Dynamic Pricing That Can Explain Itself
An explainable pricing engine for 75 cabins, lodges, and treehouses — every price traceable to the exact chain of rules that produced it, with a dry-run safeguard before anything reaches a guest.
Amish Country Lodging is 75 listings, each needing a price for every night of the next year — and the right answer moves constantly: a holiday week isn't a random Tuesday, a Saturday isn't a Wednesday, a lone open night between two bookings is worth less than one that starts a wide-open week.
Pricing that by hand is a full-time job. Automating it risks the opposite failure: software that spits out a number nobody can explain. When a guest books at $219 and the owner asks why, "the algorithm said so" isn't an answer.
We built Pricey Pro around one non-negotiable requirement: every price has to be able to explain itself.
- A pricing pipeline where every stage writes down its own work — base price, then seasonality (recurring date-range factors like fall foliage weeks), then day-of-week demand, then customization rules (percentage and fixed adjustments, gap-night discounts, far-out-date premiums, calendar-fullness tiers), then safety-rail clamps at a floor of 30% of base and a ceiling of 10x.
- Every step is persisted per night, per listing — hover a date on the calendar and see the whole chain: what the base was, which season touched it, which rules fired, what got clamped.
- Rules live at three scopes — account, group, listing — with the more specific scope winning, so a weekend premium set once at the account level can be overridden for one group or pinned for one cabin without reconfiguring all 75 listings by hand.
- Every listing has a push mode — off, dry-run, or live. Dry-run computes and logs the full payload without ever writing it, and the live write path only fires when a global environment kill-switch is enabled alongside the listing's own flag — two independent keys, so no single mistake can publish prices by accident.
- A scheduled watchdog runs the whole loop daily — import new reservations, recompute every calendar, publish for listings that are live — so prices stay current whether or not anyone logs in.
- The pricing engine is covered by 177 offline unit tests plus golden-fixture regression files, so a refactor of the pipeline shows instantly if any night's price moved when it shouldn't have.
The Stack
75
Cabins, lodges, and treehouses priced automatically, every day
Every price
Explains itself — the full chain of seasonality, demand, and rules behind it
177 tests
Plus golden-fixture regression checks on the pricing engine
Two keys
Dry-run and a global kill-switch both required before any price goes live
“Dynamic pricing isn't magic; it's a few dozen legible decisions applied consistently to thousands of nights.”
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