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Helping Customers Innovate with More Than 125 AI-Powered Startup Partner Solutions

We are proud to share that SAP.iO has surpassed the 125-mark for AI-powered startup partner solutions in our partner ecosystem. These solutions are fully integrated with SAP and available via SAP Store for immediate adoption by SAP customers. The encompassing solutions range across lines of business and industries, including finance, HR, supply chain, and customer experience.

GenAI-Powered Recruiters Boost Qualified Candidate Pools By 55%

Matching qualified candidates with open positions just became a lot more cost-efficient with GenAI. Sense Talent Labs has developed an AI-powered talent engagement app that reduces cost per hire and gives job seekers that all-important human touch to bond with an organization’s culture.

“We provide intelligent personalized candidate journeys from sourcing and screening through interviews, hiring, and onboarding,” said Alex Rosen, co-founder and head of products at Sense. “Our full lifecycle talent and engagement platform empowers recruiters and candidates with individualized interactions. Organizations can find, hire, and onboard qualified people faster, boosting recruiter productivity and giving candidates a higher quality experience.”

Sense’s customers are from a variety of industries worldwide including retail and hospitality, manufacturing and logistics, healthcare, and technology. Rosen said that on average companies reduce time to hire by 30% and cost per hire by 35%, while increasing the number of qualified applications by 55%.

Surprisingly personalized automation from GenAI chat bot

Embedded in SAP SuccessFactors, Sense AI Copilot sources and pre-qualifies candidates from an organization’s existing applicant database and new applications. The conversational AI chat bot asks important questions based on the job description including someone’s last job title, years of experience in pre-designated responsibilities, and willingness to work certain hours at a particular location. Candidates that pass the first pre-screening are automatically scheduled for interviews with the appropriate hiring managers based on updated calendars.

“The chat bot knows as much as possible about each candidate based on all the touch points that they’ve had with the company, such as jobs they’ve previously applied to and their resume background,” said Rosen. “There are no redundant questions that reflect what someone’s already provided on their application. Without wasting any time, the chat bot asks the candidate for new information, speeding up the entire process.”

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Yellow.ai Named a Leader in Opus Research 2023 Conversational AI Intelliview Report

Yellow.ai, a global leader in Conversational AI, announced it has been named a Leader in the Opus Research 2023 Conversational AI Intelliview Report. The report highlights the strength of Yellow.ai’s product completeness and flexibility, as well as its strategic potential mentioning that it “exceeds criteria and offers demonstrable advantages” in terms of its features, integration, and company vision.

The report evaluates 16 providers based on their core technologies and their competencies to provide long-term support. It assesses their success rates in leveraging natural language processing (NLP), AI, and analytics to support use cases that improve customer experience, employee productivity, and prospects for increased revenue. Opus Research has recognized Yellow.ai for its highly effective combination of machine learning and Natural Language Understanding (NLU) models to improve customer support and employee engagement. It also highlights the company’s generative AI capabilities, coupled with a multi-Large Language Model (LLM) architecture trained on over 12 billion annual conversations, that enable Yellow.ai to provide “human-like personalized interactions in over 135 languages.”

Businesses of all sizes are under increasing pressure to leverage advanced Large Language Models (LLMs) and Generative AI resources,” said Derek Top, Senior Analyst and Research Director with Opus Research. “In our evaluation, Yellow.ai emerged as a surprise leader with innovations in combining machine learning, natural language understanding, and emerging LLM technologies to deliver human-like experiences for superior customer support.”

According to the report, key benefits offered by Yellow.ai to enterprises include:

  • Increased automation: Bots can handle up to 90 percent of routine customer and employee queries to reduce costs
  • Higher CSAT: Personalized, instant, and consistent experiences to boost satisfaction
  • Faster resolution: 24/7 automation with handoffs to humans for complex issues
  • Improved productivity: Bots act as a virtual assistant to employees
  • Reduced costs: Lower operational costs by up to 60 percent by deflecting contacts
  • Faster deployment: Pre-built components and integrations accelerate rollout
  • Better insights: Conversation analytics reveal opportunities to improve CX

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Online Shopping Is Arduous: AI Makes It Easy

While AI isn’t an automatic slam dunk panacea for every business problem, one thing it’s incredibly gifted at is sifting through tons of information to help people quickly find the product of their dreams.

