Updated Plan peak-season promotions from actual order history
Build an offer scenario from prior demand while flagging missing cost and stock inputs.
The context
A peak-season plan cannot simply reuse last year's discounts when order pace, product mix and average order value have changed. The operator needs a promotion structure and calendar grounded in current demand, with margin, advertising and inventory gaps made explicit before targets are set.
The Bustly workflow
Bustly compares historical peak periods with current orders, product mix, discounts and refunds, and checks available inventory for anomalies. It proposes threshold offers, bundles, campaign phases and planning scenarios. Missing cost, advertising or stock inputs remain visible assumptions; the plan does not claim a proven return or a configured campaign.
A prompt to adapt
Use last year's peak season and this year's order pace to propose our promotion plan. Review product mix and average order value, suggest offers and a calendar, and provide planning scenarios. Flag missing cost, advertising and inventory inputs before recommending targets.
Adapted from real operating tasks. Customer identifiers and sensitive business details are omitted. The workflows are examples, not promises of business results.
