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

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.
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.
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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