Anyone who’s searched for a product, be it an e-bike, laptop, or washing machine, is all too familiar with choice paralysis from information overload. Imagine instead, landing on a website and conversing with the smartest salesperson in the world available 24/7, who asks the right questions to give you the right product as fast as possible. Meet Zoovu, an AI-powered platform that helps B2C and B2B companies match customers with the exact product they’re looking for.

“Our cloud-based AI product discovery platform helps customers connect to their customers by surfacing the right product,” said Lamees Butt, senior vice president of global alliances and channels at Zoovu. “We remove choice paralysis by simulating the kind of in-store shopping experience that you would get with the most knowledgeable salesperson.”

Butt said that global brands, retailers, and manufacturers realize on average a 200% conversion uplift in customer purchases, and an increase in average cart value by 47%. One power tool company increased customer engagements by an estimated 65% in over 35 global markets.

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Adverity announces Gen AI Integration in Latest Product Strategy

Adverity, the integrated data platform for connecting, managing, and using your data at scale, today announced the rollout of incorporated generative AI tools within the platform as part of its latest product strategy.

Continuing its mission to help marketers and data professionals maximize the value of their data, the platform has announced a host of new upcoming and future AI-assisted features, including:

  • Data Transformation Assistant: Users are able to use the assistant to help with creating data transformations. By inputting the requirements they have, the assistant will automatically create the code for the transformation, as well as provide step-by-step instructions on how to implement the desired outcome.
  • New Connectors on demand: Users can upload details for their API of choice and build new connectors on demand with the help of AI.
  • Natural language Data Analytics: The integration with AI tools such as ChatGPT enables users to ask questions using non-technical everyday language and receive instant answers to their data-based questions, vastly simplifying the data analytics process.
  • Proactive Intelligence: Users will be able to interact with their data, and request digestible summaries within the tables, which can be validated and put into action or used as the basis for further targeted analysis.

By harnessing the power of generative AI, Adverity ensures customers can most effectively manage and use their data at scale. A recent report from McKinsey highlights that GenAI has the potential to generate a value ranging from $2.6 trillion to $4.4 trillion across different sectors.

The benefits for Adverity users will include:

  • Time savings through easy access to vast amounts of data, activated by AI for quick answers to data-based questions.
  • Faster onboarding and better assistance in data transformations for less technical users.
  • Self-Serve connector capability – provides users with infrastructure to easily build their own data connectors.
  • Quicker and faster journey to generate insights on the Adverity platform.

“The impact that generative AI will have on businesses over the next few years is huge. It has already started to revolutionize the way in which people interact with everyday tasks both professionally and personally. Increasing the value for our customers and ensuring that they have the quickest and easiest way to generate the insights they need, has always been a number one priority for Adverity, comments Martin Brunthaler, Co-founder and CTO of Adverity.

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Paradox Named to Third Consecutive Inc. 5000 List — Growing by More than 720% Since 2020

Paradox, the conversational recruiting software helping companies like Unilever, Nestlé, Pfizer, and General Motors automate recruiting work to make the hiring process more efficient, was named to the Inc. 5000 for the third consecutive year — achieving the honor with a 720% three-year growth rate, highest among recruiting technology companies. The list, published annually by Inc. Magazine, recognizes the fastest-growing private companies in the United States and celebrates their outstanding achievements in business development and innovation.

Paradox debuted on the Inc. 5000 list in 2021 and was also recognized on the Deloitte Fast 500 list in 2022 and 2023. While those achievements celebrate the company’s growth, Paradox founder and CEO Aaron Matos said they’re simply the result of focusing on something far more important.

