Service 04 of 06
Catchments, travel time, demand forecasts and optimisation, on dashboards that update as data arrives.
Spatial analytics turns layers and your own data into an answer to one question, delivered on a schedule: which areas your distributors miss, which branches overlap, where the season is going wrong, which roads waste time. The answer comes as a dashboard or a report your team can act on the same week.
Most clients start here, with one question and one region, before deciding whether they need a full platform.
What's inside · 11 offerings
“Which outlets and neighbourhoods are our distributors not reaching?”
Compares the retail universe with distributor routes and sales data to show white space by area and by distributor.
“Which areas should get more stock or a promotion this month?”
Ranks areas by estimated demand and recent sell-out so stock and promotions follow the people likely to buy.
“When should an index-insurance policy pay out, and can the trigger be trusted?”
Designs and monitors triggers from rainfall and satellite flood extent, with an audit trail for each payout decision.
“Which branches should we merge, move or turn into agent points?”
Compares each branch's catchment, footfall proxies and overlap with other channels.
“How many buildings are using the service but not on our customer list?”
Compares building footprints and their use with the customer database to show likely unbilled or misclassified connections.
“Which routes waste time, and where do drivers get stuck?”
Reads the client's GPS traces to find slow segments, unplanned stops and better routes.
“Which areas can we promise next-day delivery to, and when does that change?”
Combines road access, seasonal flooding and security incident data into a serviceability rating by area.
“Which farming areas are too far from a dealer for our seed and fertiliser?”
Maps dealers against cropland and travel time to show underserved areas and candidate locations.
“Is this season going well enough to lend, buy or plan logistics against?”
Tracks rainfall and vegetation anomalies by district during the season and flags areas falling behind.
“Who lives too far from a registration point or a clinic?”
Combines facility lists, population and travel time to show access gaps and test new service points.
“Where are children far from a school, and which schools are overcrowded?”
Maps schools, school-age population and travel time, and checks school records against imagery.
Tell us the decision you need to make and where. We will come back with the smallest piece of work that answers it.
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