The software you already tried was not built for this business
You have lived it already. Months of implementation, a consultant who asked you to “explain how the business works” in order to configure the system, custom fields nobody understood, and in the end the team went back to Excel because it was faster. It was not your fault. The system was not built for coffee and cacao trading companies.
Software built for another industry will never understand yours.
See the demo →Software built for another industry does not fail because it was poorly implemented — it fails because it does not have the concepts
It is not a configuration problem or a training problem. It is that the system was not designed with the fundamental concepts of a trading company. It does not know what a yield factor is. It does not understand that a coffee lot is not a SKU. And no matter how many custom fields you add, it will never work as if it knew this from the ground up.
Yield factor: the data point with nowhere to live
The yield factor determines the real price of every purchase. In a generic system that data point does not exist — you have to invent a field, do the calculation on the side, and pray that someone updates it. A critical figure living inside a patch.
Lots vs. SKUs: the difference that changes everything
A generic inventory system thinks in SKUs: "Parchment Coffee", quantity 500. But you do not have 500 identical kilos — you have 12 lots with different qualities, moistures, origins and factors. That difference is not solved with an extra field.
Supplier advances: more than an account payable
In a trading company, an advance is tied to a supplier, to a harvest, to future lots. A generic system records it as just another account payable — with no link to the lot backing it, and no automatic offset at settlement.
What changes when the software actually understands
A platform born inside a trading company, not adapted from the outside
Built for this business means the yield factor is native data, not a custom field. That a lot has quality, moisture, origin and warehouse from the very first record. That a forward contract knows its price depends on an external reference. That an advance is automatically offset against the lot settlement. It is not configuration — it is design.
Purchasing with the real concepts of the business
Lot, supplier, farm, quality, moisture, yield factor, advance. All in a single record, calculated instantly, with a settlement ready to sign.
Inventory by lot — not by generic product
Every lot is a lot: with its quality, its warehouse, its moisture, its history. Milling, blending and transformation integrated. You know what you have, not what a product code says.
Contracts that understand differential and forward pricing
Fixed price, differential over a base price, forward against the exchange. Open position in real time. The system knows how much you must deliver and at what price — with no separate spreadsheets.
Real margins, not accounting averages
Real purchase cost per lot (with factor, transport, milling) against contract price. Gross margin per operation. Profitability that calculates itself, not something someone assembles at month end.
Generic business systems vs. BeanFlux across the 5 operational domains
It is not that the generic system is bad. It is that it was designed for another business. This is the concrete difference, domain by domain, in what matters for a coffee and cacao trading company.
Purchasing
- Records a "purchase order" with a product code — it does not know what a lot with quality, moisture and origin is
- The yield factor does not exist as a concept — you have to invent custom fields nobody maintains
- Supplier advances are handled as generic accounts payable, with no link to the lot or to the settlement
- Purchase recorded by lot with supplier, farm, quality, moisture and automatic yield factor
- Settlement generated instantly with factor-adjusted price, advances deducted and a document ready to sign
- Full traceability of the advance: how much was paid upfront, against which lot it was offset, how much remains pending
Inventory
- Inventory by SKU: "Parchment Coffee" is a single product, with no distinction of lot, quality or warehouse
- It does not differentiate wet from dry parchment, or pasilla from excelso — it is all the same line
- Milling or blending movements require manual "inventory adjustments" that break traceability
- Real-time inventory by warehouse, by lot, by quality — every kilo has a history
- Wet parchment, dry, pasilla, excelso: each quality is visible, measurable and traceable separately
- Milling, blending and transformation integrated: the system knows what went in, what came out and how much it yielded
Sales contracts
- A contract is a PDF attached to a record — the system understands neither open position nor delivery commitments
- Differential pricing tied to the exchange or to the FNC base price does not exist as a concept
- Forward contracts are handled in a separate spreadsheet because the system does not support them natively
- Fixed-price, differential and forward contracts in a single place — with open position in real time
- Differential price automatically linked to the base price: when the price changes, the position updates
- Inventory matched against contracts: see which lots cover which commitments before the client calls
Margins and profitability
- Calculates margin as "sale price minus average cost" — no yield factor, no per-lot expenses
- The real purchase cost never includes the impact of the factor or the milling and transport costs per operation
- To know whether a deal was profitable, you have to build the calculation manually in another tool
- Gross margin per operation in real time: real purchase cost (with factor and expenses) against sale price by contract
- Profitability by lot, by quality, by period — the system calculates it, not you
- Margin visibility before closing the operation, not two weeks later when there is nothing you can do
Quality and yield factor
- The "quality control" is a free-text field or an approved/rejected checkbox
- The yield factor — the most important data point of the purchase — has nowhere to live in the system
- No link between the quality analysis, the lot and the sales contract that demands that profile
- Quality analysis linked to the lot and the contract: moisture, factor, loss, cup profile
- Yield factor calculated automatically on every purchase — the real price adjusts instantly
- Alerts when a lot’s profile does not meet the specifications of the contract it is assigned to
This time the software actually understands your business
We show you BeanFlux in 20 minutes with real purchasing, inventory and contract data. No months of implementation, no consultants asking you to explain your business — a system that already knows it.
Book a demo →20 minutes · No sales presentations