Retail & Consumer Products

AI and deep learning bring retail companies momentous insights on customers and profound new ways to support improved customer experience. AI can bring ease of personalization, enhanced logistics and more sustainable manufacturing processes optimized for less waste. The potential of AI to improve processes from the supply chain to the storefront drives efficiencies and speed, critical to keeping retail companies competitive.

AI in Retail

Sentiment analysis, emotion detection, visual search, personalization and recommendations are all use cases where deep learning can add huge amounts of value. Intelligent task automation, support for demand forecasting and better resource allocation are other areas where AI and deep learning can impact operating models for retailers. These use cases can make retailers more efficient, resilient and better able to serve customers.

Case Studies

Coin Grading
Create new value chains for customers using AI.
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Coin Process Automation
Decrease the amount of time it takes to process coins with computer vision.
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Counterfeit Detection
Realize lower costs by detecting counterfeits earlier in your workflow using computer vision.
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