Badyorui

Badyorui is a Ukrainian grocery retail chain specializing in everyday goods, including food, alcoholic and non-alcoholic beverages. The company is actively scaling and implementing modern digital solutions to boost operational efficiency. As part of its digital transformation, the company implemented two systems — ABM Inventory for automating inventory management and ABM Shelf for launching planogram and merchandising processes.

+4,000

SKUs

139

Stores

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Background

Orders were created manually by over 100 employees, leading to errors and inefficiencies

Stores operated independently, without unified rules for inventory and merchandising

The BAS 1C system did not account for demand anomalies, which reduced the accuracy of analytics

There were no tools for identifying dead stock or evaluating supplier performance

Stock levels were determined without considering actual demand, resulting in both overstock and out-of-stock situations

There was no merchandising process — products were placed randomly on shelves without planograms

Андрій Глушко - результати впровадження ABM Inventory

Before implementing ABM Inventory, we faced serious difficulties due to the lack of centralized order management and tools for in-depth data analysis. Our existing algorithms couldn’t accurately clean sales data from anomalies, promotions, or bulk orders, which led to inefficient inventory management. ABM Inventory enabled us to centralize and automate the ordering process, significantly reducing errors and improving forecasting accuracy. This was an important step forward for the development of our network.

Project Goals

Centralize inventory and order management at the head office level.

Improve stock turnover and reduce losses, particularly by eliminating non-matrix overstock.

Reduce store staff workload by automating ordering and standardizing merchandising processes.

Ensure transparent analytics to evaluate SKU performance, supplier efficiency, and shelf execution.

Implement forecasting algorithms that account for anomalies, promotional periods, and demand spikes.

Deploy tools for identifying dead stock and making data-driven assortment decisions.

Progress of the project

The project started with a comprehensive business audit and process analysis. Both ABM Inventory and ABM Shelf were implemented simultaneously, requiring strong coordination — the same team was responsible for technical setup and subsequent rollout. Therefore, the decision was made to proceed sequentially: Shelf was launched first, followed by Inventory after successful testing and user training.

One notable moment was that, prior to hiring a dedicated planogram specialist, Shelf was managed directly by category managers and even the commercial director, who created planogram layouts and fixture models himself. This helped not only to launch the new process but also to form a team with a deep understanding of the system. After the pilot, both solutions were scaled across the entire network, with continuous technical and consulting support.

Business audit and technical specification

Analyzed current processes, defined system requirements, and identified key automation points.

Data collection and integration

Prepared historical sales, stock, and product data, including minimum stock thresholds.

BAS integration and auto-sync

Implemented bi-directional data exchange between BAS and ABM Inventory; ensured synchronization across all stores.

Pilot testing

Launched ABM Shelf in selected stores with pilot assortment; followed by ABM Inventory testing.

User training and process launch

Trained staff on planogram and ordering workflows; introduced clear store-level instructions.

Network-wide rollout

After a successful pilot, both systems were deployed across all 135 Badyorui stores.

Ongoing technical and consulting support

Support was provided throughout implementation to resolve issues and help staff adapt to the new systems.

Results of ABM Inventory implementation

Badyorui deployed two systems — ABM Inventory and ABM Shelf — and achieved extensive results. This section focuses specifically on the impact of automating inventory management with ABM Inventory.
The effects of ABM Shelf implementation are covered in a separate case study.

+18

year-over-year sales growth (May 2025 vs. May 2024

+14

month-over-month sales growth (May 2025 vs. April 2025)

–4

reduction in lost sales

+10

improvement in stock turnover (from 39 to 34 days)

Average stock levels remained stable despite sales growth

Centralized inventory management: all 135 stores now operate under a unified model managed by a 10-person head office team.
Automated order generation: the system automatically creates forecasts and orders, significantly reducing manual workload.
Merchandising and promo optimization: enabled full control over shelf execution and more effective promotion handling.
Forecasting based on real data: algorithms now account for anomalies, promotional activity, and unexpected demand spikes.
Reduced excess and stockouts: moving away from “safety ordering” helped lower the volume of dead stock.
Stronger decision-making: reporting made it easier to identify SKUs to delist, rotate, or re-merchandise.
Daily use of analytics: category managers rely on reports like “Dead Stock,” “Suppliers,” OTIF, availability & turnover, and LFL.
Full process transparency: easier to track task execution, adjust assortment, analyze shelf layout, and check in-store presence.

Even during the project scaling phase, we’ve already seen significant improvements in automation and process transparency. ABM Inventory helps us increase efficiency and accuracy in inventory management at every level.

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