Connect the network
Suppliers, lanes, inventory, and orders are modeled as a living graph with lead times and alternates.
The problem
Supply disruptions discovered after the fact
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Disruptions discovered after the fact
Stock-outs, supplier delays and logistics failures surface when customers complain — not when they can still be prevented.
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Demand forecasting built on intuition
Planning relies on historical averages and manual adjustments. Demand signals from external events are ignored until it's too late.
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No single view across the chain
Supplier data, inventory data and logistics data live in different systems. A connected picture requires manual consolidation every time.
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Recommendations nobody acts on
Insights arrive too late or without clear owners. Planners revert to spreadsheets because nothing connects to execution.
运作方式
Sense disruption early—replan with scenarios, not panic
Run scenarios
Demand shocks, port delays, and commodity moves simulate service, cost, and carbon impacts.
Orchestrate response
Recommended buys, expedites, and customer communications are drafted for planners to approve.
Planning horizons and safety stock rules stay under human control.
在干扰发现您之前就发现它们。
包含内容
What you get when you run this with Thinkia
A governed layer across data, workflows, and handoffs—so teams ship safely and scale with metrics.
Real-time supply chain monitoring
Unified view across suppliers, inventory and logistics in a single intelligence layer.
Disruption prediction
Detects early warning signals from external data (weather, geopolitics, supplier news) and internal patterns.
Demand forecasting
AI-enhanced forecasts that incorporate external signals beyond historical sales data.
Supplier risk scoring
Continuous assessment of supplier reliability, concentration risk and financial health indicators.
Automated reorder recommendations
Triggers procurement actions based on stock levels, lead times and forecast demand.
Scenario simulation
Models the impact of disruption scenarios on cost, availability and delivery commitments.
技术提供 Thinkia Synapse
成果
What changes when this runs in production
Results vary by supply chain complexity, supplier data availability and integration maturity.
–65%
Earlier detection and response to supply chain events
+25%
Improvement in demand forecast accuracy vs. statistical baseline
–45%
Reduction in out-of-stock events with AI-driven reorder triggers
合作方式
From spreadsheet planning to sensing and scenarios your planners trust
Network map
Network map
Week 1–2
Nodes, lead times, and constraints are documented; critical paths and single sources are flagged.
Demand & risk signals
Demand & risk signals
Week 3–5
Forecasts, POS, weather, and supplier events are fused with clear confidence bands.
S&OP pilot
S&OP pilot
Week 6–9
One product family runs integrated planning; stockouts and excess are tracked vs baseline.
Network scale
Network scale
Week 10+
More SKUs, regions, and tiers; scenario playbooks feed exec and continuity planning.
ERP and planning tool fragmentation sets integration cost; waves follow planning horizons.
开始
Ready to scope this for your context?
We start with a focused session—no commitment—to map constraints and a sensible path.