Deepspatial

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Retail

Background

A leading 25-year-old CPG brand wanted a better understanding of the markets they currently serve, their market potential and coverage, and the effectiveness of their distribution channels. The decisions for market expansion, manpower hiring, product enhancements, brand visibility, marketing campaigns etc., were based on either normal market feedback, executive’s perceptions, or from various consulting firms. The board decided they wanted to change their decision-making processes to a more accurate, data-driven approach with the goal of growing their global presence and market share.

Challenges

  • Client operating on a tight schedule, requiring insights within 90 days.
  • Objective: Optimize product assortments for maximum revenue generation from their locations.
  • Challenge: Siloed client data and limited inter-departmental collaboration.
  • Deepspatial’s approach: Working cross-functionally with sales, marketing, logistics, and critical client departments.
  • Outcome: Successful collaboration and achievement of objectives within the given timeframe.

How Are We Making An Impact

Using hundreds of data metrics, spatial layers, demographic data, internal client data, and primary research data, Deepspatial’s platform was able to provide several insights relating to high-potential locations for new store expansion and inventory optimization for customers in each location. Insights, predictions, and prescriptions for informed decision making were provided by the Deepspatial platform and decision-makers of each department utilized Deepspatial’s data-driven recommendations in confidence.

Visible Outcomes

  • Deepspatial’s platform provided retail brand insights, prescriptions, and recommendations.
  • The platform helped the client find new high-performing locations for their brand.
  • It optimized processes and decisions for the client.
  • The client reduced their usual scouting time from over 45 days to less than 3 days.
  • The platform generated highly accurate detailed reports on optimal store locations.
  • Demographic analysis, customer paying capacity, and buyers’ behavior were included in the reports.
  • The platform also provided insights on demand for different items.
  • SKU level forecasting, supply chain management, and revenue generation opportunities were covered.
  • Overall, Deepspatial’s platform improved the client’s location scouting and decision-making processes significantly.