Use cases

Representative use cases

Realistic scenarios without fictional customer names. They show which problem each module is meant to solve.

Case 01FinanceUruguay (illustrative)

Three projects, two partners, one clear number

Every year-end brought the same question — who put in how much, and where did it go — answered by hand with cross-referenced spreadsheets. Here is how a production group put its books in order without losing a single transaction.

Production group · 3 projects · 2 partners

Segesio ERP screenshot at Finance — Finance module — partner contributions and expenses assigned by project, in a single close-ready view.

Illustrative scenario

3projects with separate books (illustrative)

2partners with contributions tracked (illustrative)

−40%annual close time (illustrative)

The challenge

Expenses were paid from three different tills: each partner's personal account and a shared one, with no single rule for who paid what. At close, reconstructing contributions took weeks of cross-referenced spreadsheets, and the gaps ended in arguments. Nobody could say with numbers whether a project was profitable or was being propped up by another.

The solution

The operation was split into projects, funding sources, categories and income, with Finance as the central module. Every expense was assigned to a project and to the source that paid it, and each partner contribution was recorded as it happened. Close stopped being a manual reconstruction: it became a report that was already built and that anyone could open.

“We stopped debating numbers and started reading the report. The conversation changed: it's no longer about who's right, it's about what we do with what it shows.”
Managing partner · Representative testimonial

Expected impact

Partner contributions visible instantly, no reconstruction
Every expense tied to its project and funding source
Per-project profitability without cross spreadsheets
Annual close in days, not weeks

Case 02Operational weatherLitoral, Uruguay (illustrative)

Twelve fields, one good window a week

Applications used to be decided over the phone and by looking at the sky. Now a single screen says whether to go out or wait, and separates an ideal wind from the rain that ruins the job.

Application crew · 12 active fields

Segesio ERP screenshot at Operational weather — Weather panel — current conditions, hourly forecast and rain probability by farm, built for a shared field screen.

Illustrative scenario

12fields with per-farm weather (illustrative)

3→1weather sources they check (illustrative)

5 minmaximum data age (illustrative)

The challenge

The crew checked two or three weather apps before every application, with data that didn't agree. In practice they went out because the sky looked fine, and sometimes sprayed with wind out of range or right before rain that washed the product away. Each mistake cost inputs, machine hours and a full redo.

The solution

Field Station brought weather together by farm — current conditions, hourly forecast and rain probability — and turned it into an operational recommendation wired to the day's tasks. The wind window was separated from application approval: probable rain blocks the go-ahead even when wind is ideal, and the screen says so before the machine is loaded.

“The screen tells us when to wait, and in the field that prevents mistakes you pay dearly for later. The operator no longer has to guess.”
Field supervisor · Representative testimonial

Expected impact

Fewer calls and checks before leaving
Wind and rain read on a single screen
Tasks prioritized by urgency and by window
Fewer applications lost to misread rain

Case 03Inventory & stockLatin America (illustrative)

Eighty inputs that stopped running out at the last minute

The shortage only showed up once the machine was ready to work, and the purchase was solved in a rush at whatever price. Connecting stock to activities changed the order of things.

Mixed operation · 80 inputs in stock

Segesio ERP screenshot at Inventory & stock — Inventory module — stock list with levels and movements, to catch shortages before executing the task.

Illustrative scenario

80inputs under stock control (illustrative)

−70%last-minute purchases (illustrative)

0tasks stalled by shortages (illustrative)

The challenge

With 80 inputs in the warehouse, the ones about to run out only surfaced when the task was already about to start. Purchases were solved urgently, at whatever price and without comparing, and sometimes the activity stalled waiting for a drum. Nobody had a reliable list of what was missing or how much was consumed per activity.

The solution

Stock, activities and alerts were connected: every consumption was tied to the activity that caused it, and the system flags low stock before it becomes a problem. Replenishment moved to being planned ahead, comparing prices instead of buying against the clock, and the warehouse began to reflect what was actually there.

“The problem stopped appearing when the machine was already ready. Now the shortage warns us in time and we buy calmly, comparing.”
Operations lead · Representative testimonial

Expected impact

Low stock visible before it runs out
Every consumption tied to its activity
Replenishment planned, not urgent
Purchases compared instead of rushed

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