“Recognition like this is nice, but we’ve always benchmarked our success by a simpler metric: Our client’s success, specifically, our ability to solve real, meaningful problems for them in transformative ways,” said Matos. “This company has come so far from the early days of a dream and an idea — that Conversational AI and automation could change enterprise software — and we still have a long way to go to reach that vision. But, I’m so proud of the team we’ve built and the clients we have the opportunity to partner with every single day.”

First launched in 2016, Paradox’s conversational software is underpinned by a smart AI assistant that acts as a concierge throughout the hiring process — automating time-stealers and points of friction to create world-class experiences that drive higher candidate conversion and dramatically improve recruiter and hiring manager efficiency.

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Conversational AI in Recruitment

hrtech, the Singapore-headquartered HR Technology Analyst firm, recently announced the launch of an HR Guide titled Conversational AI in Recruitment” to address the need for automation that simplifies and streamlines the candidate experience, while saving hours of repetitive work for recruiters every day. The guide was produced in partnership with Paradox, the conversational hiring platform helping global employers like Unilever, Nestle, McDonald’s, and General Motors transform hiring with mobile-first automation.

The idea behind the HR guide stems from the fact that there has been a drastic change in the way organizations and employees approach business processes. Digital transformation has been the topmost priority for organizations wanting to enhance business proficiency and candidate experience. Today, candidates want a consumer-grade experience at their workplace and expect the hire-to-retire journey to be digitally seamless and efficient. Candidates also expect multi-channel accessibility to connect with recruiters — and instant access to information throughout the hiring process. This is where Conversational AI proves to be a great aid for recruiters.

The HR guide intelligently brings rest to all the myths surrounding Conversational AI and maps out the differences between traditional recruitment techniques and Conversational AI-led recruitment. To harness the full potential of Conversational AI, the HR guide validates that organizations can integrate this technology into their recruitment tech stack, including Applicant Tracking System (ATS), job boards, CRM, assessments, recruitment marketing tools, and more.

The HR guide brings to light the success stories of global organizations that have deployed Conversational AI to enhance their recruitment function. The detailed case studies about the United Overseas Bank Limited (UOB), McDonald’s, and a non-profit healthcare organization will help you understand how Paradox helped them improve their recruitment function and enhance the candidate experience using Conversational AI.

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Impress.Ai Unveils ImpressGenie, A Generative AI-Based Workflow Builder

 impress.ai, a leader in enterprise recruitment software solutions, announced the roll-out of their innovative product impressGenie – a generative AI driven bespoke recruitment workflow builder. Recruiters can easily design role-specific recruitment workflows using simple natural language user-friendly prompts with this tool.

impressGenie’s capabilities include:

  • Mass Customization: Builds bespoke, role-specific recruitment automation workflows with precision
  • Job Description Parsing: Identifying and integrating relevant screening criteria, including keywords, into the workflow based on the job description
  • Competency Assessment: Recommending relevant assessment questions or third-party assessment tests

With impressGenie, recruiters can now efficiently customize recruitment automation workflows at a large scale, generating distinct workflows for each role, rather than relying on a one-size-fits-all approach. This mass-customization capability radically transforms the recruitment process, accommodating the unique requirements of thousands of roles.

When a new role opens, recruiters can provide basic prompts about the role to impressGenie, which will then generate a custom workflow. This workflow manages role-specific candidate information collection, screening, interview scheduling, and onboarding. Recruiters have the flexibility to decide which parts to automate and which to retain a human touch, ensuring a perfect blend of efficiency and personalization. impressGenie seamlessly integrates with all major Applicant Tracking Systems (ATSs), including SAP SuccessFactors, Workday, and Oracle Recruiting Cloud.

