Data-Driven Consultancy
Transform financial accounts into customised cost-of-production models across any agricultural or horticultural sector.
Financial Data Collection & Structuring
Data Standardisation: Clean and reformat diverse accounting outputs.
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Historical Data Integration: Incorporate 3–5 years of past accounts to identify performance trends and seasonality.
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Input Cost Breakdown: Allocate expenses into clear categories (seeds, feed, fertiliser, energy, labour, machinery, depreciation, land use, overheads).
Model Development
Custom Cost-of-Production Models: Build dynamic models that are sector specific.
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Scenario Analysis: Allow clients to test “what if” changes in input prices, yields, or selling prices.​
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Benchmarking: Compare performance against group or industry averages.
Supply Chain & Market Integration
Requirements Alignment: Ensure models reflect grading standards, specifications, and payment structures of different buyers.
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Sustainability & Compliance: Carbon accounting, water usage, or biodiversity metrics.
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Value-Chain Modelling: Show how changes upstream (input costs) or downstream (market prices) affect profitability.
On-Farm Insight, Market Demands & Data-Driven
Sustainability
With hands-on farm management and retail agriculture experience, I combine practical production insight with expertise in carbon accounting to align farm operations with market demands. Skilled in translating financial and operational data into dynamic cost-of-production models, I drive decisions that optimise profitability, resource efficiency, and sustainability across diverse agricultural enterprises.