Production in Heavy Industry – Rail Logistics Optimisation
How to replace manual wagon identification with AI video analytics, cut railroad waybill read errors below 2% and reduce rail logistics OPEX while keeping operations 24/7 and audit-ready
Client
Heavy Industry Company
Sector
Industry & Production
Localization
Poland
Outcome
OPEX reduction
Client
Heavy industry
Sector
Industry & Production
Localization
Poland
Outcome
OPEX reduction
Industrial Complex case study – Rail Logistics Optimisation
How to replace manual wagon identification with AI video analytics, cut railroad waybill read errors below 2% and reduce rail logistics OPEX while keeping operations 24/7 and audit-ready.
Client: Heavy Industry Company
Global leader in building materials manufacturing
01. Challenge
Heavy manual workload for wagon identification and document handling.
Read errors and insufficient end-to-end audit trail for events and data.
24/7 operations plus multiple carrier document formats to support.
Staffing constraints and the need to scale without adding headcount.
02. Solution Approach
We combined AI video analytics + OCR
with operational integrations and document automation
to keep the process stable 24/7 and audit-ready.
01
Discovery
Needs & KPI alignment
02
Requirements Definition
Szczegółowy zakres wdrożenia i specyfikacja techniczna.
03
Build & deploy
Pilot → rollout
Video + OCR module for wagon numbers
Integrations (scale readouts, wagon–measurement–time linkage, event registry)
Waybill generator (~10 carrier templates), validation, manual edits, PDF/email export, roles & approvals
Anonymisation, failure notifications, and an SLA.
03. Outcomes
< 2%
Railroad waybill read error
10+
Carrier document templates within one workflow
99.5%
SLA and a stronger, end-to-end audit trail
FTE ↓
Saved labor hours and redeployed staff to higher-value work
OPEX ↓
Reduced rail-logistics process OPEX