Draft replenishment orders from sales velocity

Why use this

1. A retailer can see rising sales and still order the wrong amount if stock on hand, incoming purchase orders and supplier pack sizes are considered separately. A recent promotion may also make short-term demand look more durable than it is.

2. This job could make replenishment assumptions visible beside each proposed supplier line. A buyer could then compare stock risk with cash and storage constraints, reviewing exceptions instead of accepting an unexplained reorder quantity.

Why an agent / simpler alternative

Useful judgment

Interpret demand changes and explain exceptions across product, inventory and supplier records.

Simpler alternative

Use inventory reorder points when demand is stable and lead times are predictable.

Unsuitable when

Stock records are unreliable or the supplier terms and purchasing authority are unresolved.

Proposed inputs

1. Name

   Demand and inventory snapshot

   Owner

   Retail operator

   Minimum scope

   SKU-level sales, returns, available stock and open purchase orders

   Quality check

   Use one cutoff time and distinguish reserved from sellable stock.

2. Name

   Supplier rules

   Owner

   Purchasing owner

   Minimum scope

   Lead times, minimum quantities, pack sizes and approved price references

   Quality check

   Confirm units and flag uncertain delivery estimates.

Access and setup — proposed or unknown

Proposed minimum

1. Read scoped sales and inventory exports; calculate proposals without placing orders.

Compatibility unknowns

1. Unknown: Shopify/QuickBooks field mapping, current connector support and inventory freshness.

External actions requiring approval

1. Submitting orders, changing stock records or committing funds to suppliers.

Expected deliverable and review checks

Proposed artifact

Replenishment draft with SKU, quantity, unit, supplier, assumptions and exception reasons.

Critical checks

1. Incoming inventory and returns are considered without double counting.

2. Pack-size rounding and promotional demand adjustments are explicit.

Missing output evidence

This overlay adds no new output inspection or execution validation. Preserve the canonical implementation evidence and its outcome limits.

Failure signals and proposed responses

1. Signal

   A one-day promotion drives the suggested quantity.

   Why it matters

   The retailer may overstock after the campaign ends.

   Proposed response

   Show baseline and promotion-adjusted scenarios and request buyer selection.

2. Signal

   An open purchase order is missing from the stock calculation.

   Why it matters

   A second order can duplicate inventory already on the way.

   Proposed response

   Reconcile expected receipts and hold affected lines until the discrepancy is resolved.

Effort and cost — unknown

Setup work

1. Align SKU identifiers, stock definitions and supplier ordering units.

Ongoing review

1. Review lead-time changes, outliers and delayed receipts.

Unknowns

1. Unknown: inventory synchronization costs, supplier charges and forecast error.

First check — proposed, unexecuted

Status

proposed_unexecuted

Synthetic fixture

Synthetic data includes a promotional spike, an incoming shipment and a product sold individually but purchased in packs of twelve.

Acceptance checks

1. The receipt reduces the proposed need.

2. Pack rounding and the promotion assumption are visible for review.

Stop conditions

1. Live purchasing, invented lead times or unsupported price commitments become necessary.

Limits

1. Proposed reorder logic is a decision aid; the referenced recipe does not establish forecast accuracy.