Unified Supply Chain & Manufacturing Transformation
Supercharge Your Operators. Unify Your Plants.
Put AI-powered intelligence directly into the hands of your plant leaders — eliminating data silos and scaling multi-facility production without replacing your legacy systems.
Illustrative output from a sample audit run on the sandbox catalog. Connect your own stack and these numbers become yours.
Get an Operational Audit
Tell us about your plants — we'll reply directly.
A few details up front means a useful first reply instead of a round of back-and-forth email.
See it answer a real question first
Test the Copilot locally in under 60 seconds.
$ claude mcp add --transport http supliichain https://dpx-mcp.vercel.app/api/mcp \
--header "Authorization: Bearer <your-free-token>"Mint a free read-only token and point your AI client at a hosted sandbox catalog. Ask it a stockout or OEE question and watch it call a real tool, no card, no call.
Human Expertise, Augmented by AI Precision
Acquiring new plants or running legacy facilities shouldn't mean drowning your team in fragmented data.
Our platform connects your existing infrastructure into a single source of truth — pairing your plant leaders with an embedded AI Co-Pilot that catches anomalies, automates calculations, and turns raw plant data into immediate, confident action.
Operators Stay in Control
AI Co-Pilots do the heavy data lifting, surfacing instant recommendations while your team retains full oversight.
30-Day Facility Onboarding
Plug legacy software, paper logs, and shop-floor entry points into one unified command center.
Standardized Metrics Across All Sites
Eliminate skewed data and inconsistent reporting with unified OEE, availability, and quality tracking across every location.
Core Operational Modules
Everything a plant leader needs, on one connected layer.
Master Data & Material Tracking
SKU mappings, bill of materials, batch records, and storage thresholds — one source of truth instead of four spreadsheets that disagree.
MRP & Supply Chain Engine
Reorder-point logic, supplier lead-time tracking, and multi-facility production scheduling, tuned to how your plants actually run.
Operations & OEE Tracking
Availability, performance, and quality tracked in real time, with shift handoffs and scrap/rework logged where they happen — the floor, not a spreadsheet.
Maintenance & Reliability
Work orders, preventative maintenance schedules, and unplanned downtime logged against the same asset hierarchy as everything else.
Real models, not marketing
Named models. Scored errors. Backtested, not asserted.
"AI-driven forecasting" is a claim anyone can make and nobody can check. Every SupliiChain forecast names the exact model that produced it and scores its own error against your real history — you never have to take our word for it.
Five named models, not one black box
ARIMA, Prophet, Holt’s exponential smoothing, a trend-and-weekly-seasonality model, and linear regression. An AutoML ensemble backtests every one of them on recent weeks they never saw and picks whichever actually scored the lowest error.
WMAPE, MAPE, and RMSE, on demand
Three distinct, industry-standard error formulas, not one number relabeled three ways. Ask for whichever one your team already reports on.
Backtested against known-correct answers
Every formula in the engine is checked against hand-computed expected values and cross-validated invariants before it ships. Ask us for the results.
What you get
A scannable operational risk matrix, not another chart to interpret.
| SKU | Class | Stockout ETA | Safety stock drift | Trapped capital | Action |
|---|---|---|---|---|---|
| DPX-SKU-014 | A / Z | 9 days | −22% | $0 | Draft PO, VENDOR-01 |
| DPX-SKU-031 | A / X | 27 days | −6% | $0 | Monitor weekly |
| DPX-SKU-007 | C / Z | no near-term risk | +140% | $8,420 | Liquidate / reallocate |
Where we operate
Same operating model, different failure modes.
Live command centers today for e-commerce/DTC, agriculture & biosolutions manufacturing, disaster-preparedness retail, and automotive aftermarket. Multi-facility manufacturing and distribution runs on the same operating model, scoped per account.
Shopify live today; Amazon Seller Central (FBA/FBM) in active development.
Engineered for Scalable Manufacturing Command
The command center your operators deserve.
Unified Data Fabric
Ingest data from legacy ERPs, spreadsheets, and shop-floor entry points into a single, operator-friendly interface — hooks into what you already run, no rip-and-replace.
Embedded AI Co-Pilot
Audits data entry, flags anomalies, and calculates scenario models automatically — while your operator keeps final decision authority on everything.
Full Traceability
End-to-end audit trails for raw materials and finished goods, standardized across sites so an audit doesn't mean three weeks of spreadsheet archaeology.
Built For Growing Networks
Onboard a newly acquired facility or a legacy tool without halting current production — the point of a transformation layer, not a multi-year ERP migration.
Get your link
Enter your email. The key-gen system issues a secure, tier-scoped MCP link instantly.
Connect Claude
Paste the connection command into Claude Code or Claude Desktop and restart.
Run the audit
Send the master playbook prompt. Claude runs the diagnostic and hands back a risk matrix.
Simulated demo. Illustrative prompt and output, not a screen recording.
Inside the MCP server
32 operational primitives your operators already know how to use.
Forecast accuracy scored by MAPE, lead-time variance tracking, SKU rationalization (ABC/XYZ), safety stock optimization, OEE tracking, at-risk stock resolution — the same core analytical toolkit a Director of Operations runs day to day, without the six-figure headcount or the quarter it takes to hire one. The complete tool schema, every argument, every parameter, is visible in the console after you connect.
FAQ
Before you ask.
Do we have to replace our existing ERP, CMMS, or MES?
No. The platform is designed to deploy as a layer over your existing infrastructure, not a multi-year rip-and-replace. It hooks into legacy databases, shop-floor entry points, and manual spreadsheets, then standardizes what comes out the other side. Legacy tools can be deprecated module-by-module once the unified layer proves itself, on your timeline.
Is this running on my real plant data?
Not by default, and we won't pretend otherwise. Every tier currently runs on a full, deterministic sandbox catalog so you can prove the workflow risk-free before connecting anything real. The tool schemas don't change when live data lands, so everything you build in the sandbox carries over.
How does the AI Co-Pilot maintain operator authority?
By design, not by limitation: no automated action executes without a human decision. The Co-Pilot surfaces anomalies, calculates scenarios, and drafts recommendations — your operator approves or rejects every one. Every answer states which tool produced which number, so nothing is a black box.
What forecasting models does it use?
ARIMA (order chosen automatically), Prophet, Holt’s exponential smoothing, a trend-and-weekly-seasonality model, and linear regression. By default an AutoML ensemble backtests all five on a holdout window and picks whichever has the lowest out-of-sample WMAPE for your SKU. Every forecast comes with 80% and 95% prediction intervals and names the model that produced it. You can also force a specific model.
Can this run behind our firewall, on our own infrastructure?
Enterprise customers can run the server on their own infrastructure with a direct ERP connection instead of our hosted endpoint. Talk to us about a dedicated configuration.
We just acquired a new facility — how fast can it onboard?
The unified layer is built for this specifically: a newly acquired plant or a legacy tool can be plugged in without halting current production at any site. A single facility's data ingestion and validation typically fits inside the first 30 days of a rollout.
Anything not covered, email us.
Give Your Team the Command Center They Deserve
Unify your facilities, empower your operators, and scale your operations with total visibility.