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SofIA quick actions

Quick actions are contextual suggestions that SofIA displays automatically based on the active module. Selecting an action causes SofIA to generate an analytical response about the current data without the user having to type a manual question.

For a usage guide, see Working with SofIA.

General behavior

  • Responses are delivered as streaming output (text appears progressively).
  • SofIA supports Markdown formatting in its responses (tables, lists, bold text).
  • The session resets when the application is closed or after 2 hours of inactivity.

Actions by module

Forecast

ActionDescription
Validate adjustmentsReviews whether the manual adjustments applied to the forecast are consistent with the demand history.
Analyze accuracyEvaluates error metrics (MAPE, RMSE, BIAS) for the active version.
Explain the 50/50 RuleExplains the 50/50 Rule and its application in the current forecast.
Detect biasIdentifies patterns of systematic BIAS in the phases or SKUs of the cycle.

Inventory

ActionDescription
Explain factor kDescribes the role of factor k in the safety stock calculation and how it affects the target service level.
Compare policies (Forecast vs RMSE / Dynamic vs Static)Contrasts the available replenishment policies in terms of total cost, fill rate, and service level.
SKUs at riskLists the SKUs whose Net Flow is in the Out of stock, Depleted, or Reorder state.
Analyze replenishmentAnalyzes the suggested purchase orders and their impact on projected inventory.
Note on policy naming

The User Manual (F4) labels one of these actions "VN2 vs RMSE". VN2 is the name of an external competitor, not an AInventory policy. This documentation uses the correct name: Forecast vs RMSE (forecast-based policy versus historical-error-based policy), which is the technically relevant distinction for the user.

KPIs

ActionDescription
Analyze accuracyInterprets Forecast Value Added and precision metrics by phase and version.
KPI trendsIdentifies trends in key indicators across closed cycles.
Problematic SKUsFlags the SKUs with the highest accumulated MAPE or BIAS.

FVA

ActionDescription
Interpret resultsExplains the Forecast Value Added calculated for the selected closed version.
Recommend actionsSuggests adjustments to the planning process based on FVA results.
Identify worst adjustmentsLists the SKUs or phases where human adjustment degraded the forecast relative to the Baseline (AI).