Increase trading capacity using existing capital

Physical commodity trading is constrained by working capital, not market opportunity.

Each cargo consumes liquidity across purchase cost, freight, margin requirements, payment terms, and financing structures.

Most trading houses can see their trades. Few can see how those trades consume scarce capital.

Chowa helps finance and treasury teams understand how capital moves across cargo cycles and where capital may be tied up unnecessarily.

Chowa provides visibility into how capital is deployed across cargo cycles, payment terms, and financing structures.

Working Capital Example
$52M
Cargo value$52M
Payment terms30 days
Shipping duration28 days
Settlement delay20 days
Total capital tied up
78 days

Commodity trading is constrained by capital, not opportunity

Each physical cargo requires significant working capital. Purchase cost, freight, insurance, margin requirements, payment terms, settlement timing, financing costs.

A single cargo can tie up $20M–$80M for 60–90 days.

Across multiple cargoes this creates pressure on credit lines, borrowing base availability, liquidity headroom, and trade finance capacity.

Many trading houses decline profitable trades because capital is already committed elsewhere. Trading capacity is often constrained by balance sheet efficiency rather than market opportunity.

Working capital becomes trapped across cargo cycles
Credit lines are used inefficiently
Treasury lacks forward visibility into liquidity usage
Trading activity becomes limited by available capital

Understand how cargo cycles consume working capital

Chowa analyzes how physical trades translate into working capital usage across the portfolio. Instead of only viewing trades individually, Chowa provides a consolidated view of how liquidity is deployed across cargo cycles and financing structures.

Which cargoes consume the most working capital

How bank credit lines are utilized

Where payment terms trap liquidity

How financing structures impact capital efficiency

How cargo cycles affect liquidity over time

Counterparty exposure and credit concentration impact

Evaluate trading and financing decisions before committing capital

Run forward-looking scenarios to understand liquidity impact before executing trades.

1

If a $30M cargo becomes available, can existing facilities support it?

2

How much additional volume can current bank lines support?

3

What is the liquidity impact of CIF vs FOB structures?

4

How do payment term changes impact working capital usage?

5

Which financing structure reduces capital drag?

6

How quickly is capital recycled across trades?

7

How much liquidity is released if payment terms improve from 30 days to 15 days?

CTRMs track trades. They do not optimize working capital.

Commodity Trading and Risk Management systems are designed to manage trade capture, logistics, pricing, exposure, and settlement. They provide transaction level visibility.

They do not typically provide portfolio level visibility into capital deployment.

CTRMs generally do not show:

how working capital is distributed across cargo cycles
how efficiently credit lines are utilized
how financing structures impact liquidity usage
how capital constraints limit trading activity

Chowa provides a capital efficiency layer that complements existing CTRM workflows. No system replacement required.

Built for professionals managing liquidity risk

Chowa provides visibility into working capital utilization, credit facility usage, borrowing base efficiency, trade finance allocation, and liquidity exposure across cargo cycles.

Chief Financial Officers

Heads of Treasury

Trade Finance Directors

Risk Committees

Capital tied up in a single cargo

Cargo value$52M
Payment terms30 days
Shipping duration28 days
Settlement delay20 days
Total capital tied up78 days

Across multiple cargoes this can represent hundreds of millions in working capital exposure.

Small improvements in timing or structure can materially increase trading capacity without increasing balance sheet usage.

No system integration required

Works with exported datasets
No CTRM replacement
No workflow changes
No counterparty disclosure required
Data can be anonymized
Initial diagnostic typically delivered within days
Uses existing exports from CTRM, ERP, or internal reports

How it works

1

Data Integration

Chowa connects to existing internal reports, CTRM systems, or structured datasets.

2

Capital Flow Analysis

Chowa analyzes how cargo movements translate into working capital usage across the trading portfolio.

3

Liquidity Optimization

The platform identifies where capital is tied up and highlights opportunities to improve capital efficiency.

Start with a structured diagnostic

Chowa begins with a working capital diagnostic using a limited anonymized dataset covering recent trades. The diagnostic highlights working capital usage across cargo cycles, liquidity exposure over time, payment timing inefficiencies, financing structure impact, and credit line utilization patterns.

Improve capital efficiency across the trading portfolio

increase trading capacity without increasing credit lines

improve working capital efficiency

reduce liquidity pressure

optimize trade finance usage

improve borrowing base utilization

support better financing decisions

Start with a Working Capital Diagnostic

Chowa begins with a short diagnostic using anonymized historical trade data.

The diagnostic shows how working capital moves across cargo cycles and identifies where liquidity may be tied up or inefficiently deployed.

Typical timeline: a few days
No system integration required
Data can be anonymized

Output includes

overview of working capital usage across trades
credit facility utilization analysis
cargo cycle liquidity profile
identified capital efficiency opportunities