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SAP Startup Spotlight: Wisy – e3zine – Independent SAP Community Webzine

New York Tech Editorial Team by New York Tech Editorial Team
November 26, 2021
in Startups & Leaders
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SAP Startup Spotlight: Wisy – e3zine – Independent SAP Community Webzine
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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 Wisy.

Min Chen is the CEO of Wisy, a startup that solves a $1.9T problem in the CPG and retail industry by optimizing operations, reducing out-of-stocks and waste with artificial intelligence. She is an award-winning serial entrepreneur and software engineer with 20 years of experience. In this interview, Min Chen will explain what problem Wisy is trying to solve, what makes her company different, and what’s next for the startup.

E-3 Magazine: What problem is Wisy trying to solve?

Min Chen: Wisy is solving a problem that affects everybody who shops at a store. All of us have had the inconvenience of not finding the product we want to buy, and this problem causes a $1.9T annual loss in the consumer-packaged goods (CPG) industry due to stockouts and waste. While stockouts can happen for several reasons, one of the most common causes is the lack of actionable data at the point-of-sale for CPG and retailer personnel to take timely, correct actions and prevent the problem in the future. Stockouts lead to losses in sales and waste as products are not sold before their expiry date because they are not being restocked on shelves in a timely manner.

Why is this such a difficult problem to solve?

Chen: Imagine a dairy company with over 100 different products sold at thousands of stores or the dairy department in a grocery store with thousands of products to choose from. Keeping track of product rotation, inventory, planogram compliance, assortments, and pricing of every product and every store is a daunting task that is still done manually. Manual retail execution processes rely on the memory and eyeballing capabilities of employees. It is no surprise that error margins are high, data are inaccurate and not actionable. High personnel turnover adds more challenges as new employees take longer to execute the same tasks and could make more mistakes due to their unfamiliarity with the company’s myriad of products.

How is Wisy helping to solve this problem?

Chen: Wisy has developed an artificial-intelligence solution that works in any mobile device to empower field employees to quickly identify retail execution issues and perform corrective actions quickly and consistently. Instead of verifying out-of-stocks manually, employees just have to snap a picture of the shelf and Wisy will identify issues such as out-of-stocks, planogram compliance, unauthorized products, and pricing issues. Employees won’t have to rely on memorizing the hundreds of products and their right quantities for each store to identify issues. Wisy will do that for them in a matter of seconds. It is likely to increase efficiency by at least 25 percent and accuracy to 90 percent, leading to potential combined benefit of 3 to 10 percent of revenue.

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How long does it take to start using the technology?

Chen: Companies can start using Wisy in as little as one month. The first step is to collect pictures of products displayed in the actual stores. Wisy will perform machine learning on those products and stores to enable an artificial-intelligence model for the company using those pictures.

What makes Wisy different?

Chen: Similar computer vision solutions require specialized cameras, robots, or drones. Not only are these more expensive solutions due to their hardware dependency, but they also require a partnership with the retailers who own the real estate and cannot provide CPG field employees with data that they need to take prompt corrective actions at the point of sale. Wisy’s AI was designed for humans. It is a flexible and scalable solution that works on any mobile device, provides faster processing times – returning results in seconds – and has a shorter machine-learning time. It also provides a user-friendly experience with photo and video options that accommodate human preferences and variations when taking pictures. Wisy’s goal is to empower field employees and managers with actionable data to improve operations. It is AI for humans, instead of AI for robots to track humans’ performance.

Why did you start Wisy?

Chen: The CPG industry is one of the most impactful in our quality of life and world sustainability. Their products are present in every household. It is the manufacturing industry that generates the greatest number of jobs, but it is also the industry responsible for most of the waste in the world. We aim to help to create a more sustainable industry by helping CPG companies to evolve from legacy retail to intelligent retail.

What’s next for Wisy?

Chen: To continue to partner with CPG companies to uncover new possibilities and develop user-centric advanced technologies to augment humans with AI for a more intelligent, wise, and sustainable industry.

Thank you for the interview.


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