Tom's IT Sandbox

Running Total

Show cumulative demand build over time for each item.

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Executive framing

Executive Summary — Answer First

Decision rule: review this page first, then move to deeper drill-down only when the result is economically meaningful.
  • Use this page to understand cumulative exposure, not just point demand.
  • Running totals are especially useful for long-lead purchasing and build plans.
  • The economic question is how quickly total demand accumulates over the horizon.
SCQA / Context

Situation: item demand unfolds over time. Complication: point-in-time rows do not show cumulative exposure. Question: how fast does total demand build, and when are major thresholds crossed? Answer: track cumulative quantity by item across the forecast horizon.

Issue Tree / Diagnosis
  • Cumulative demand by item over time
  • Timing of procurement and build thresholds
  • Inventory and supply exposure
Analysis & Insights
  • Running totals help planners see when commitments must be made.
  • Items with rapid early accumulation can create cash and capacity pressure.
  • This page is particularly useful for suppliers with long lead times or MOQ constraints.
Recommendations
  • Use cumulative thresholds to trigger buys or prebuild decisions.
  • Review steep cumulative curves with procurement early.
  • Pair this with weekly demand for timing accuracy.
KPIs
  • Cumulative quantity by milestone date
  • Time to 25/50/75 percent of total demand
  • Early-horizon demand share
  • Long-lead item cumulative exposure
Implementation Roadmap
Phase Key action Owner Success metric
1. Review Run the report and isolate the highest-value exceptions. Planning / Operations Material issues identified within one review cycle.
2. Validate Confirm whether the result reflects real business change, timing shift, or data-quality issue. Forecast owner Exceptions explained and documented.
3. Act Translate validated findings into supply, capacity, purchasing, or governance actions. Cross-functional team Action owners assigned with due dates.
Risks, Gaps, and Next Steps
  • Do not treat a statistical exception as a business conclusion without validating the commercial or operational driver.
  • Where economics are missing, pair this page with item margin, lead time, or inventory exposure before escalating.
  • Use the summary line above the grid to confirm row volume; unexpected row counts often indicate filter or data issues.
Analysis output

Data Table

Use the table below to validate the hypothesis, size the issue, and identify the items or periods that need action.