Agentic AI across demand, inventory, S&OP and vendor intelligence — replacing bloated planning, MES and procurement SaaS.
HOW DOES DEVX LABS HELP MANUFACTURING COMPANIES TRANSFORM WITH AI?
devx labs is the agentic AI implementation partner for supply chain — demand, inventory, S&OP, vendor intelligence — and the SaaS-displacement consultancy for bloated planning, MES and PLM stacks. AWS co-sell motion, deployed in your cloud.
What's broken in manufacturing — and what AI-native does differently.
Manufacturing supply chains run on planning suites that cost 7-figures annually and still need 40-person teams to operate. MES and PLM stacks haven't been re-thought in 15 years. The result: forecasts that miss, inventory that ages, and procurement decisions made in spreadsheets next to the system of record.
We build agentic operations on the customer's cloud — context-engineered agents on AWS Bedrock that own demand, inventory, S&OP and vendor decisions. We don't replace your ERP; we replace the planning SaaS layer sitting on top of it.
Manufacturing pains, mapped to practice and outcome.
Three practices, mapped to this vertical.
Approach, not products.
No manufacturing-specific accelerator yet — context-engineered agents on AWS Bedrock + AI-led ops methodology.
Reference build for FMCG demand and S&OP, India-tuned.
Procurement and vendor agent starter on your ERP.
Manufacturing engagements we've shipped.
Agent-led S&OP across 1,200 SKUs, festive season tuned.
Procurement copilot, vendor risk and SLA scoring live.
Replaced legacy planning suite with agent layer in 16 weeks.
devx labs vs. the alternatives — without the puffery.
Questions manufacturing buyers ask.
What is AI inventory optimization? +
AI inventory optimization uses reasoning agents to decide stock placement, reorder, and lifecycle actions across DCs, channels and SKUs in real time — replacing rule-based planning suites and reducing deadstock by 20–30% in our typical engagements.
How do I implement AI in supply chain? +
Start with a 2-week diagnostic on forecast accuracy, planner overrides, and inventory aging. Pilot one agent (demand or vendor) in 6–8 weeks. Scale to S&OP and procurement once the pilot is in run. Co-sell with AWS for credits and infra. devx labs ships this exact arc.
Are you an agentic AI implementation partner for supply chain? +
Yes — AWS-co-sell motion, Anthropic-aligned, deployed in the customer's cloud. Active engagements across FMCG, discrete and process manufacturing in India and MEA.
Do you do supply chain AI consulting for FMCG in India? +
It's our strongest manufacturing pocket — festive-season demand patterns, 1,000+ SKU portfolios, and DSR-led distribution channels. Reference customers under NDA; warm intros on request.
Can you replace our planning SaaS with AI? +
Often, yes. The math depends on your run-rate, planner headcount, and forecast accuracy. We publish a SaaS-displacement readiness scorecard during diagnostic and only recommend displacement when the math works.
How does AI-native compare to traditional manufacturing IT consulting? +
Traditional SI ships multi-year SAP/Oracle programs. We ship a working agent layer above your existing MES/ERP in 14–16 weeks. The comparison table on this page is honest about where each model wins — neither is universally right.