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Inventory coverage

Inventory coverage is the daily question every business analyst answers: which SKUs are at risk of stocking out in the next N days, and what should we do about each one? Done manually, it's a spreadsheet hell — pull inventory levels, layer in demand forecasts, cross-reference open POs, identify the gaps, draft supplier emails, chase commitments, update the ERP. Done well, the analyst walks in to a triaged queue: the urgent items already escalated by Athena, the moderate items proposed for review, the routine items auto-handled overnight.

This use case shows the well-done version: the Business Analyst supervises Supply Planner and Supply Assurance running in Employee mode against the live data, intervenes where the agents flag for review, and the working day starts with most of the coverage work already done.

Cast​

RoleFeaturePersona
The supervisorStoryboards, agent audit logsBusiness Analyst
The replenishment proposerSupply Planner agent(runs autonomously, Employee mode)
The exception handlerSupply Assurance agent(runs autonomously, Employee mode)
The signal-surfaceAI Insights(runs continuously)

Prereqs​

  • A configured subject area covering inventory, demand forecast, open POs, and supplier reliability scores.
  • Both agents activated with administrator-configured guardrails: auto-approve PO threshold, supplier-contact whitelist, role-based authorization scopes, hard limits on order-window extension. See Why ConverSight → Controlled Autonomy for the framework.
  • A coverage Storyboard built for the team: at-risk SKUs, current coverage days vs. target, autonomous-action audit log feed.

Walkthrough​

1. Overnight: the agents work the queue​

While the Business Analyst is offline, Supply Planner runs a continuous coverage scan against the live forecast. Replenishment proposals get generated per SKU; those above the auto-approve threshold (e.g., POs under $25k from preferred suppliers) flow straight to the ERP; the rest queue for review.

Supply Assurance monitors open POs in parallel. POs more than N days overdue trigger supplier outreach within the approved contact list. New commitments get written back to the ERP. Anything that hits a guardrail limit (e.g., order-window extension > 5 days, supplier tier 3) escalates instead of auto-acting.

Every action is logged with full context: what was detected, what was decided, what was executed, what was the outcome.

2. 6am: the day briefing​

A scheduled AI Briefing compiles the overnight activity: how many autonomous actions completed, how many escalations are waiting for human review, what the current coverage picture looks like. The briefing hits the Business Analyst's inbox before they sit down.

3. 9am: the analyst reviews the queue​

The Business Analyst opens the coverage Storyboard. The top section shows the autonomous-action audit log: "overnight: 142 replenishment proposals auto-approved, 23 escalated for review, 8 supplier commitments updated in SAP."

They work the escalation queue:

  • For each Supply Planner proposal in the queue, Athena shows the rationale ("Athena recommends X because of Y") and an approve / modify / reject control. The planner reviews the reasoning, approves the ones that look right, modifies thresholds where they don't.
  • For each Supply Assurance escalation, the planner sees what the agent tried, what supplier response was received, and what's recommended next. They make the call on whether to authorize the next step.

4. Through the day: ad-hoc coverage questions​

The analyst uses AI Assistant for one-off questions: "which SKUs went below safety stock since yesterday?", "what's our coverage forecast for the EMEA region next week?" Athena answers grounded in the same live data the agents are reading from.

5. End of week: guardrail tuning​

Once a week, the Business Analyst reviews the autonomous-action audit log holistically. If too many proposals landed in the review queue, thresholds are too tight. If too few hit guardrails, thresholds may be too loose. They adjust in AI Studio — and the agents adapt automatically.

What "done" looks like​

  • The ratio of agent-handled actions to human-reviewed items shifts toward autonomous handling over time — a sign the guardrails are well-calibrated.
  • Stockout rate trends down. Coverage-days-vs-target trend stays at or above target.
  • Suppliers honor more of their auto-negotiated commitments (Supply Assurance learns which to trust).
  • The Business Analyst spends time on judgment calls and exception handling, not on the routine work.

Variations​

  • Single-DC operation. Same shape, simpler scoping. One coverage Storyboard, one queue.
  • Multi-DC + multi-region. Each Business Analyst owns their region's queue; the Storyboard filters by RLS scope. Headquarters sees the aggregate.
  • High-velocity ecommerce. Tighter auto-approve thresholds, faster cycle times. Supply Assurance may handle 80%+ of routine reorders autonomously.
  • Heavily regulated (defense, pharma). Looser autonomous limits, more human-in-the-loop. The audit trail does extra work for compliance reporting.

Troubleshooting​

SymptomLikely causeFix
Too many proposals in the review queueAuto-approve threshold too tightLoosen the threshold in AI Studio (e.g., raise the value cap or add suppliers to the preferred list)
Agents auto-approve items that should have escalatedThreshold too loose, or supplier-tier rules misconfiguredTighten the threshold; verify the supplier-tier mapping is current
Supply Assurance can't reach a supplierContact not on the approved listAdd the contact in the approved-supplier-contacts configuration
The audit log shows missing entriesAudit-trail write failedCheck the platform health dashboard; escalate to Workbench admins if persistent
Coverage Storyboard charts blankInventory or forecast refresh failed overnightCheck Data Sync for failed runs
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