Sales Analytics FMCG – Gradus Retail

An innovative tool for the sales analytics of FMCG categories based on Fiscal Data Operator (FDO) data and field studies

Choose the analytics format that suits you

Data analytics helps to form an effective marketing strategy and increase sales

Our advantages

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%

Convenient format

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

Wide coverage

The database contains more than 200 SKU. Up to 80% of offline and online retail receipts. Daily data processing from 200 thousand retail outlets

Individual approach

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

Lack of extrapolation

The GRADUS Retail Index algorithm covers 50% to 80% of the market volume by SKU, does not use extrapolation, and provides decadal data granularity

Online and offline data

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.

Integrated Analytics of the GRADUS Retail Index

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.

Analytics as an Accessible Tool for Business

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.

Unique Data Quality

  • Coverage of up to 80% of offline and online retail receipts
  • Database with over 700,000 product names
  • Daily data processing from 200,000 locations
  • Availability of more than 300 FMCG categories
  • No extrapolation
  • Data accuracy of no less than 95%
  • Dedicated account manager

RETAIL INDEX ONLINE

  • Dimensions: SKU/Brands
  • Sales Indicators: Regular/Promo, Distribution
  • Channels: MM (Modern Market), CM (Cash & Carry), GM (General Market)
  • Regions: Detailed by regions/cities
  • Granularity: Weekly/Monthly*
  • Update Frequency: Every 12/22 days*
  • History: 2 years

RETAIL INDEX OFFLINE

  • Dimensions: SKU/Brands
  • Sales Indicators: Regular/Promo, Distribution
  • Regions: Detailed by regions/cities
  • Granularity: Weekly/Monthly*
  • Update Frequency: Every 12/22 days*
  • History: 2 years

Data Collection and Analytics Process

Sources

  • OFD Receipts
  • Cashback Services
  • Field Team Data

Preparation

  • Decoding SKU Descriptions
  • Market Formation
  • Identifying Promo/Regular Sales
  • Marketplaces

Data Provision

  • Power BI Dashboards
  • Client-Specific Visualization
  • OLAP Cube

Data Collection

  • Chain Retail
  • Traditional Retail
  • Online Retail
  • Marketplaces

Статистика GRADUS

6000
field staff
10
years on the market
10
Offices in Russia
120
full-time employees

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