Real-time visibility for a farmer cooperative
A cooperative buys produce from thousands of farmers and pays them through M-Pesa.
Use case · how we solve it 01 · The challenge
What holds organisations back.
- Reports compiled manually every week
- No view of intake, payments and cash together
- Hard to plan for peak seasons
02 · The solution
Pulse: Executive dashboards & forecasts.
Finance, sales and operations in one real-time view, with AI forecasts for what's next.
03 · How it works
About Pulse The architecture.
- 1Changes captured from SAP every hour
CDC · OData - 2Sales and customer data pulled in
REST · incremental - 3Payment statements loaded daily
API / SFTP - 4Raw data lands in the lakehouse
Bronze layer - 5Data is cleaned and modelled into KPIs
Silver → gold - 6Models train on history to forecast
Python · scheduled - 7Leaders see live dashboards
Row-level security - 8Forecasts appear beside actuals
Scored tables
04 · How we deliver
Our lifecycle, step by step.
- Understand
Agree the KPIs that matter most
- Design
Connect ERP, intake and M-Pesa data
- Develop
Build mobile dashboards for the board
- Review & test
Add seasonal intake forecasts
- Deploy & manage
Go-live with hypercare, then 24×7 support and monthly reviews.
05 · What changes Target outcomes for this scenario. Actual results depend on each organisation's volumes and systems.
DailyKPIs instead of weekly reports
1 viewof intake, payments and cash
Forecastsfor peak-season planning
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