ComeBy utilizes AI to comprehensively understand shopper behavior. We achieve this by employing mobile device trackers and cameras to monitor in-store and nearby foot traffic. Our goal is to simplify product discovery for shoppers, providing a personalized and relevant browsing experience. Shoppers can easily access product specifications and guides by scanning product barcodes or QR codes with our Digital Shopping Assistant via a web app, eliminating the need for downloads. We also offer checkout flexibility, enabling in-store or online purchases. Shoppers can even bypass queues by using RFID tags for self-checkout if preferred. Through the collection of various interaction data points, we empower store managers with real-time insights into floor activity, shopper notifications, and staff performance. Meanwhile, upper management gains a comprehensive view of their store's sales funnel, enriched with descriptive insights into shopper patterns. This wealth of information equips decision-makers to make confident and profitable choices across multiple stores.
| Website | https://comeby.io/ |
| Employees | 6 (4 on RocketReach) |
| Founded | 2022 |
| Industry | IT Services and IT Consulting |
| Keywords | In Store Analytics, Consumer Behavior Insights, Ai For Retail, Shopping Behavior Analysis, Mobile Device Tracking, Customer Journey Mapping, Data-Driven Retail, Retail Analytics Platform, Location Analytics, Retail Technology, Predictive Retail Analytics, Customer Analytics, Spatial Analytics |
| Competitors | BlaBlaCar, Datasphere Corporation, Liftango, carpooling.com GmbH, Zimride, The Rideshare Company, CivicSmart, Inc., Waze, SHARE NOW Danmark, Trove (Media and Information Services B2B) +19 more (view full list) |
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Nor Abdullah is the Operations Executive of ComeBy.
4 people are employed at ComeBy.