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Inspiring Innovators: Paula Paw Co-CEO of VersaFleet, On Being Tenacious

At SAP.iO, we work with innovative people and new technologies that positively impact our world every day, and we think it’s time to share their stories with you! In our series, “Inspiring Innovators,” we get to hear how founders, CEOs, and presidents of cutting-edge startup technologies overcame, thrived, and pursued their goals. SAP.iO’s Alexa Gorman sat down to discuss the road to success and lessons learned with some of our most inspiring startup founders.

Meet Paula Paw

Just four days after submitting her last exam paper, Paula Paw was offered a job at VersaFleet. Paula joined VersaFleet as a pioneering team member and played a central role in its growth journey. Graduating from the National University of Singapore with a Bachelor of Arts and Social Sciences, she started her career at VersaFleet in Sales and Marketing. Over the course of 6 years, she was promoted to Senior Sales Executive, Regional Sales Manager, Head of Sales Strategy & Operations Planning, and now leads the company as Co-Chief Executive Officer.

VersaFleet is a transport management software that optimizes route plans and fully digitalizes supply chains, all the way to the last mile. At VersaFleet, Paula now focuses on accelerating VersaFleet’s growth and synchronizing essential company functions, from sales & marketing, product design, and engineering, to finance and people operations. The company’s mission is to provide technology for all transporters — in any industry, market, or country. They built VersaFleet in hopes that the technology would enable the unsung heroes of logistics to get home in time for dinner.

“The goal for the coming years is to establish a stronger market presence so that we can serve the brands that face difficult challenges. When we help them, it will have a trickle-down effect, and the drivers will ultimately benefit; we are hoping to create a better work-life balance.”

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Inspiring Innovators: Dustin Feld Co-Founder & Managing Director of adiutaByte on turning science into solutions

At SAP.iO, we work with innovative people and new technologies that positively impact our world every day, and we think it’s time to share their stories with you! In our series, “Inspiring Innovators,” we get to hear how founders, CEOs, presidents of cutting-edge startup technologies overcame, thrived, and pursued their goals. SAP.iO’s Alexa Gorman sat down to discuss the road to success and lessons learned with some of our most inspiring startup founders.

Meet Dustin Feld

When he was a child, Dustin Feld loved computers. He started programing before he learned another language, using his family’s old computer. “I can honestly say I wanted to grow up to be what I am today,” Dustin said, reflecting on what he thought he would be when he grew up.

Dustin studied mathematics and computer science at the University of Cologne, specializing in graph theory and layout, discrete mathematics, and numerics. Calling himself a “professional nerd,” Dustin focuses on efficient implementation and development of algorithms — especially mathematical optimization algorithms — in time-critical scenarios. He spent 10 years as a research assistant at Fraunhofer Institute for Algorithms and Scientific Computing, then a Ph.D. student, and finally as a Post-Doc & Senior Scientist. This path set Dustin up perfectly to take on the role of algorithm lead and managing director of adiutaByte.

At adiutaByte he is responsible for the algorithmic backends and the algorithm design architecture. adiutaByte develops optimization algorithms for tour and personnel planning, digitizing processes, and reducing planning time and costs. The platform combines the best of both worlds: specialized human knowledge with algorithmic strength in mathematical optimization. A notable adiutaByte customer is the City of Berlin, which uses the technology for waste disposal and recycling, relying on adiutaByte for their optimization and powerful AI.

“We saw this crisis in the healthcare industry and knew our solution was really unique, patented worldwide, and has something special that can help in high tech areas like CPU manufacturing and here in the healthcare sector. And that’s how we started, with four founders, in one office, and with no clients, but with this inspiring core technology.”

Read more and watch highlights of Dustin and Alexa’s discussion here.

 

Inspiring Innovators: Rashi Gupta Co-Founder and Chief Data Scientist Rezo.ai, On Wearing Multiple Hats

At SAP.iO, we work with innovative people and new technologies that positively impact our world every day, and we think it’s time to share their stories with you! In our series, “Inspiring Innovators,” we get to hear how founders, CEOs, presidents of cutting-edge startup technologies overcame, thrived, and pursued their goals. SAP.iO’s Alexa Gorman sat down to discuss the road to success and lessons learned with some of our most inspiring startup founders.

