is an AI-powered waste detection system to improve the performance of recycling companies, from waste collection to sorting and recycling.
  • Lizee helps retail brands enact their rental business model and successfully enter the circular economy.
  • Too Good To Go connects consumers to restaurants and stores that have unsold, surplus food to fight food waste.