Normalized claim
Revenue: 50% decrease
Reduced lost sales by up to 50%
Retalon Empowers Retailers with AI-Driven Inventory Optimization
Use case typeInventory optimizationUpdated Jun 13, 2026
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.
Reported outcomes
−50%
revenueRevenue & growth
9-12%revenue−30%cost30%productivity
Strategic outcomes
New product / capabilityAutomated inventory and demand planningBetter decisions & insightImproved merchandising and assortment decisionsCustomer experience & trustReduced stockouts and lost salesSpeed & agilityEnd-to-end planning automation
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Revenue: 9-12% increase
Achieved 9-12% increase in sales revenue above projected growth
Normalized claim
Cost: 30% decrease
Lowered inventory costs by up to 30%
Normalized claim
Productivity: 30%
Delivered 30%+ productivity gains with automation and analytics
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Retalon
- Provider
- Microsoft
- Maturity
- Unknown
- Linked source
- retalon.com
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 3
- 1Retail Inventory Optimization with Predictive AI
- 2Automated Assortment and Pricing Planning
- 3AI-Powered Demand Forecasting for Retailers
- Inaccurate demand forecasting driving lost sales and overstock
- Manual, error-prone inventory and merchandise planning processes
- Inefficient pricing and promotion decisions leading to costly markdowns
- Siloed analytics and disconnected planning in retail operations
- Embedded Retalon AI engine with Dynamics 365 to automate demand forecasting and replenishment
- Predictive analytics optimizing inventory, pricing, and promotions
- Unified planning platform tied to supply chain, store, and assortment management
Technologies
- Reduced lost sales by up to 50%
- Achieved 9-12% increase in sales revenue above projected growth
- Lowered inventory costs by up to 30%
- Delivered 30%+ productivity gains with automation and analytics
Sources & evidence1
Evidence: Low35/100Evidence strength
- Customer explicitly identified
- Quantified outcome available
- Technical implementation details available
ExpandedExpanded
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2025.
Measures whether this deployment's public evidence persists — not whether the system is still in production.
Published: May 4, 2023Publisher: retalon.com
AI-generated summary. Verify important details with the linked sources before relying on this case.
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