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Use CaseMarketingConsumer & Retail / Retail general

Automate inventory management for products

Inventory Management - helping company calculate how many units are required where and when. This is precisely the sort of complex, data-rich, prediction-heavy closed loop where AI can potentially excel if the data tracking is accurate - so long as the unexpected does not intervene.

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Operational

Operational - Network optimisation

£

Cost

Cost - Reduced inventory costs

£

Cost

Cost - Reduce wastage

Description

Automate inventory management for products

Linked Case Studies

SteadyServ manages inventory in real-time using a smart draft beer management system which monitors in-store inventory and analyses sales data to predict demand accurately

Otto reduces the rate of product returns by predicting sales for the next three months with 90% accuracy using machine learning to understand consumer preferences

Henkel uplifts its revenue by 2.1% by tracking distribution and share of shelf at granular SKU level leveraging visual recognition and sales data

Granarolo reduces inventory levels by more than 50% and cuts capital and lead time in half using machine learning

Lowes introduced Lowebot, a retail robot, to help customers and scan inventory in real-time to locate product or price discrepancies

DeepMagic offers a fully automated retail pop-up store which uses facial and image recognition to identify customers and determine what they pick up and put down

Levi Strauss & Company

Levi Strauss & Company achieves near 100% accuracy in tracking in-store inventory and identifies optimal product placement using sensors and visual recognition

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Source: kaggle.com · Editor: original-sdg