AI agents that actually understand your supply chain
Convect’s planning agents catch disruptions, trace their impact and re-optimize your plan in minutes — grounded in a live model of your operations and powered by real optimization, not guesswork. Your planners stay in control.
Trusted by Unilever, Decathlon, Yili, Geely and Dreame
Trusted by industry leaders across food, consumer goods, retail and manufacturing
- Less time building plans
90%+
Less time building plans
From hours of spreadsheet work to minutes of automated scheduling
- Lower supply chain cost
15–30%
Lower supply chain cost
Average reduction in operating cost across customer deployments
- To first optimized plan
6 weeks
To first optimized plan
From spreadsheet to agent-driven planning, fastest deployment
- Agents on watch
24/7
Agents on watch
Disruptions picked up and replanned around the clock
Meet your planning agents
A rush order lands. Five agents handle it in under two minutes.
Each agent owns one job — sensing, scheduling, responding, coordinating, diagnosing. Together they turn a disruption into an explained recommendation your planner can approve with one click.
Multi-agent workflow · Rush order
- Demand Sensing AgentWatches demand signals and triggers plan updates when they shift
- Scheduling AgentBuilds the best feasible schedule from live constraints
- Disruption Response AgentReplans around breakdowns, late materials and rush orders
- Coordination AgentKeeps procurement, production and logistics plans aligned
- Root-Cause AgentAnswers “why can’t this order ship on time?”
- How planning agents work
Illustrative scenario with demo data.
Why Convect is different
Most “AI agents” can talk about your plan. Ours can change it — safely.
A language model on its own can summarize a spreadsheet, but it can’t guarantee a schedule is feasible. Convect agents sit on two layers most copilots lack: an ontology that understands your operation, and an optimizer that does the math.
Act
AI Planning Agents
Sense disruptions, decide and act around the clock — within the guardrails you set.
- Rush orders, breakdowns and shortages replanned automatically
- Root-cause answers to “why is this late?”
- Explained recommendations, one-click approval
Understand
Contour Ontology
A live model of your lines, routings, materials and rules — the context agents reason over.
- Entities, relationships, rules and constraints in one model
- Impact of any change traced automatically
- New plants and lines understood the moment they’re added
Solve
Optimization Engine
Mathematical optimization that finds the best feasible plan among millions — in minutes.
- Production, materials, inventory and transport optimized together
- Cost and service trade-offs made explicit
- Incremental re-solves in seconds to minutes
| Generic AI copilot | Convect planning agents | |
|---|---|---|
| Where answers come from | Generated text from a language model | An optimization engine that checks every constraint |
| Knowledge of your operation | Whatever is in the prompt or retrieved documents | A live ontology of lines, routings, materials and rules |
| When something changes | You ask, it summarizes | Agents detect it, trace the impact and replan on their own |
| Can you trust the numbers? | Plausible, but unverifiable | Feasible by construction, with the binding constraints shown |
| Control & audit | Chat history | Autonomy thresholds, approvals and a full decision log |
Autonomy with guardrails
You decide how much the agents decide
Start with agents that only recommend. Widen their authority as trust builds. Every action stays inside the limits you set — and on the record.
Configurable autonomy
Set thresholds by cost impact, orders affected or customer tier. Inside them, agents act; outside them, they ask.
Every recommendation explained
Each proposal shows the binding constraints, cost and service impact, and how it compares with the options it rejected.
Full audit trail
Events sensed, reasoning path, optimization runs and final decisions are all logged — replayable and auditable.
Humans stay in the loop
Planners approve or edit significant decisions with one click, and agents learn their preferences over time.
Solutions
End-to-end planning, one set of agents
Production scheduling at the core, with forecasting, inventory, network and capacity planning on the same model.
Industries
Every industry plans differently
We bring ready-made ontology templates and hands-on experience from each of these industries.
Industrial Equipment
Engineer-to-order projects that actually ship on time
- Plans drift away from project milestones
- Deep BOMs, constant engineering changes
- Long-lead materials surprise you
Electronics Manufacturing
High-mix, low-volume without the scheduling chaos
- Changeovers eat the day
- Alternates and ECOs everywhere
- SMT feeder limits
Precision Machining
Flexible routings, scheduled precisely
- Flexible routings
- Versatile machines, costly setups
- Outside processing
Food & Beverage
Shelf life, allergens and changeovers — handled
- Shelf life is a hard constraint
- Changeovers and cleans add up
- Seasonal swings
Consumer Goods (CPG)
Promotions and omnichannel demand, without the whiplash
- Promotions whipsaw demand
- Every channel behaves differently
- SKU proliferation
Customer results
Proven at global scale
Unilever cuts network inventory by 10%+ at the same service level
For a nationwide, multi-echelon distribution network, Convect combined probabilistic demand forecasting, network-wide deployment optimization and simulation to set the right safety stock for every SKU at every DC — cutting inventory by more than 10% in simulation, with service unchanged.
10%+
Lower inventory (simulated)
Same
Service level maintained
Every DC
SKU-level safety stock
Yili cuts master planning from 5 days to half a day and unlocks 5% more capacity
Asia’s largest dairy company moved sales, production, logistics and procurement onto one planning platform. Optimization replaced rules of thumb — adding 5% total capacity (half a plant’s worth, with no new investment) and cutting line-haul transport costs by millions of dollars a year.
5 days → ½ day
Master planning cycle
+5%
Total capacity, no capex
−17%
Transport cost
Fits your stack
Agents on top of the systems you already run
Convect adds a decision layer on top of your ERP and execution systems. No rip-and-replace, no multi-year data project first.
ERP
SAP, Oracle, Microsoft Dynamics and other ERPs — via API, database or file exchange
MES / WMS / TMS
Execution events feed the agents: work orders, inventory moves, shipments
Spreadsheets
Start from the Excel files you plan with today — no big-bang data project
Your workflow
Recommendations land where planners work, with approvals and a full audit trail
Time to value
From spreadsheets to agentic planning in 6 weeks
Gartner puts the average supply chain planning implementation at around 13 months. We start with one use case and prove value fast.
- 1
Weeks 1–2
Connect your data
Start from your Excel plans or connect your ERP. We load only what this use case needs.
- 2
Weeks 2–4
Model your operation
Industry ontology templates plus your plant’s own rules — validated by replaying your past plans.
- 3
Weeks 4–6
Agents go live
The optimizer produces the plan; agents monitor and replan, starting in recommend-only mode.
Resources
Go deeper
GUIDE
AI Agents for Supply Chain Planning
Guide
AI Agents for Supply Chain Planning
How grounded agents, an ontology and optimization work together — plus a vendor evaluation checklist.
Agentic AI·Nov 2, 2026
Seven questions to ask any “agentic AI” planning vendor
Every planning vendor now claims agents. These seven questions separate agents that can safely change your plan from chatbots bolted onto an old APS.
Agentic AI·Nov 4, 2026
Why LLM agents alone can’t plan your supply chain
Understanding the factory, computing the plan and reacting to change are three different jobs. An agent that only has a language model is missing two of them.
Put a team of planning agents to work
See Convect agents handle a disruption on a scenario from your industry — in a 30-minute live demo.
Live in 6 weeks·Works with your ERP·Human-in-the-loop by design