Dynamic Pricing Model

Using Smartmoving's All Jobs report this tool will allow you to dynamically change pricing to maximize contribution margin to increase profits on high demand days, and fill capacity on lower demand days. This is a work in progress. Enjoy!

Pro Mover University โ€” Daily Pricing Manifest

Pro Mover University

Daily Pricing Manifest

Not built to maximize conversion. Built to maximize contribution profit per available truck-day. Upload your All Jobs report below โ€” the manifest recomputes every date live.

1Upload All Jobs Report for the next 1-3 months

Drop file here or click to browse

Accepts: All Jobs export (.xlsx) โ€” identified automatically by its columns.

All Jobs

2Assumptions โ€” edit anytime, the manifest recalculates instantly

DayAdjustment

Applied in tiers, after the demand rate โ€” not a starting price. Demand rate (from truck-hours) โ†’ this adjustment โ†’ part-of-month adjustment (days 26-28 +1 tier, 29-31 +2 tiers, fixed) โ†’ capped to the ladder above.

Ideal truck ceiling = trucks ร— hrs/truck/day = a normal full-capacity day for your business. This is the anchor for every threshold in the demand table below โ€” every bracket's truck-hour breakpoints scale automatically to this number, so the same table works whether you run 4 trucks or 20.

Full fleet size is how many trucks you could flex to on your busiest days, beyond the ideal number you'd normally schedule. It doesn't affect pricing directly โ€” it only feeds the capacity gauge and the Projected Revenue & Recommended Movers panel below. Trucks committed is tracked but not used to decide pricing โ€” a truck reused for two jobs in one day can look like two trucks in this data.

To pace toward a specific revenue goal (e.g. "$550k for July"), track booked-vs-target in the Goal panel below as the month goes and nudge base rates if you're behind pace โ€” it displays pacing but doesn't drive recommendations.

Decision table: price is driven by truck-hours only, bracketed by days-out โ€” see the reasoning on each date for the exact breakpoints used, scaled to your ideal ceiling.

Data hierarchy: truck-hours come from All Jobs and drive pricing ยท revenue also comes from All Jobs (Total Estimated/Actual Cost, split across every day a job spans) and is shown for reference only ยท job count comes from All Jobs too (counts against every date between Job Date and End Date).

From to
Scarcity / $208 Raise Hold Lower
Date
Days out
Revenue
Truck-hrs
Jobs touching
Demand
Recommended
Recommendations are a starting point, not a rule โ€” always sanity-check scarcity days and anything inside 3 days out before publishing a rate change.