Computer vision is transforming retail stores, but most pilots fail to scale beyond proof of concept. In this Omni Talk Ask An Expert episode, hosts Chris Walton and Anne Mezzenga sit down with Joe Serrano (Global Managing Partner, Retail & CPG at HTEC) and Daniel Horton (VP of Engineering & Delivery at HTEC) to reveal the playbook for successful computer vision deployments.

Learn why 75% of retail AI pilots fail to scale, which use cases deliver the fastest ROI, and how to evaluate your existing infrastructure before investing in new technology. Joe and Dan share hard-earned lessons about everything from camera requirements and network readiness to privacy concerns and customer trust.

Key topics covered:

• Why demo accuracy rarely matches real-world performance

• How to leverage 60-80% of existing cameras with minor augmentation

• The critical difference between customer-facing vs. operational AI deployments

• Smart carts, inventory visibility, shrink control, and shelf availability use cases

• Privacy, GDPR, and building customer trust with in-store AI

• Build vs. buy decisions for computer vision infrastructure

Whether you're piloting your first computer vision project or scaling existing implementations, this conversation provides actionable insights to help you avoid costly mistakes and deliver measurable ROI.

Join HTEC for their January Webinar: Computer Vision in Action: Cutting Shrink, Boosting Efficiency, and Powering Smarter Stores with Edge AI

https://www.brighttalk.com/webcast/21011/656661?utm_source=brighttalk-sharing&utm_medium=web&utm_campaign=linkshare

#RetailTech #ComputerVision #ArtificialIntelligence #RetailInnovation #StoreOperations #RetailAI #OmniChannelRetail #InventoryManagement #RetailTransformation #SmartStores

This podcast uses the following third-party services for analysis:

Podcorn - https://podcorn.com/privacy

Computer Vision Deployment Disasters: Your Playbook On How To Avoid Them | Ask An Expert

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