Meet Rashi Gupta

Earning her PhD from the University of Helsinki for data science, Rashi Gupta’s experience equips her for her role as an entrepreneur. Co-Founder and Chief Data Scientist at Rezo.ai, she finds herself taking on multiple functions. Rashi focuses on data science, but she also plays a significant role in sales as the product is very analytical and she thrives on pitching the product. If that’s not all, she currently assists with deliveries, among other tasks. She embodies the idea that you have to wear multiple hats on your journey to entrepreneurial success as a founder. In doing so, she is well on her way to becoming a disruptor in the contact center industry.

Rezo’s AI-Powered Contact Center augments human agents by automating repetitive processes, allowing them to focus on high-value tasks and enhancing customer experience. Rashi founded Rezo.ai with her husband, Manish Gupta, who she says challenges her every day, “he has pushed me beyond what I thought I was capable of, he always encourages me to make the next right move. You need someone to push you, and that helped us get to the next level.” Rashi credits that support and their teamwork at Rezo as part of the reason for their success.

“I was working with a large contact center, and I saw how things happened on the floor. With limited information about the end customers, the callers use to drive conversations taking time while details are checked on multiple 3rd party systems. This led to delay and frustration at the customers end, there was a clear need for process automation. That’s when I realized it was time to elevate the customer experience to the next level.”

Read more and watch highlights of Rashi and Alexa’s discussion here.

 

SAP.iO Launches Resilient Supply Chain Startup Program in Collaboration with Accenture

April 06, 2022 SAP SE (NYSE: SAP) has launched a virtual startup program focused on building a resilient supply chain at the SAP.iO Foundries Munich and Tel Aviv. A jury of experts from SAP and Accenture, alongside SAP partners and SAP customers including Siemens, Porsche Digital selected 12 startups from four supply chain domains to join the program.

The program builds upon SAP and Accenture’s long-standing partnership and shared commitment to using technology to help the world build a more resilient Supply Chain. 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.

Supply chain operations often represent the greatest area for risk and loss in many companies. By their nature, supply chains are globally dispersed and complex in their functionality. This makes them especially vulnerable to risk. Resilient supply chain technologies reduce risk by allowing visibility into all operations across the network – and empowering businesses to optimize and adapt their processes and logistics in real-time.

To address these challenges in the world’s supply chains, SAP.iO Foundries Munich and Tel Aviv joined forces and introduced the “Resilient Supply Chain” program. The cohort is the largest to date. The startups will work with the Foundries as well as leading companies from various fields on integration and partnership with SAP.

According to Jan Gilg, President and Chief Product Officer SAP S/4HANA, “A resilient supply chain, with risk strategies in place, predicts, responds and recovers from unanticipated events by either returning to its original state or morphing into a state that is even better at profitably meeting customers’ needs. It is about using the right tools to make the right business decisions, even under pressure.”

Over the next 14 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. Their work includes creating new partnerships and value propositions that help solve key supply chain challenges.

The following startups are participating in the program:

Business Planning & Resiliency

Transportation Management

  • MIXMOVE AS – Pushing the boundaries of performance, efficiency and sustainability in logistics.
  • Portcast – Real-time predictive visibility and demand forecasting

Warehousing and fulfillment

  • CognitOps Inc.  – Automate your warehouse management
  • Logidot – Optimize your industrial logistics and production with real-time tracking
  • Magazino GmbH – builds and develops intelligent, mobile robots that automate material supply in production logistics.
  • Picavi GmbH – Pick-by-Vision for cost reduction in your warehouse
  • Verity –  Information and insights when and where you need them–powered by self-flying drones

Last-Mile Delivery

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/.

SAP.iO Foundry Berlin Kicks-Off Data & Analytics Spring Program with 5 Innovative Startups

March 18, 2022 SAP SE (NYSE: SAP) launched a data and analytics-focused virtual startup program at SAP.iO Foundry Berlin. The five selected international startups were chosen by a jury of SAP experts, partners, customers, and investment funds to join the program.

