Optimize shelf inventory replenishment process and avoid stock outs with Affine’s Automated Real Time Shelf Inventory Management Solution Powered by Azure ML & Cognitive Services 6-week PoC
Affine’s 6-week PoC consulting offer will provide Retail customers with a real-time shelf inventory monitoring solution using a CCTV camera video feed, powered by Azure ML and cognitive services. This solution will enable retailers to track their inventory in real-time, ensuring accurate and up-to-date records at all times, and enabling store operations staff to manage the inventory levels and avoid stockouts.
Affine’s automated real-time shelf inventory management solution powered by Azure Machine Learning (ML) and Cognitive Services uses advanced machine learning algorithms to monitor shelf inventory levels in real-time, using computer vision to analyze video frames from the CCTV camera feed. This allows retailers to automatically generate replenishment orders when inventory levels are low, ensuring that products are always in stock and available to customers.
Agenda – 6 weeks:
Solution output integrates with a web tool that allows users to view the CCTV video feeds and see the results of the machine learning analysis in real-time. This could involve displaying the detected items on the shelves, along with information about their quantities and any changes seen over time. We will also provide a report summarizing the results of the proof of concept, including any challenges or limitations encountered during the project. This report could also include recommendations for the next steps and potential improvements to the system.
Enabling business-focused data science, AI, and BI development with deep domain expertise. Affine believes in faster design to faster deployment through key differentiators- Experimentation Focus and Speed to Value.