For component manufacturers, process plants, fabricators, and industrial businesses that need smarter production tracking, less manual reporting, and tighter compliance — without disrupting existing operations.
Tools we wire together
OPCLive signal
Every card below is a working pattern we've shipped or scoped for a real manufacturing & industrial client — not a wishlist.
Real-time production dashboards connected to your ERP and accounting system. Whiteboards and spreadsheets retired.
Mobile apps for logging defects, capturing evidence, and raising shop-floor alerts — with an automatic digital audit trail.
Automate GST reconciliation, e-invoicing, and compliance paperwork — accounts focuses on analysis, not data entry.
Vendor onboarding, RFQ, three-way match, and payment workflows on one portal — slashing the PO-to-pay cycle.
Preventive maintenance schedules, downtime logging, and spare-parts visibility — keeping critical assets running and audited.
Mobile-first incident reporting, near-miss capture, and HSE dashboards — turning safety from paperwork into a managed metric.
Wire critical machines into a live data feed — OEE, downtime cause, energy consumption — without ripping out PLCs. Production data becomes a dashboard, not a whiteboard.
Automate state-PCB consent renewals, fugitive-emission logs, and effluent-treatment data. EHS audits move from paper boxes to filtered queries.
B2B portal where your customers see their orders, raise reorders, track shipments, and download invoices — slashing customer-service load and stickying the relationship.
Tools typically used
Zoho OneReactPythonAWSPostgreSQLSAPThese are the workflows that quietly drain margin, staff time, and patience. Every system we build starts from one of these.
Shift supervisors update whiteboards by hand. By the time the MIS report hits the GM's inbox, the data is two days old and partly invented.
Machines stop. Reasons get logged on paper, sometimes. Root-cause analysis becomes a meeting of opinions, not a query against data.
Stock counts diverge across plants. Shortages stop production lines on a Tuesday; obsolete material gets written off on a Wednesday. Both surface in next month's MIS.
GST returns, pollution-control filings, EHS audits — every deadline triggers a scramble across departments. One missed filing, one inspector visit, one bad quarter.
RFQs go out by email. Quotes come back as PDFs. Three-way match (PO ↔ GRN ↔ invoice) happens in Excel. Payment cycles drag and vendor relationships sour.
Defects ship and bounce back as customer complaints. Internal inspection data sits on paper. The pattern that would have prevented this lives nowhere queryable.
Specific, working uses of LLMs and ML in real manufacturing & industrialoperations — not generic “AI-powered” marketing.
Sensor-fed models flagging bearing wear, motor strain, and thermal drift — pushing maintenance from calendar-based to condition-based and slashing unplanned downtime.
Computer-vision models on the line catching surface defects, dimensional drift, and assembly errors in real time — at speeds humans can't match consistently.
SKU-and-plant-level demand forecasts factoring seasonality, customer mix, and lead times — turning purchasing from gut-feel into a model.
An LLM classifies free-text downtime logs into a clean taxonomy, surfacing dominant causes weekly — so improvements target the actual problem, not the loudest one.
Parse vendor quotes from PDFs, normalise them into a comparison matrix, and draft negotiation responses — purchasing focuses on judgement, not data entry.
Generate pollution-control filings, GST returns, and EHS audit packets from source data, with LLM-driven sanity checks before submission.
A four-stage framework with AI capability called out at each step — so you can see exactly where machine learning earns its keep.
We spend time on the floor, ride along on a shift, and audit your ERP and quality stack. You leave with a written plan covering production visibility, inventory, and compliance gaps.
AI-assisted analysis on the last 90 days of production logs and downtime entries.
We ship the highest-value workflow first — usually unified inventory or shop-floor OEE dashboards. Live in one line or one plant, with operators and supervisors using it daily.
LLM-bootstrapped data model, seed reference data, and ERP integration scaffolding.
Plant-by-plant rollout with operator training, parallel-run, and integration with existing ERP / accounting. We're on the floor during cutover, not on a Zoom call.
Auto-mapping of legacy spreadsheet data into the new schema during migration.
Monthly review of OEE, scrap rate, on-time delivery, and inventory accuracy. Quarterly tuning of forecasting and predictive-maintenance models against fresh data.
Anomaly alerts on production drift, quality slips, and inventory variance.
Every system we ship comes with the controls and audit surface your inspectors will ask for — designed in from day one, not bolted on later.
Native e-invoice generation, e-way bill creation and extension, and reconciliation against GSTR-2B — built into the order-to-cash and procure-to-pay pipelines.
Quality, environment, and safety processes captured with the audit trail and document control these standards require — making certification reviews routine, not a fire-drill.
State PCB consent renewals, fugitive-emission logs, and effluent-treatment data tracked with expiry alerts. Compliance shifts from year-end panic to calendar.
Worker records, statutory deductions, and factories-act compliance (registers, leave, hours) captured with audit-grade evidence — supporting both internal HR and inspector visits.
Concrete scenarios, scoped from real conversations. Each one is a pattern we'd execute on day one.
Tell us where you are. We'll scope it, estimate it, and walk you through exactly how we'd approach it.
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