The reliable spine
The reliable spine is the floor workflow: job-card and routing, material-issued-versus-output reconciliation, a job-work register that reconciles, and a tool master with strokes counters and refurb-due alerts, all deterministic.
Auto Components & Ancillary
Production and job-work operations
What is on the floor lives in one supervisor's head and a paper job-card; nobody can say where an order has reached without walking the shop. Material issued against a job is not reconciled to output, so scrap, pilferage and yield loss hide. The biggest in-plant leak is different by process: foundry (rejection by pattern, grade, heat, shift), forging (material yield, die-life), stamping (blank yield, progressive-die health), moulding (cycle time, regrind). Costing per job is an after-the-fact guess. Job-work sent out (machining, plating, heat-treat) leaves on a register that does not reconcile. Dies and moulds are lakhs-to-crores assets with a finite life and a per-part cost almost nobody tracks, so refurbishment happens reactively after a die cracks mid-run, and real tooling cost never enters the quote.
Who has it
Across all segments; signature for the forging and casting units, on scrap by pattern, grade and heat and on die-life, and the rubber, plastic and wiring-harness makers, on cycle time, regrind and line tracking; lightly the Tier-2 and Tier-3 job-shops, on stamping dies.
What we build
A job-card and routing workflow, material-issued-versus-output reconciliation, a job-work issue-and-receipt register that reconciles, and floor capture of stage and cost. The scrap layer clusters rejection by the variable that actually drives it for that process. A tool master with a strokes and cycles counter, refurb-due alerts, and a tool-cost-per-part figure that finally puts real tooling cost into quoting.
What is automated, where AI helps, who signs off
Automation for the routine. A person on every decision that matters.
Where AI helps
AI is limited to clustering rejection by the variable that actually drives scrap for that process and reading floor dockets into the record; it never books output, schedules a refurb or sets a tool-cost figure on its own.
Who signs off
A named person signs off anything touching money, stock, a customer promise, a regulated filing, a payment, a price, a credit decision or a people decision.
What changes day to day
The owner sees what is in process and where without walking the floor; material reconciles to output so scrap and pilferage surface; the worst scrap patterns surface quickly; refurbishment is scheduled before failure, tool cost enters the price, and a crore-asset stops cracking mid-run. Illustrative example: a casting house in south India digitised rejection capture, clustered scrap by pattern, grade and heat, and corrective action cut scrap on the worst patterns by about a quarter in the first few months. Illustrative; final numbers come from your own data.
Illustrative outcome
The owner sees what is in process and where without walking the floor; material reconciles to output so scrap and pilferage surface; the worst scrap patterns surface quickly; refurbishment is scheduled before failure rather than after, tool cost enters the price, and a crore-asset stops cracking mid-run. Illustrative example: a casting house in south India digitised rejection capture, clustered scrap by pattern, grade and heat, and corrective action cut scrap on the worst patterns by about a quarter in the first few months. Illustrative; final numbers come from your own data.
Illustrative; final numbers come from your own data.
Path to the build
How this one gets built.
Book a free 60-minute call, then a free Blueprint on the firm's own records. Deep-dive and build, followed by run and govern so the workflow keeps paying back.
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What tends to pair with this one.
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