Case Studies

Optimize financial planning thanks to a machine learning forecasting engine

Background

The client is farming company who has required BIP support to identify the key elements influencing value creation and to clarify the links between operational and financial drivers.

Decisions and actions

We designed and implemented an integrated planning tool for the preparation of the annual Budget and of the Long Range plan made by:

  • a forecasting engine (Yield Forecasting engine) based on advanced analytics and machine learning methodologies to estimate farming production from trusted datasets and drivers (weather, farming activities, age of plants, …)

  • a financial model (Economics Simulation engine) able to measure the impacts coming from future events/decisions on the company profitability (P&L) and on other relevant KPIs (cash flows).

Results

  • Availability of an effective cockpit supporting decisions making on the key levers impacting both operating and financial results

  • Definition of reliable plans on the medium and long term period

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