Liquidity Analysis

Agro-Industrial Sector

The Forecast That Changed the Strategy

Report "Raw Material Prices Q4"

4.5
Advanced Analysis

"The AgroCashFlow white paper on wheat price volatility was instrumental in renegotiating our long-term contracts. We anticipated an 18% increase, and the forecast proved accurate."

The platform provides not only historical data but also predictive models that integrate weather and global market factors. This analytical depth allowed us to optimize cash flow in the most critical quarter.

Alexandru Popescu

Financial Director, "CerealePro" LLC

March 15, 2024

Southern Region

Methodology applied: Regression Analysis & Monte Carlo

Period covered: 6 months

Estimated impact: +12% operational liquidity

Specific domain: Grain Processing

CF

Detailed Cash Flow Analysis for a Grain Processor

Case study published on November 15, 2023

Sector

Grain Processing

Analysis Period

Q3 2022 - Q2 2023

Analysis Purpose

Optimizing Operational Liquidity

Cash Flow Challenges Identified

The company, a medium-sized grain processor, faced significant liquidity volatility despite growing revenue. Our analysis highlighted three critical points:

  • Payment Gap: Suppliers required payment in 30 days, while major clients paid in 60-90 days.
  • Costly Storage: Seasonal purchasing of raw materials to take advantage of low prices tied up working capital for months.
  • Lack of Forecasting: The absence of a 90-day cash flow forecast model left managers unable to anticipate liquidity shortfalls.

Approach and Tools Used

We implemented a three-stage analysis framework, based on reports and statistics from the AgroCashFlow platform:

1. Benchmarking with Sector Data

We compared the company's DSO (Days Sales Outstanding) and DPO (Days Payable Outstanding) with averages in the grain processing industry, identified in our database.

2. Price Forecast Model

We integrated our forecasts for wheat and corn prices for the next two quarters to optimize the timing of raw material purchases.

Key Result

Within 6 months, the company managed to reduce its cash conversion cycle by 22 days and release over 15% of the working capital tied up in inventory, without affecting production. Implementing a weekly cash flow report became standard.

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