Accurate data
A fundamentally new algorithm for processing OFD data enriched with field research allows obtaining a cross-section of sales history with an accuracy of up to 95%
Data analytics helps to form an effective marketing strategy and increase sales
A fundamentally new algorithm for processing OFD data enriched with field research allows obtaining a cross-section of sales history with an accuracy of up to 95%
The program converts data into interactive charts and diagrams in the form of GRI dashboards in Power BI. In real time, all changes can be observed on any device - laptop, tablet or mobile phone
The database contains more than 200 SKU. Up to 80% of offline and online retail receipts. Daily data processing from 200 thousand retail outlets
The Gradus Retail lndex dashboard is formed according to the requests of a specific client on an individual request. A personal manager helps to interpret all the data
The GRADUS Retail Index algorithm covers 50% to 80% of the market volume by SKU, does not use extrapolation, and provides decadal data granularity
GRI works with both offline and online sales segments, and evenly covers both chain and non-chain retail.
A fundamentally new algorithm for processing OFD data, enriched with field research, allows for a sales history analysis with an accuracy of up to 95%. The GRADUS Retail Index integrates and correlates figures, helping to forecast product pricing behavior and draw accurate conclusions.
Currently, OFD data is actively sold; however, it is usually insufficient for accurate forecasts, as it is often anonymized and does not provide a clear picture. At Gradus, integrated analytics are employed, enriching OFD data with information from other sources, such as cashback services from EGAIS. Moreover, the company has over 10 years of experience in merchandising, so the data is further enriched and validated through field research.
The use of the GRADUS Retail Index tool can cover 50 to 80% of the market by category, not numerically but weighted, without extrapolation, with data accuracy of no less than 90%. When collected and correctly interpreted through machine mechanisms, this data forms the basis for precise planning for all departments within the manufacturing company, from marketers and analysts to executives like the CEO and Commercial Director.
Analytical insights help make informed decisions about what discount to offer during promotions, how to forecast inventory levels, which price segment to introduce a new product in, and how to optimize internal business processes.
The cost of using the program is significantly lower than that of Western counterparts, matching their capabilities while offering a broader range of functionality. The GRADUS Retail Index is a timely product that will help Russian manufacturers effectively plan their marketing strategies under current conditions. Those who utilize modern data analysis programs find it easier to adapt to changing consumer preferences, supply chain disruptions, and labor market fluctuations. Implementing a reliable analysis program provides a significant competitive advantage. Accurate understanding and responsiveness to the factors shaping modern retail today are key to survival in a rapidly changing industry.