Loading…
Loading…
Predict demand, optimize inventory, and automate procurement. AI supply chain agents give you visibility and control across your entire logistics network.
What we build
from $247/ month
4 ready supply chain workflows on n8n — set up, hosted and maintained for you. You keep the JSON.
from $2,000one-time
Built for your systems and rules on Claude and n8n. Live in 2–4 weeks with documentation and a walkthrough; maintenance optional from $99/month.
What you get
The 3 outcomes teams name first — measured on the process, not promised in a deck.
Reduce stockouts by 30–50% with AI-driven demand forecasting
Lower carrying costs by optimizing safety stock and reorder points
Automate routine procurement and free up buyers for strategic sourcing
Real deployments
Real outcomes from real builds — not marketing copy.
All case studiesReduction in Spoilage
How a regional food distributor used an AI supply chain agent to optimize inventory rotation, demand forecasting, and cold chain monitoring—cutting spoilage by 35%.
Read deployment →30%Fewer Stockouts
How a 500-employee consumer goods manufacturer used an AI supply chain agent to replace spreadsheet-based planning—reducing stockouts by 30% and excess inventory by 22%.
Read deployment →How it works
3 steps, none of them yours to code.
Use cases
Demand Forecasting (predict sales volume using historical data, seasonality, and market signals)
Inventory Optimization (set optimal stock levels and reorder points across locations)
Shipment Tracking (real-time visibility across carriers with delay predictions)
Automated Procurement (generate POs when inventory hits thresholds, compare supplier quotes)
Supplier Risk Monitoring (track supplier performance, financial health, and geopolitical risks)
Workflows we build
Each blueprint shows the trigger, the steps with the n8n nodes named, the guardrails and an importable template — and what it costs to have us run it for you.
All blueprints| Workflow | Department | Steps | Managed | Custom build |
|---|---|---|---|---|
| AI Demand Forecasting WorkflowEvery Monday, planners open a forecast that is already refreshed with last week's actuals and next month's promotions, with the twenty SKUs whose forecast moved the most listed first and a sentence explaining why. Forecast error measured as WAPE drops — typically by a fifth to a third against the spreadsheet baseline — and the improvement shows up as lower safety stock and fewer expedites. | Supply chain & procurement | 8 | $297/month | $5,000–9,000 one-time |
| Inventory Optimization WorkflowReorder points move with demand and supplier performance. Buyers receive a weekly purchase-suggestion list ranked by stockout risk, with the reasoning for each change. Working capital tied up in slow stock falls while service level on A items rises, and both numbers are on a dashboard every week. | Supply chain & procurement | 8 | $297/month | $5,000–8,000 one-time |
| Logistics Optimization WorkflowEach order is shipped on the cheapest service that meets its date, with the decision logged. Delays trigger a proactive customer message and a carrier claim where the SLA was missed. Carrier invoices are audited automatically against quotes, and the lane-cost dashboard shows where the money goes. | Supply chain & procurement | 8 | $247/month | $4,000–7,000 one-time |
| Supplier Risk Monitoring WorkflowEvery critical supplier has a live score with its history. Procurement gets an alert with a brief within a day of a signal crossing threshold, not at the next review. Backup suppliers are qualified before they are needed, and the board can see supplier concentration and risk by category on demand. | Supply chain & procurement | 8 | $297/month | $5,000–9,000 one-time |
Ready to ship?
Tell us your workflow — we'll send a free scope and timeline within 48 hours. No call needed unless you want one.
Is this for you?
Not quite? Take a look at ai operations & it agent — the closest neighbour.
Background
AI supply chain agents bring visibility and automation to logistics, inventory, and procurement. They forecast demand using historical data and market signals, optimize stock levels across warehouses, track shipments in real time, and automate purchase orders when inventory hits reorder points.
Supply chain disruptions cost businesses billions annually. AI agents mitigate this by continuously analyzing demand patterns, supplier lead times, and logistics data to make better decisions faster. They predict stockouts before they happen, suggest optimal reorder quantities, route shipments for cost and speed, and flag supplier risks. The result: lower carrying costs, fewer stockouts, and a supply chain that adapts to change instead of reacting to it.
Unlike a generic chatbot or manual process, an AI supply chain agent runs autonomously and integrates with your existing tools. Gartner projects that by 2026, over 80% of enterprises will have used GenAI APIs or applications.
Build, buy, or done-for-you
Pick the path that fits your team and timeline. Most companies start with one and grow into the others.
Wire up a ready platform yourself. Best for hands-on teams comfortable configuring software.
We scope, build, and deploy your agent — integrated with your CRM and tools. Best for teams that want it live in days, not months.
See the ROI and cost before you commit — useful for justifying the decision internally.
Prefer to build it yourself?
If you’d rather DIY, these are the tools we’d reach for. Each lets supply chain and operations leaders run an AI supply chain agent without writing code.
| Tool | Best for |
|---|---|
| AI-powered procurement and supply chain management | |
| AI-driven demand planning and supply chain analytics | |
| Real-time supply chain visibility and tracking | |
| Supply chain design and scenario modeling |
We may earn a commission when you sign up via our links. How we recommend tools
Run the numbers first
Put your own volumes in before the call — every calculator is free and needs no sign-up.
FAQ
Yes. Most AI supply chain tools integrate with SAP, Oracle, NetSuite, Microsoft Dynamics, and other major ERPs via API or middleware.
AI forecasting typically improves accuracy by 20–40% over traditional methods by incorporating external signals like weather, events, and market trends alongside historical data.
Ships in days
Tell us your workflow and we'll send a free AI build plan for supply chain and operations leaders — scope, recommended agents, and a go-live timeline — within 48 hours. No obligation.