Use case · retail and e-commerce

every product, every channel.
a price you can explain.

Demand response, competitor prices, seasonal patterns, stock and channel rules in one model. kint proposes prices and replenishment with the best predicted margin inside your guardrails. Merchandisers decide.

prices · this weekone change moves many
The situation

one price change moves many others.

A competitor cuts prices on part of your range. Do you follow? On which products? What does that do to the margin of the products bought alongside, and to the seasonal stock that has to clear? The merchandisers know the market. Weighing thousands of linked prices at once is the part kint takes on.

price effects interact

A lower price on one product changes demand for others. Across a whole range, no spreadsheet tracks these effects.

channels pull apart

Online, in-store and wholesale prices must stay consistent and still fit each channel.

markdown timing is a guess

Too early costs margin, too late leaves stock. The right moment depends on the demand curve.

the response window is short

When a competitor moves, the window to respond is short. Repricing a full range by hand is too slow.

The decisions

what teams bring to kint.

Each decision comes back as a plan, the rule that binds it, and the gap to the best possible plan. A person releases it before it is used.

01 · pricingWhich price per product and channel gives the highest total margin within your rules?
Returns

Prices per product and channel, each with the rule that binds it.

Cross-product effects are in the model. Merchandisers see why each price was set before they release it.

problem type · pricing and bidding

02 · replenishmentHow much of each item do we order, and for which store, as demand shifts with price and season?
Returns

Order quantities per item and store within shelf space, supplier terms and the service level.

Prices and stock are planned in one model, so the plan keeps stock for the promotions it sets.

problem type · inventory optimization

03 · staff schedulingWho works which shift across the stores in peak season?
Returns

Shift plans per store that follow expected footfall, skills, labour law and budget.

Labour law and works agreements are hard constraints. Staff preferences enter as goals.

problem type · workforce scheduling

What changes

today, and with kint.

The people stay the same. They work with a plan that states its own quality and its own reasons.

DimensionTodayWith kint
Pricing cadenceWeekly reviewRe-solved when data changes, released by merchandisers
Cross-product effectsIgnored or guessedPart of the model
GuardrailsChecked by handHard constraints: floors, ceilings, minimum margins
ReasoningA spreadsheetEvery price with its binding rule
How it runs

four steps to the first plan.

Exports from your POS, ERP or e-commerce are enough to start. kint's decision agent drafts the model from the planners' description. In the pilot, kint's forward deployed engineers (FDEs), who work directly with the customer's team, review it with the experts.

01

connect sales and pricing data

POS data, competitor prices, stock levels and margin targets, as your systems export them.

02

learn your market

Demand models learn from your sales history. Merchandisers check them against experience.

03

optimize and review

kint proposes prices and orders per product and channel. Merchandisers review and release.

04

monitor and re-solve

New competitor data or stock changes produce a new proposal, with what changed and why.

Questions

what teams ask first.

Can we set price floors and ceilings?
Yes. Minimum margins, maximum discounts, matching rules and bundle logic enter as constraints. kint optimizes inside them.
How are promotions handled?
A promotion is a temporary change of rules. kint proposes the promotional price, estimates the demand lift and shows the net effect on margin and stock.
Can we start with one category?
Yes. Most teams start with one high-volume or highly contested category, compare the result, then extend.
How does kint know how demand responds?
It learns from your sales history: past price changes, promotions and seasons. Merchandisers review the learned model before it is used.

price the next change with its reasons.

A conversation with kint's FDEs. Bring the decision and its rules, and get a first model planners can read.

Industry
retail and e-commerce
Works with
POS · ERP · e-commerce
Flagship
horizon
Contact
hello@kint.pro