The SAP.iO Foundry Berlin Data & Analytics Spring Program dedicates itself to helping the growing need of SAP customers to get the best insights from their data. The selected startups have keen insight and expertise in data harmonization, business analytics, machine learning, and data-as-a-service – all skills that  can help achieve that goal.

“Analytics is essential but not sufficient to drive business outcomes. Yes, you can get more insights with Analytics, but the more crucial question is what you do with that information. Unless you embed these insights into your business processes and turn them into clear actions, they are just another report. For our customers, new innovative solutions are in high demand while tech talent is in short supply. These two challenges create big opportunities for startups that can take on more innovation risk as well as attract young development talent, much faster than large corporations can” said Ivo Bauermann, Senior Vice President Business Development.

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.

“Making sense of data to achieve business outcomes is getting harder and harder due to the lack of data integration. Startups can help with integrating the novel use cases for their developed applications with the traditional business processes of the costumer” said Anil Goel, Head of Technology Office.

The following startups are participating in the SAP.iO Foundry data & analytics program:

  • DABBEL offers its customers an autonomous control system for commercial buildings which is based on predictive Artificial Intelligence (AI).
  • Everyangle provides productized computer vision applications to analyze CCTV video in real time to provide high value business outcomes to protect staff, reduce fraud, reduce operational cost, and increase revenues.
  • InOrbit is the leader in RobOps at scale. They help robotics companies and enterprises across industries get the most out of autonomous robots.
  • MindBridge screens every transaction to highlight and quantify the size of the issue or problem, identifying potentially uncontrolled risks in your processes and systems.
  • QVALON is a cloud solution for retail chains operational processes management, which uses mobile application and integrations to digitalize offline data from the stores and then transform it into actions for responsible employees.

 

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/.

How VNTANA Is Helping Save Retail With Augmented Reality

In mere months, COVID-19 propelled us five years into the future when it comes to digital adoption, according to global consulting firm McKinsey.

You can see this playing out across industries. Restaurants are improving online ordering and delivery capabilities. Telehealth is increasingly available for patients who need it. Online learning has become a mandatory option for students of all ages. On and on and on.

“Digital trends were already picking up steam,” said Ashley Crowder, CEO and cofounder of VNTANA. “But COVID-19 has brought everything to the fore now. What used to be a nice-to-have is now a must-have.”

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SAP Startup Spotlight: ARpalus

SAP invests in a lot of promising startups, and it’s sometimes hard to keep track of all of them. E-3 Magazine has selected the most interesting companies to showcase in our SAP Startup Spotlight Series. In this article, we will take a look at ARpalus.

E-3 Magazine talked to ARpalus about what its solution has to offer, how it relates to existing SAP systems, and what’s next for the company.

What exactly does ARpalus offer?

ARpalus helps CPG companies and retailers optimize their in-store operations and product availability using real-time computer-vision on tablets and smartphones to monitor store availability issues such as missing products or out of stock planogram compliance. Let’s assume, for example, that a retail chain with 200 stores generates annual revenue of US$5 billion, and at any given time, there is a 5 percent out of stock (OoS). If this chain’s assortment is 40,000 SKUs, 5 percent means 2,000 SKUs that are constantly missing from the shelves. Let’s assume that this OoS problem leads to a 2 percent loss of sale; this translates to a huge loss of US$100M in potential revenues. At ARpalus, we believe that the unique combination of computer vision and augmented reality is key to a more efficient and automated retail space. Perfect retail execution eliminates manual or semi-manual methods that are commonly used today among CPGs and retailers. At first, we help our customers get visibility regarding the daily stores’ operations by the granularity of a shelf, category, SKU, store, or geographical location. This helps us better understand the trends inside the organization and to then generate recommendations. In a later stage, we generate recommendations directly to employees’ devices, based on data from nearby stores – all in real time.

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