Project Goals
1% increase in profit in test stores compared to reference points.

5% growth in sales volume (units sold).
Increase in category sales share for pilot stores.
Reduced time for planogram development and implementation.
Progress of the project
To ensure a valid comparison of results, it was crucial to correctly determine store pairs (pilot and reference) while also considering sufficient stock levels to maintain uninterrupted sales, with the effectiveness of the product display analyzed based on sales data provided by retailers, allowing for an accurate assessment of the impact of the changes.
Integration with the ERP System
To enhance data accuracy and automate processes, an integration with the client's ERP system was carried out. The system was updated with all necessary information, including product nomenclature, prices, additional attributes, store lists, and sales history. This ensured the use of up-to-date data for product display analysis and decision-making.
Planogram Adjustments
For a precise effectiveness analysis, store pairs—test (pilot) and reference—were identified. In pilot stores, planograms were updated based on historical sales data (April–June), and the new layouts were then shared with retailers for implementation. This approach enabled an assessment of changes in real market conditions.
Results Analysis
One month after implementing the updated planograms, a sales performance analysis was conducted for both pilot and reference stores. The study assessed sales trends before and after the layout adjustments, comparing test and control locations. This approach allowed for an accurate measurement of the impact of the new merchandising strategy on sales and category management efficiency.
Effects of System Implementation
Qualitative Changes:
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Higher share of smaller bottle sizes and key Borjomi SKUs in reference stores compared to other retail locations.
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Data-driven decision-making, shifting from intuition-based choices or brand preferences.
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Optimization of shelf space utilization, reducing the number of inactive SKUs.
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In-depth merchandising analytics for performance evaluation.
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Enhanced brand recognition and customer experience, ensuring popular products are more accessible to shoppers.
Client Testimonial
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