Wall-to-Wall Inventory Using RGIS Vision for Classic Car Parts Specialist
Case Study
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Items
Over 3.1 Million
Locations
70+
Days of Work
1,551
One of the largest electric power utilities in Latin America operates more than 70 substations and sites throughout Brazil. With over 3.1 million spare parts and 45,000+ SKUs, they required a comprehensive solution to validate physical inventory and evaluate internal warehouse processes.
The customer needed more than a traditional inventory — they sought a partner who could assess the efficiency, accuracy and structure of their inventory management processes across a highly complex and regulated network.
The electric power utility company selected RGIS for our:
RGIS created a full-service, technology-enabled inventory and process improvement program using RGIS Vision:
Audit Scope:
Over 3.1 million items across 70+ locations.
1,551 days of fieldwork conducted.
45,168 SKUs validated.
Technology & Tools:
In-house developed low-code mobile app.
Real-time checklists, photographic evidence capture, and process mapping.
Use of RGIS handheld devices, tablets and laptops.
Analysis of item condition, stock structure, and physical layout
Identification of improvement areas via detailed consultancy reports.
Reports delivered in dashboards with AI-powered insights.
Full inventory audit completed within deadlines across 70+ substations.
Photographic reports and dashboards delivered to support internal decision-making.
Identified operational gaps and proposed logistics improvements.
Supported new RFP launch for outsourcing logistics to 13 additional substations.
Client impressed with the professionalism and process insight of RGIS teams.

This project demonstrated the power of RGIS Vision in enabling data-rich, consultancy-led inventory services. The use of photographic evidence, customized applications, and structured reporting created a compelling value-add for the customer. The customer is now considering a long-term renewal of the service and potentially expanding RGIS coverage to other logistics and infrastructure operations.