Inference Labs

 In the fast-paced world of retail, one thing stands paramount: ensuring products are readily available to meet customer demand. The frustration of walking into a store only to find empty shelves can quickly turn a potential sale into a missed opportunity. With the advent of advanced technology, particularly Computer Vision, the landscape of retail is undergoing a transformative shift towards ensuring on-shelf availability like never before. The Imperative of On-Shelf Availability Imagine stepping into your favorite store, eager to purchase your go-to products, only to find them absent from the shelves. Such experiences not only disappoint customers but also jeopardize potential revenue streams for retailers. Studies have shown that a significant percentage of shoppers opt for alternatives or even abandon their purchases altogether when faced with out-of-stock situations. Introducing Smart Shelf-Monitoring In response to the pressing need for real-time inventory management, Smart Shelf

 In today's fast-paced world, customer experience (CX) is paramount to business success. Long queues and waiting times can significantly impact customer satisfaction, leading to frustration and potentially loss of business. Fortunately, advancements in technology offer innovative solutions to address this challenge, and computer vision (CV) emerges as a powerful tool for predicting queue times and enhancing  customer experience . Understanding the Problem: The Impact of Queues Customers value their time, and long queues can create negative perceptions. Studies have shown that: 60% of customers abandon their purchases due to long wait times. ([Source: https://www.investopedia.com/terms/q/queuing-theory.asp ]) 73% of customers say that valuing their time is a key aspect of good customer service. ([Source: https://qtrac.com/blog/how-a-queue-management-system-helps-your-small-business-stand-out/ ]) These statistics highlight the detrimental effect of long queues on customer satisf