Future Commerce · with Hugh Holman · October 11, 2019 · 45 min
Summary
This episode reveals how environmental data and AI drive retail planning and forecasting by optimizing the supply chain. Hugh Holman, CEO of Observa, explains how his company uses on-demand workforces, machine learning, and computer vision to empower retailers with real-time, in-store data. This allows for precise order planning, manufacturing adjustments, and demand forecasting, ultimately enhancing the omnichannel customer experience.
Key takeaways
Implement real-time retail audit systems to gain immediate visibility into store-level execution and compliance, moving beyond outdated four-week data lags.
Utilize AI and computer vision for image recognition to automatically verify product placement, promotions, and planogram adherence, identifying deviations for swift corrective action.
Leverage precise, real-time inventory data to eliminate "phantom inventory," optimize stock levels, and make informed decisions for both e-commerce and brick-and-mortar operations.
Partner with data providers specializing in in-store environmental data to bridge the gap between online analytics and physical retail insights, enabling a true omnichannel strategy.
Explore how real-time, image-based product recognition can facilitate emerging retail technologies like checkout-less payment systems, improving accuracy beyond traditional barcode scanning.
If you thought a deep-dive on supply chain couldn't be stimulating, think again. Hugh Holman, CEO at Observa, gives us a primer on what it takes to implement retail planning and forecasting. Observa is building retail compliance systems powered by AI, on-demand workforces, machine learning and machine vision - not just to enforce compliance, but to arm retailers with data to plan orders, manufacturing, demand planning. Listen now!
What does this episode say about supply chain & operations?
Implement real-time retail audit systems to gain immediate visibility into store-level execution and compliance, moving beyond outdated four-week data lags.
What does this episode say about retail & omnichannel?
Utilize AI and computer vision for image recognition to automatically verify product placement, promotions, and planogram adherence, identifying deviations for swift corrective action.
What does this episode say about ai & automation?
Leverage precise, real-time inventory data to eliminate "phantom inventory," optimize stock levels, and make informed decisions for both e-commerce and brick-and-mortar operations.
What does this episode say about analytics & attribution?
Partner with data providers specializing in in-store environmental data to bridge the gap between online analytics and physical retail insights, enabling a true omnichannel strategy.
What does this episode say about supply chain & operations?
Explore how real-time, image-based product recognition can facilitate emerging retail technologies like checkout-less payment systems, improving accuracy beyond traditional barcode scanning.
