Dynamics 365 Supply Chain Management for inventory optimization and automated replenishment

35% Reduction in Excess Inventory with Dynamics 365 Supply Chain Management

AI-Powered Demand Forecasting | Automated Replenishment | Multi-Location Inventory Visibility

At a Glance

IndustrySupply & Distribution
ServicesDynamics 365 Supply Chain Management, Inventory Optimization, Demand Forecasting, Automated Replenishment
ChallengeExcess inventory across three locations caused by fragmented demand visibility and inefficient restocking decisions.
SolutionImplemented Dynamics 365 Supply Chain Management with AI-powered demand prediction and automated restocking to improve inventory planning across locations.
Key ResultReduced excess inventory by 35% within two quarters.

About the Client

The client is a moderately sized supplier managing inventory across three different locations. Its distributed inventory operations required better visibility into demand and a more coordinated approach to replenishment.

The Challenge

The client was maintaining surplus inventory across three locations without a consolidated view of demand.

This created several inventory management challenges:

  • Excess Stock Across Locations: Inventory levels were higher than required because purchasing and replenishment were not aligned with actual demand.
  • Fragmented Demand Visibility: Teams lacked a consolidated view of demand across all three locations.
  • Manual Restocking Decisions: Replenishment decisions required a more automated and demand-driven approach.
  • Inventory Imbalance: Without centralized planning, it was difficult to maintain appropriate stock levels across locations.

The client needed a system that could improve demand visibility and make replenishment decisions more responsive to actual inventory requirements.

The Solution

Aegis Softtech implemented Microsoft Dynamics 365 Supply Chain Management to centralize inventory planning and introduce AI-assisted demand forecasting and automated replenishment.

As part of the broader Dynamics ERP ecosystem, the solution helped connect supply chain processes with more structured inventory and operational planning.

AI-Powered Demand Prediction

Demand prediction capabilities were used to provide better visibility into expected inventory requirements.

This allowed inventory planning to move from fragmented decision-making toward a more data-driven approach based on anticipated demand.

Automated Restocking

Automated restocking was introduced to improve replenishment decisions across the three locations.

Instead of maintaining surplus stock as a precaution, inventory could be replenished according to demand requirements.

Consolidated Multi-Location Inventory Planning

Dynamics 365 Supply Chain Management provided a more unified approach to managing inventory across all three locations.

This helped the client coordinate demand, stock availability, and replenishment rather than managing each location with limited visibility into overall requirements.

For organizations looking to connect operational data with customer-facing processes, Dynamics 365 CRM can further support connected sales, customer, and business data across the Dynamics 365 ecosystem.

The Results

The implementation delivered a measurable improvement in inventory efficiency within two quarters.

Technology Stack

  • Automated Replenishment
  • Demand Forecasting
  • Multi-Location Inventory Planning

Need to Reduce Excess Inventory with Dynamics 365?

Aegis Softtech helps suppliers and distribution businesses improve demand planning, automate replenishment, and optimize inventory with Microsoft Dynamics 365 Supply Chain Management.

Talk to a Dynamics 365 SCM Specialist

*Client identity is confidential.