Large Industrial Manufacturer
Enterprise Optimization Platform Solves Large-Scale Industrial Challenges
No Scalable Platform Existed Internally to Handle Diverse Large-Scale Optimisation Challenges
The client required a scalable, efficient, and secure platform capable of optimising diverse industrial problems while maintaining business rule compliance across complex operations without sacrificing speed.
Optimus 4.0 Deployed in the Client's Cloud with SDKs for Third-Party Solution Builders
Blindspot architected and deployed Optimus 4.0, an enterprise software platform using advanced optimisation algorithms. Installed in the customer's cloud environment with SDKs enabling third-party developers to build and deploy custom solutions on top of the platform.
A Scalable Enterprise Platform That Solves Complex Industrial Problems Within Minutes
The manufacturer now operates a scalable enterprise platform enabling them to solve large-scale industrial optimisation problems — guaranteeing business rule compliance, enabling fast prototyping, and handling complex resource and asset scheduling.
More Case Studies
Hyundai Saves $540K Annually with Optimized Production Scheduling
Smart scheduling algorithms eliminated paint shop inefficiencies and welding bottlenecks across a 1,400-vehicles-per-day production line, delivering $540,000 in annual savings with a 3-month ROI.
AI Production Planning Enables $1.9M Annual Revenue Growth at Bednar FMT
After transitioning to line-based manufacturing, Bednar FMT replaced hours of manual planning with a system that evaluates millions of scenarios in seconds — enabling one planner to do the work of three and unlocking $1.9M in additional annual demand.
Automated Inspector Scheduling Reduces TÜV SÜD Planning Team by 33%
Managing inspector dispatch across multiple China hubs via Excel was no longer viable at scale. Blindspot replaced the fragmented process with a centralised scheduling platform, cutting the scheduling team from six to four and handling peak seasons without bottlenecks.
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