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Overview
AGR provides clear, easy-to-read inventory dashboards that enhance operational visibility. While some reports may initially seem complex, the platform improves forecasting accuracy, helps reduce overstock, and prevents stockouts by optimizing inventory levels across multiple locations for more efficient stock management.
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Starting Price
Custom
AGR Specifications
Reporting and Analytics
Sales Forecasting
Document Management
Customizable Dashboards
What Is AGR?
AGR is a cloud-based inventory management software designed for wholesalers, retailers, and manufacturers. It provides demand forecasting, inventory optimization, automated ordering, and operational insights. The platform extracts Enterprise Resource Planning (ERP) data to generate accurate forecasts, automates stock replenishment, and consolidates inventory information for real-time visibility. AGR reduces manual tasks, enhances accuracy, and helps maintain optimal stock levels across multiple locations. Its tools support businesses in responding to seasonal demand shifts and global supply chain disruptions.
AGR Pricing
Disclaimer: The pricing is subject to change.
AGR Integrations
The platform integrates several third-party ERP systems, including:
- Microsoft Dynamics NAV
- SAP
- Visma.net
- Jeeves
- Sage ERP
Who Is AGR For?
AGR is well-suited for a wide range of industries and sectors, which may include:
- Retail
- Wholesale
- Manufacturing
- Distribution
- Consumer goods
Is AGR Right For You?
Businesses managing large inventories across multiple locations often face stockouts, overstocks, and forecasting errors. AGR suits wholesalers, retailers, and manufacturers by providing demand forecasting, automated replenishment, and inventory optimization. It’s typically used in seasonal demand planning, multi-site stock management, and ERP integration for real-time visibility.
Still not sure about AGR? Contact our support team at (661) 384-7070 for further guidance.
AGR Features
AGR uses sales and ERP data to calculate optimal stock levels for items across locations. It ranks products by value, applies statistical models, and adjusts safety stock to reduce excess and prevent stockouts. This helps businesses balance inventory investments with actual demand.
The platform applies historical sales data to statistical forecasting models. It accounts for seasonal trends and customer demand patterns to generate forecasts. Users can plan stock replenishment and adjust orders based on predicted needs rather than manual estimates.
The system analyses inventory positions, lead times, and service goals to propose purchase orders. It generates order recommendations aligned with business constraints. Users review and approve these orders before sending them directly to their ERP.
