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[ Manufacturing ]
Outrun the
supply curve

Agentic AI across demand, inventory, S&OP and vendor intelligence — replacing bloated planning, MES and procurement SaaS.

[ Answer ]

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.

[ TL;DR ]
TWO THESIS PILLARS supply chain AI, SaaS displacement on planning stacks
PRACTICE MIX AI-Led Business Ops primary, Enterprise Architecture supporting
GTM AWS co-sell named motion, Anthropic-aligned reasoning
GEOGRAPHIES India FMCG and discrete manufacturing, MEA secondary
PRICING fixed-scope diagnostic, milestone build, outcome-based run
[ Industry POV ]

What's broken in manufacturing — and what AI-native does differently.

WHAT'S BROKEN

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.

WHAT WE DO DIFFERENTLY

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.

[ Pain → outcome map ]

Manufacturing pains, mapped to practice and outcome.

PAIN PRACTICE OUTCOME
Forecast accuracy stuck at 65%; planners override the model anyway AI-Led Business Ops +18 points forecast accuracy via agent-led S&OP
Planning suite costs USD 1.4M/yr, still needs 40 planners AI-Led Business Ops SaaS displacement: 60–70% lower run-rate
Inventory aging across DCs; cash trapped in the wrong SKUs AI-Led Business Ops AI inventory optimization: −22% deadstock
Procurement decisions in spreadsheets; vendor data scattered AI-Led Business Ops Vendor intelligence agent: −9% landed cost
S&OP meetings consume 40 hours/week of senior time AI-Led Business Ops Agent-prepared S&OP: −60% prep time
MES/PLM modernization stuck in vendor lock-in Enterprise Architecture AWS Bedrock-native agent layer above legacy MES
[ What we do ]

Three practices, mapped to this vertical.

01 · PRACTICE
AI-Led Business Ops · primary
Demand forecasting and S&OP agents (FMCG, discrete, process)
AI inventory optimization across DCs, channels, lifecycle
Vendor & procurement intelligence — landed cost, risk, SLAs
Operations copilots for planners, schedulers, buyers
02 · PRACTICE
Enterprise Architecture
Agentic AI implementation partner for supply chain (AWS Bedrock)
Context-engineered agents on top of SAP / Oracle / legacy MES
SaaS displacement — replace [planning suite] with AI workflows
Operational data foundation — Databricks, lakehouse, streaming
03 · PRACTICE
Customer Interactions · selective
B2B distributor and dealer experience agents
After-sales and service-parts conversational support
Field-service and warranty copilots
[ Accelerators & IP ]

Approach, not products.

01
Approach, not product

No manufacturing-specific accelerator yet — context-engineered agents on AWS Bedrock + AI-led ops methodology.

02
Forecasting reference

Reference build for FMCG demand and S&OP, India-tuned.

03
Vendor intel reference

Procurement and vendor agent starter on your ERP.

[ Proof ]

Manufacturing engagements we've shipped.

FLAGSHIP
FMCG India · demand AI

Agent-led S&OP across 1,200 SKUs, festive season tuned.

+18pt FORECAST
Discrete manuf. · vendor intel

Procurement copilot, vendor risk and SLA scoring live.

−9% LANDED COST
Process · planning displacement

Replaced legacy planning suite with agent layer in 16 weeks.

−62% SAAS RUN-RATE
[ Honest comparisons ]

devx labs vs. the alternatives — without the puffery.

DIMENSION DEVX LABS TRADITIONAL SI BUILD IN-HOUSE
Time to first value 6–11 weeks 6–14 months 9–18 months (often longer)
Pricing model Outcome-based + accelerator-priced T&M, FTE-loaded FTE + cloud + tooling — opaque
AI-nativeness Default — Bedrock, Claude, agent-led Bolted-on practice, certifications-led Depends on team — hire risk
Platform breadth Narrow on purpose — three practices Broad — every platform on the menu As broad as your team
Strength of alternative Deep partnerships, regulatory coverage, scale on multi-year programs Full IP ownership, tightest feedback loop, no vendor lock
When NOT to pick us You need a 50-person delivery floor or a 5-year program You have the talent in seat and the patience
[ Partner ecosystem ]
AWS Anthropic OpenAI Databricks SAP-adjacent Snowflake
[ FAQ ]

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.

[ Next ]

Scope a manufacturing engagement.

30 minutes with an architect. No pitch deck — just your stack, your goals, and a sketch of where we'd start.

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