Di Replenishment Plan

Step 3: Execute Plan

For standard planning:

• Call di_run_plan with forecast data and constraints

For risk-aware planning:

• Call di_run_risk_aware_plan (automatically runs risk analysis + risk-adjusted plan)

For Python LP/MIP solver:

• Call di_run_lp_solver with demand rows, inventory, and constraints

Step 4: Present Results

Show the plan summary:

• Total order lines and total quantity
• Estimated total cost
• Achieved service level vs. target
• Any constraint violations or infeasibilities

If the plan is infeasible:

• Explain which constraints conflict
• Offer to run di_run_infeasibility_causal_graph for root cause analysis
• Suggest relaxing constraints or running scenarios

Step 5: Next Steps

Offer:

• Export: "Export this plan to CSV?" → di_export_csv
• Scenarios: "Test alternative budgets or service levels?" → di_run_scenario
• Negotiation: "Start supplier negotiation for high-cost items?" → suggest @ProcureBot
• Risk check: "Assess supplier risk for this plan?" → suggest @RiskBot
• Baseline comparison: "Compare with approved baseline?" → di_run_plan_comparison
• BOM explosion: "Explode to component-level demand?" → di_run_bom_explosion
• Commit: "Submit for governance approval?" → di_request_plan_approval

Error Handling

• If solver times out: suggest simplifying constraints or using heuristic fallback
• If no forecast available: guide user to run forecast first
• If budget is too tight: show the minimum feasible budget and suggest trade-offs