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One analytics platform for a farm-supply network

Data pipelines, depot dashboards and weather-aware forecasting.

Client
Fieldwise Agro (concept)
Industry
Agritech
Timeline
20 weeks
Platforms
Web analytics portal
Services
Web DevelopmentDedicated Developer
Fieldwise AgroAgritech

Demand moves with the seasons and the weather, but decisions ran on weeks-old spreadsheets. We brought sales, stock and weather data into one platform.

−75%Time to report · target

The challenge

Each month began with two weeks of spreadsheet consolidation.

Forty sources of truth

Every depot reported differently.

Stale decisions

Reports arrived after the season had moved.

Peak-season stockouts

Popular lines ran out in the busiest weeks.

No weather signal

Forecasts ignored the biggest driver.

Our solution

Data foundations first, then the tools people use daily.

  • Automated pipelines

    ERP, depot and weather data, quality-checked.

  • One data model

    Agreed definitions, tested in dbt.

  • Depot dashboards

    Fast views with low-stock alerts.

  • Demand forecasting

    Seasonal forecasts adjusted for weather.

Outcomes

−75%

Time to report

Hourly

Data freshness

40

Depots, one model

−20%

Peak stockouts

Decisions made within the season, not after it.

Modelled targets, not reported results.

Concept study: the organisation is fictional and figures are modelled targets, not reported results.

Technology

  • Python
  • dbt
  • BigQuery
  • Cloud Composer
  • Next.js
  • Apache ECharts
  • Google Cloud

A small-business loan application rebuilt around ten minutes

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