Investigate supply chain exceptions.
Compare planning options and their expected impact.
Connect demand, inventory, supply, production, and logistics data with planning rules and constraints. We build an agentic analytics application that uses forecasting, simulation, and optimization models where appropriate to help teams investigate likely drivers, compare planning options, and hand off approved plans and actions to existing execution systems.
Demand, inventory, supply, and production plans do not change in isolation
A forecast revision or supply constraint can change inventory, production, logistics, service levels, and profitability at the same time. When data, planning assumptions, and review cycles are separated by function, teams struggle to assess the combined impact and compare feasible responses.
Demand Volatility
Assess how changes in demand and forecast error affect inventory, supply, and production plans.
Inventory Trade-offs
Compare service level, safety stock, minimum order quantity (MOQ), shelf-life limits, and inventory cost across policy options.
Supply Constraints
Incorporate material availability, production capacity, lead times, delivery commitments, and logistics constraints when reviewing feasible plans.
Profitability Impact
Analyze how planning changes may affect revenue, cost, inventory disposition, and profitability by product and customer.
Start with a high-priority planning decision—not the entire supply chain
We select the initial use case based on the customer’s planning process, data environment, expected value, and practical ability to act on the result.
Demand & Forecast Review
Review forecast bias and outliers, event treatment, the scale of plan changes, and demand risk.
Inventory Policy
Compare safety-stock and target-inventory settings by item and location, together with service levels, inventory rebalancing, and disposition options.
Supply & Production Planning
Compare supply and production scenarios under material, capacity, MOQ, and delivery constraints.
S&OP & S&OE
Bring plan-versus-actual performance, priority exceptions, scenario trade-offs, decisions, and actions into a shared review.
Logistics Cost & Service Impact
Analyze transportation terms, shipment volumes, inventory location, logistics cost, and service impact together.
Planning Operations & Exception Management
Manage planning calendars, data completeness, exception priorities, review and approval steps, meeting materials, and follow-up actions.
Go beyond exception detection to review likely drivers, options, and expected impacts
Use the analytical, forecasting, simulation, and optimization methods suited to the planning task
We do not use an LLM as the calculation, forecasting, or optimization engine. Structured calculations and fit-for-purpose models handle forecasting and constraint-based analysis; the agent invokes the required data and models according to defined procedures and use conditions.
Supply Chain Data Foundation
Organize item, customer, location, bill of materials (BOM), inventory, order, plan, and actual data using consistent definitions.
Business Rules & Knowledge
Structure planning cycles and policies, thresholds, constraints, exceptions, metric formulas, and review criteria.
Forecasting & Statistical Models
Analyze demand patterns and volatility, forecast error, risk ranges, and contributing factors.
Simulation & Optimization
Apply what-if analysis and inventory, supply, and production simulations, using linear programming (LP) or mixed-integer programming (MIP) where appropriate.
Agent Skills
Define procedures for exception analysis and plan review, including conditions for data and model use and validation rules.
Planning Application
Present signals, likely drivers, scenarios, options, evidence, and actions in an interface designed for business review.
Complement existing ERP, APS, and MES systems rather than replace them
Integrate the required SCM data in Snowflake and connect to existing planning and execution systems only where the workflow requires it. Existing data platforms or other analytical services may be used when they better fit the customer environment.
Data Foundation
Organize current and historical data from SAP or other ERP systems, WMS, TMS, MES, and planning systems for the analytical use case.
Planning Integration
Connect APS and planning-tool inputs, outputs, versions, and change history to maintain a consistent basis for analysis.
Execution Handoff
Pass only reviewed and approved plans and actions to execution systems, and track processing status and failures.
Traceability & Feedback
Record analytical evidence, planning changes, and execution outcomes for subsequent planning and policy review.
Validate one planning question with actual data before expanding the scope
Start with one high-priority supply chain planning decision
Tell us about the recurring exceptions and planning decisions, the data and systems in use, and the forecasting or simulation scope under consideration. We will help define the first application use case.
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