Prerequisites for implementing ABM Inventory
Project Implementation
The implementation of ABM Inventory in the Local Discounter network was carried out in three key stages. First, a business audit was conducted, and data was prepared for integration. Next, the system was launched in a pilot phase, during which automatic orders were configured and algorithms were optimized. The final stage involved scaling the solution across all stores in the network, enabling centralized inventory management.
A business audit was conducted to analyze inventory management processes and identify bottlenecks. Simultaneously, data collection and integration were carried out, including sales history, minimum stock levels, and assortment parameters. Based on this data, a technical specification was agreed upon, and a detailed implementation plan was developed.
An API was developed to synchronize ABM Inventory with the UNA accounting system, enabling automatic data exchange between stores and the central office. The system was tested in pilot stores to ensure the accuracy of data and settings.
Training sessions were organized for managers from the central office and stores, focusing on key system features such as automatic order creation and reporting. Training materials and recommendations were provided to support learning.
The system was launched in pilot stores to assess its effectiveness. Processes for managing promotional goods and automating orders for specific categories were set up. Based on client feedback, adjustments were made to the forecasting algorithms.
After a successful pilot launch, the system was rolled out across the entire Local network, consisting of 82 stores. Centralized inventory management, automatic order creation, and forecasting were implemented. Continuous technical support was provided during this phase to address potential issues promptly.
Results of implementation
ABM Inventory
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Centralized inventory management: 82 store managers were replaced by three central office managers for inventory oversight.
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Order automation: ABM Inventory automatically creates forecasts and orders, reducing staff workload.
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Forecasting and analytics: Historical sales data is used to optimize inventory levels.
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Reduction of surplus and shortages: Avoiding “overcompensation” in orders reduced excess inventory.
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Optimization of promotional goods: Improved management of items involved in promotions.
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