Architecting an AI-First GCC for a fortune 500 global commercial vehicle manufacturing giant
Key Highlights
- OptiSol partnered with a leading Fortune 500 commercial vehicle manufacturer to establish an AI-first Global Capability Center (GCC) focused on modernizing shop-floor and enterprise workflows.
- The manufacturer faced fragmented IT/OT data, manual component validation, complex serial number capture, and dependence on dedicated scanning hardware across fast-paced production environments.
- OptiSol combined iBEAM for system and data integration, elsai agents for AI-driven validation, and Scanflow SDK for offline mobile capture, supported by specialized engineering pods.
- The solution improved shop-floor data capture, component validation, system connectivity, and production continuity, creating a foundation for further AI-led manufacturing initiatives.
Problem Statement
01
Disconnected IT/OT Data: Shop-floor logs and component verification data were isolated from MES, EAM, and SAP systems. This limited real-time visibility and made it harder to connect operational data with enterprise workflows.
02
Manual Process Decisions: Component age, configuration, reuse, and assembly checks relied heavily on manual intervention. This made validation inconsistent and increased the risk of errors during production.
03
Complex Data Capture: Capturing 17-digit serial numbers in fast-paced shop-floor conditions was challenging. Manual data entry increased the risk of inaccurate or incomplete records, affecting traceability and downstream validation.
04
Hardware Dependencies: Dedicated scanning devices increased infrastructure costs and limited operator mobility. The manufacturer needed a more flexible way to capture barcode and OCR data using standard mobile devices.
05
Production Continuity: Modernizing the manufacturing IT/OT environment without disrupting continuous production was critical. The organization needed a dedicated engineering capability that could introduce new technologies while working within existing operations.
The OptiSol Fix
01
Connected Manufacturing Data: OptiSol used iBEAM to normalize shop-floor data and establish secure, real-time connectivity with MES and SAP. This created a connected data layer across manufacturing and enterprise systems.
02
AI-Powered Validation: elsai agents automated component configuration and assembly checks, identifying incorrect assemblies and triggering EAM/CMMS work orders when intervention was required.
03
Edge-Based Data Capture: Scanflow SDK enabled offline OCR and barcode scanning on standard Android devices, reducing reliance on dedicated scanning hardware and supporting reliable shop-floor data capture.
04
Edge-Based Data Capture: Scanflow SDK enabled offline OCR and barcode scanning on standard Android devices, reducing reliance on dedicated scanning hardware and supporting reliable shop-floor data capture.
05
Specialized Engineering Pods: OptiSol built cross-functional engineering pods across edge vision, data modernization, agentic AI, and Android engineering to support the GCC’s manufacturing transformation initiatives.
Business Impact
About The Project
This success story demonstrates how OptiSol helped a global commercial vehicle manufacturer establish an AI-first GCC to modernize critical manufacturing workflows. The initiative addressed challenges across the manufacturing technology stack, from fragmented IT/OT data and manual component validation to unreliable data capture and dependence on proprietary scanning hardware.
By combining iBEAM for data and system integration, elsai for agentic AI, and Scanflow SDK for edge-based visual intelligence, OptiSol created an engineering foundation that connected shop-floor operations with enterprise systems while introducing automation into critical decision points.
The GCC model brought together specialized engineering capabilities across data, AI, edge vision, and mobile development. This allowed the organization to modernize targeted manufacturing processes while maintaining continuity across its production environment and creating a foundation for further AI-led manufacturing use cases.
FAQs:
How did OptiSol connect shop-floor systems with enterprise platforms?
OptiSol used iBEAM to normalize shop-floor data and establish secure, real-time connectivity between manufacturing systems, MES, SAP, and enterprise workflows.
How did elsai agents automate component validation?
elsai agents validated component configurations, identified incorrect assemblies against defined rules, and triggered EAM or CMMS work orders when intervention was required.
How did Scanflow SDK improve shop-floor data capture?
Scanflow SDK enabled offline OCR and barcode capture on standard Android devices, improving serial number accuracy while reducing reliance on dedicated scanning hardware.
How did the solution integrate with MES, SAP, EAM, and CMMS systems?
iBEAM connected shop-floor data with MES and SAP, while elsai-enabled workflows supported validation and triggered relevant EAM or CMMS actions.
How did OptiSol modernize manufacturing workflows without disrupting production?
OptiSol used specialized engineering pods to introduce data, AI, edge vision, and mobile capabilities alongside existing operations, supporting continuous production.
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