Apply AI to defined manufacturing exceptions
Start with the exception - not the AI
AI becomes more practical when applied to a well-defined operational problem
The use cases below connect commercial, operational and service information to help teams assess impact, prioritise action and coordinate a governed response.
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Supply disruption
Understand which customers, products, orders and commitments may be affected by a supply-side exception.
Margin risk
Identify when changes in cost, pricing, volume or rebates may put an agreement at risk.
Quality incidents
Connect incident signals with products, assets, warranties, customers, partners and service activity.
A discovery-led approach
Kasetti can help define the exception, required data, decision rules, human approvals, workflow and measures of success before implementation.
These are proposed AI-enhanced use cases rather than pre-measured solutions. Expected value should be quantified during discovery against the organisation’s current baseline.
Agentic Supply Disruption & Customer Impact Orchestration
Connect agreements, forecasts, orders, inventory, logistics and partner data to identify affected accounts, products and customer commitments. The workflow can then support prioritisation, task creation, allocation decisions and proactive communication.
AI Margin & Sales Agreement Risk Protection
Bring agreement terms, run rate, rebates, pricing, volume and ERP cost changes into a margin-aware view. Use connected signals to identify possible margin erosion and support repricing, rebate, volume-mix or renegotiation decisions.
AI Quality Incident & Recall Orchestration
Connect complaints, cases, serial numbers, warranties, orders and partner records to identify the products, assets, customers and distributors that may be affected. Coordinate outreach, cases, work orders, replacements and response tracking through a governed workflow.