Case NOVUS

Improving Operational Efficiency through AI-Driven Forecasting and Replenishment

One of the largest supermarket chains in Eastern Europe, ranking among the top 10 retailers in its market. It has acquired the local segment of the BILLA supermarket chain, strengthening its position within the industry.

Supermarkets

  • 10%

    sales increase

  • 11%

    stock reduction

Improving Operational Efficiency through AI-Driven Forecasting and Replenishment

The Novus supermarket chain is one of the TOP 10 retailers in the Eastern Europe market. The Novus retail chain promotes an agenda of fresh, healthy and delicious products. The chain offers over 40,000 items of various product categories (from food and beverages to clothing and garden tools) and a wide range of exclusive products. There are also products imported especially for this sales chain. Novus stores offer a good selection of organic, environmentally friendly, and diet-friendly products. When the project started, Novus had 32 supermarkets and currently they operate more than 107 stores.

The Novus supermarket chain has an up-to-date management system. The company is committed to improving current processes and constant analysis and has a special project management department whose task is to re-engineer those processes that can significantly affect the company's efficiency.

Due to an increase in the number of chain stores and its own DC construction, inventory management became increasingly less effective and everyone understood that minor improvements could not fix the situation.

The Novus project management department was tasked with selecting and implementing a modern inventory management system and optimally building all related business processes.

Challenges Novus faced before the implementation

When searching for and choosing a solution provider, the main requirements were:

  • availability of consulting expertise in optimizing inventory management business processes;
  • willingness to quickly achieve actual results in a pilot store;
  • low initial investment in the project.

Novus ultimately opted for the LEAFIO Inventory Optimization system. Novus liked the functionality and interface of the system, as well as the implementation methodology and the experience of the consultants, and also the results of system implementations by other clients.

Process of implementation

For the pilot project, two stores were selected that were as similar as possible in terms of size, assortment, customer traffic, and sales rates.

One of the stores continued working according to the old processes, but the second one was managed by the LEAFIO Inventory Optimization system.

Implementation results

The pilot project took 12 weeks and showed the following results:

  • 21% average stock reduction;
  • 48% overstock reduction;
  • 11% lost sales decrease.

The same effect of a systemic reduction in overstocks and lost sales was observed with further scaling of the system to all stores in the chain.

AI-powered solution for building an efficient system of inventory management

AI-powered solution for building an efficient system of inventory management

After successfully proving the pilot project results, the company's management began scaling to the entire chain, which took another 5 months.

As a result of the project implementation, the generation of orders for all stores and distribution centres was completely centralized. Before the project, orders for stores were generated by merchandisers in stores, and a department of 5 people in the central office dealt with orders for DCs. After the implementation of the system, the same 5 people manage the entire chain inventory, including stores. At the same time, they can devote more time to analytics and work with suppliers more than before, when all orders are reviewed and sent manually.

Due to centralization, the number of human errors and incorrect orders has been significantly reduced, as stores do not always have highly qualified staff and a higher rate of staff rotation.

Managers received a very powerful LEAFIO Inventory Optimization analytical module, which allows them to find the reason why there is overstock or understock, identify problematic suppliers, and find delayed orders within a few minutes.

Results in figures:

  • 10% sales increase;
  • 15% improved inventory turnover;
  • 11% average stock reduction;
  • 98% SKU availability.

Thanks to internal processes streamlining and LEAFIO AI implementation, the funds tied in excess stocks were successfully released and invested in the chain’s development.

Implementation results

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