Brands currently invest their local sales force to gain offline location intelligence for various purpose like open a new retail store, evaluate consumption potential of individual area/pockets, and then benchmark it to their existing dealer network. These manual efforts are accompanied by error margins and bias, which can be negated through intelligence like:

• Satellite Imagery
• Demographic Data sources like Population, households, SC/ST population, literacy, education, employment
• Economic Data sources like Nightlights, agricultural incomes, built up, the proportion of roof types, GSDP
• Environmental Datasources like Gridded rainfall and temperatures, extreme climatic days
• Liveable factors source like Household conditions, irrigated area, living conditions, Access to schools, ATMs, medical facilities, roads, nearest town/ district HQ, and mandis.
• Others factors like Household consumption expenditure, built-up, car/tractor registration

Brand Benefits:

• Market explorer – Brands can use local physical stores as drivers to analyze current distributor performance to
  • Evaluate coverage
  • Identify gaps and
  • Target areas for expansion
• Market insight – Micro-profiling of markets using our in-house database of 300+ indicators
• Market vision -Estimating market potential (in terms of sales) using machine learning and statistical modelling