For ERP & Logistics Systems

Inventory Optimization

Utilize Machine Learning to predict demand and make intelligent recommendations for optimizing inventory

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Make inventory management more accurate and efficient with Inventory Optimization

Forecast demand

Based on historical sales data, the machine learning models accurately forecast demand.

Order correctly

Know how much to order and when to order, to ensure optimal inventory levels.

Real-time scenario testing

Test the impact on inventory levels if variables like lead time, sales numbers, or trends change.

Like having a crystal ball

Empower warehouse and inventory managers with the knowledge to predict the future. Our Inventory Optimization API provides business critical information that makes ordering more accurate.

Clear insights.
Inventory Optimization learns from historical patterns and predicts the future demand, making it easier to control and optimize inventory levels.

Thanks to Resolve's Inventory Optimization service our customers are able to use AI in their replenishment process. Using AI for demand forecasting and purchase order suggestions allows them to cut down on inventory costs and increase their service level at the same time.

Evert Mens
Product Development Director at Visma.net ERP

Avoid stockouts and overstock

AI models are experts in recognizing patterns in vast data sets, and can with high accuracy take many variables into consideration when predicting what the future demand will be, leading to more holistic information to base purchase decisions on and ultimately a more accurate inventory.

Know when to order

One thing is knowing what and how much to order, but when to order is equally important. Our Inventory Optimization API calculates the re-order point based on historical information about lead time, safety stock requirements, trends, inventory classification and more.

Understand trends

Our Inventory Optimization API analyzes fluctuating sales data to spot trends, events, and seasonality and calculates the impact on order quantities. In addition, it's possible to create real-time scenario testing by changing the variables and immediately see the impact on order quantity.

See it in action

Try the Inventory Optimization prototype to get inspiration for how you can build the functionality into your product.

Ready to dive in?
Read the documentation and start today.