Retalon

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Retalon has 2 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 2 countries.

Use Cases

2

Industries

1

Countries

2

Hyperscaler mix

See whether Retalon's cases are powered by Microsoft, AWS, GCP, or multiple providers.

Use case portfolio

Use case types at Retalon

Inventory optimization leads with 1 of 2 documented cases; 2 distinct types appear across the visible portfolio.

Evidence persistence

2 of 2 judgeable cases are still publicly referenced · 1 show the organization expanding AI use.

Durability of public evidence, not whether systems remain in production. How this is measured →

Technology snapshot

What Retalon uses across visible cases

3 named technologies are mentioned across 2 cases, led by AI.

Capability mix

No capability flags are attached to these cases yet.

All Use Cases (2)

Microsoft

Retalon Empowers Retailers with AI-Driven Inventory Optimization

Retalon has integrated its AI-powered retail planning and inventory optimization engine with Microsoft Dynamics 365, enabling retailers to automate and optimize inventory, forecasting, pricing, and promotional planning.By leveraging predictive analytics and machine learning within Dynamics 365, retailers now automate replenishment, demand forecasting, and price management, resulting in smarter merchandise and assortment decisions tied tightly to projected demand and business targets.The solution cuts costs by optimizing inventory, enhances productivity with end-to-end automation, and provides analytics-powered recommendations for assortment, pricing, and promotions.Retailers using this solution reported a 35-50% reduction in lost sales due to stockouts, a 9-12% sales revenue uplift above projected growth, and a 25-30% decrease in inventory costs. Productivity gains exceeded 30% via workflow automation.Comprehensive integration with Dynamics 365 ensures retail planners and buyers operate from a single source of truth, aligning supply chain, pricing, and promotions for unified commerce.

RetailGlobal

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