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Agni · Planning

CIDSA Smart Equipment Planning Suite

Buy less. Use more. Break down later.

Module Role

Fleet-level resource planning across the season

About this module

What it does

A constraint-solver-backed planning engine that decides — at the season-start — which machines to own vs. rent, which contractor to lock in, how many spare drone batteries to stock, and how to sequence service windows so no equipment is down during a critical operation. Pairs OEM service-history data with the farm operations plan to forecast breakdown risk and total cost of ownership 12 months out. Output is a written equipment plan with capex/opex projections, contractor SLAs, and stress-tested "what-if" scenarios (drought year, breakdown of two combines, peak labour shortage).

Key features

  • Fleet sizing: own vs. rent vs. contractor per machine class
  • Total cost of ownership over 5-year horizon
  • OEM service history → breakdown-risk forecast
  • Spare-parts inventory advisor
  • Stress-test scenarios with one-click compare

CIDSA Analytics · Agni

Fleet Planning Outcomes

Six 200-acre portfolios · two-season planning horizon

This SeasonAll BlocksIndia

Idle hrs

-67%

avg fleet

Fuel

-28%

L/season

MTBF

+34%

vs. baseline

Capex avoided

₹12.4L

/portfolio

Idle hours · before vs. after planning

per day

  • After
  • Before
D1D5D10D15D20D25D3005101520

Breakdown-risk score

higher is safer (0-100)

  • Baseline
  • Optimised
TractorHarvesterDroneSprayerPump0255075100

Fuel use · baseline vs. optimised

L per machine per season

  • Baseline
  • Optimised
Tractor-ATractor-BHarvester-1Pump-Set0500100015002000
Sample simulation data · Live data feeds available in deployment.Powered by CIDSA Data Visualization & Analytics

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