See the clock.
Bring demand, stock, location, and remaining time into one decision frame.
Monetai for Perishable Inventory
A controlled pricing decision layer for inventory that loses value by the hour. Move the right units, at the right moment, with a human-approved path to action.
Apricot / chilled
Illustrative decision view — not a live customer result.
01 / The problem
Perishable inventory turns time into a pricing variable. The decision is not simply whether to discount — it is when, where, and how much.
Bring demand, stock, location, and remaining time into one decision frame.
Separate a healthy sell-through window from the moment a markdown becomes urgent.
Keep every recommendation inside the margin, price, and approval boundaries you set.
02 / The decision loop
Monetai is designed to sit beside the systems you already run, making the pricing decision observable before it becomes irreversible.
Customer-approved boundaries, experiment/control logic, and rollback scope stay explicit.
Read the changing relationship between demand, stock, time, and price.
Surface the next price action with its decision context, not a black-box number.
Measure the result against a defined baseline and decide whether to expand the pilot.
03 / Limited release
Start narrow enough to learn. Build a pricing system that earns the right to scale.
Define the first inventory family where timing and price are visibly connected.
Begin with one store, region, or channel so the decision boundary stays clear.
Agree on the review horizon, approval path, and baseline before the first recommendation.
We are opening a limited number of 2026 pilot conversations for operators of time-sensitive inventory.
Request a pilot ↗