• The Future of supply chain demand planning and inventory optimization is decision models

S&OP and Inventory Optimization Demand Planning & Inventory Decision Models

Stockouts and on-shelf-availability is a $984 Billion problem globally for consumer goods manufacturers. Ensure the optimal inventory levels at all times and adapt to changing factors in a dynamic market with AI powered replenishment at the store or distribution center level. DeepVu learns from your historical inventory, point of sale, promotions and logistics data augmented with DeepVu's real-time data platform aggregating numerous external micro and macro economic signals to accurately forecast future demand. New actual sales records coming in are used to continuously self-tune and improve the accuracy of DeepVu's model forecast. Furthermore, DeepVu's models can also forecast OTIF score per store per SKU or per Category.

  • Minimize inventory costs while meeting customer demand with Auto-replenishment decision models

  • Increase and maintain accuracy of forecasting

  • Forecast, analyze and improve your OTIF scores

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Learn more about how AI can optimize your supply chain
Advantages of an AI Powered Supply Chain

Real-Time Decision Making

Move faster and save time by always having relevant, real-time intelligence for decision making.

Intelligent Dynamic Insights

Deep learning continuously improves over time and dynamically adapts to your growing business.

Automated Efficiencies

AI automates processes and analytics enabling you to focus on customer satisfaction.

See how DeepVu can maximize your margins

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