连接与治理
接通你的系统、政策与知识，让 AI 在你的规则之内工作，而不是绕过它们。
/ Operations & Automation /
See disruptions before they see you.
AI that monitors your supply chain in real time, predicts disruptions and recommends actions — so you respond before customers feel the impact.
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.
How it works
从信号到成果——治理内置
自动化与辅助
让工作流上线：分流、起草、解决或升级，全程带完整上下文与审计追溯。
度量与改进
跟踪运营 KPI、质量与风险——再和你的团队一起调优剧本。
流程序列会适配你的工具、渠道与风险态势。
See disruptions before they see you.
What's included
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.
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Results
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
Orientative — confirmed in discovery; depends on the starting point.
+25%
Improvement in demand forecast accuracy vs. statistical baseline
Orientative — confirmed in discovery; depends on the starting point.
–45%
Reduction in out-of-stock events with AI-driven reorder triggers
Orientative — confirmed in discovery; depends on the starting point.
How we work
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.
Go deeper
Supply chain resilience and AI
Ideas, trends, and tools to stay ahead
Get started
Ready to scope this for your context?
We start with a focused session—no commitment—to map constraints and a sensible path.