// FMCG
AI for distribution and demand.
Visibility that ends at the depot, and demand signals that arrive after the decision.
The challenge
Secondary sales data arrives late and incomplete, so forecasting is instinct with a spreadsheet attached. Distributors hold the wrong stock, routes are set by habit, and trade spend is judged after the quarter closes.
Solution highlights.
Composed from proven components across our delivery bench — BrainStation23, VIVASoft, NagorikTech and Cefalo — orchestrated and governed by us end to end.
Distribution management system
Order capture, distributor stock, claims and secondary sales on one connected model, down to the outlet.
BrainStation23 · Sfotic delivery
Route and territory intelligence
Beat planning and coverage optimisation from actual visit and sales data instead of legacy territory maps.
Sfotic AI practice · NagorikTech bench
Demand forecasting
SKU-level forecasting on connected primary and secondary data, with promotion and seasonality effects separated out.
Sfotic build · B2Metric analytics
Trade spend and claims automation
Claim intake, validation and settlement automated with document extraction and rule-based approval.
VIVASoft product squads
Our competitive edge.
Data foundation first
We map the data debt before promising a model. Forecasts only hold when secondary sales actually arrive daily.
Field-grade delivery
Apps built for low-connectivity field reality across South Asia and SEA, not for a boardroom demo.
Outcome-linked pricing
Where forecast accuracy or fill rate is baselined before we start, part of our fee moves with it.
18%
Improvement in forecast accuracy at SKU level
National distributor
22%
More outlets covered per route without added headcount
FMCG field programme
Daily
Secondary sales visibility, previously monthly
Regional principal
Use cases.
The depot stopped being the edge of the map
Secondary sales were reported monthly in aggregate. Connected order capture at the outlet gave daily visibility, and replenishment decisions moved from guesswork to signal.
Routes rebuilt from evidence
Beat plans hadn't changed in years. Route intelligence on actual visit and conversion data raised coverage with the same field force.
Trending in FMCG.
- Outlet-level demand signals
- Automated claims validation
- Route optimisation under low connectivity
Related insights
Applied AI · May 2026
Your forecast isn't wrong — your secondary data is late
Industry deep dives · Apr 2026
What distribution visibility actually costs to build
Modernization economics · Mar 2026
Trade spend leakage hides in claim workflows
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