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ERP · geology

AUTOMATION OF GEOLOGICAL EXPLORATION COMPANY

It was necessary to develop a software product for business automation, which would take into account all the nuances and features of management and

Timeline4 months
Development costUndisclosed
FormatERP · geology
StatusPrivate project
Challenge
ERP for remote exploration sites with offline capture
Solution
Field .NET client plus central Django, PostgreSQL and React hub
Result
Live reporting, payroll automation and supply forecasting

Why we built this

The geological exploration company ran field sections thousands of kilometers from headquarters, often with unstable connectivity and harsh climates. Management received consolidated picture weeks late — phone briefings, paper timesheets and Excel — too late to adjust a shift plan or stop resource overruns on site.

Paper workflows invited disputes over output, fuel misuse and bonus accruals. Planning and accounting spent days re-keying and reconciling field documents. The client needed true ERP logic — production, payroll and warehouse — not a digital notebook, with offline work until a satellite link returns.

We spent two weeks on site interviews with section managers and shift foremen, then designed a microservice split: an autonomous field module on hardened laptops and a cloud management layer for planners, analytics and headquarters payroll.

Key capabilities

01
Offline field module
.NET client and SQLite on rugged laptops store shift reports and stock offline, then sync batches through a secured API when the satellite link returns.
02
Unified daily report
Up to fifteen minutes after shift: penetration vs plan, rig hours, materials, fuel and incidents with limit alerts and discipline notes.
03
Payroll rules
Time-bonus scheme with piece rates, nights and fines; per-employee timesheets cut fraud and feed headquarters payroll in near real time.
04
HQ analytics
Django/React dashboards on footage, staffing and resource burn with period tables and charts planners already use for quarterly reviews.
05
Supply forecast
Models predict penetration, fair crew rotations and material needs so logistics ships just-in-time instead of filling remote stockpiles.
06
Telematics
GPS and fuel sensors tie into hours and GSM accounting; the work-order screen mirrors the legacy paper form with field validation.

How it works

The field .NET client queues SQLite transactions while offline; sync jobs upload when a link appears. The central Python/Django stack on PostgreSQL normalizes payloads and powers React dashboards for executives, planners and finance at headquarters.

The hardest work was encoding exploration logic — penetration tied to geological sections, fuel norms, safety incidents — without breaking the statistical formats the organization already used. The work-order screen copies the paper layout but auto-fills directories and validates input.

Delivery took five months with heavy upfront discovery. After pilot sections went live we wired telematics, trained shift leads and replaced weekly Excel consolidation with encrypted daily reports from every section manager.

How the work went

01Field discovery and user interviews
02Offline client and cloud core architecture
03Reports, payroll rules and forecasting
04Telematics, training and production rollout

Technologies

.NETPython/DjangoPostgreSQLReactSQLiteREST APITelematicsOffline sync
Want a similar ERP product? A project like this starts from 1–3 months at a fixed price, or 0 for development with support from 45,000 ₽ / month.

What we delivered

Headquarters now sees footage, resource use and incidents daily instead of quarterly. Planning and accounting cut consolidation time by about seventy percent while keeping document quality — daily encrypted reports replaced phone summaries, late spreadsheets and manual re-keying.

Transparent timesheets and automated bonus math reduced manipulation risk. Material and fuel forecasting lowered warehouse and dead-stock logistics costs by roughly a quarter, and one digital environment improved response to breakdowns and resupply on remote shifts.

The company gained control over scattered assets under weak connectivity. The field module proved offline resilience; the central hub supports penetration planning, crew rotations and supply — without reverting to paper journals and manual roll-ups.

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