Your data. One foundation.
Connect product demand, stock, past promotions and market-level costs.
Set sell-through and margin guardrails, add buyer approval and push approved discounts directly to Shopify. Just describe how you want it to work.
Create our markdown list.
Keep CM2 above 35%.




Used by the teams at
“Dema worked perfectly right out of the box. It's the first tool that truly understands our data from the very first prompt.”
Choose your markets, sell-through targets and minimum CM2. Add buyer approvals and publish approved discounts to Shopify—all by asking.
Full-price winners and margin exceptions stay out of the sale.
480 units · 12% returns
Demand is there. Conversion is lagging and stock covers 11 weeks.
All your commerce data, connected and ready for AI. Dema joins the records, defines your metrics and keeps your apps and agents current.
Your CM2 or GM2 definitions, across countries, markets, currencies and warehouses. Local economics, with one shared view of profit.
Check sell-through and margin on schedule. Prepare the list for your buyers, then send approved discounts to Shopify, Salesforce Commerce or commercetools.
| Product | Proposal | CM2 |
|---|---|---|
| Oat knit | −20% · €96 | 35.7% |
| Linen polo | −25% · €60 | 38.4% |
| Field overshirt | Exclude | 30.8% |
| Wool Henley | Keep full price | 55.8% |
The list is ready in your Dema app, with last year’s offers, demand and margin checked. Buyers decide what reaches the store.
Compare forecast sell-through with the same period last year. Test the discount against stock, expected returns and your CM2 floor. Keep full-price winners out of the sale, and flag targets that need a buyer’s decision.
Connect your data, describe the work and put a reviewed workflow in your team’s hands.
Connect product demand, stock, past promotions and market-level costs.
Describe your markdown app, CM2 floors, protected styles and approval rules.
Let buyers review the list, then publish approved prices to your commerce platform.
Yes. These are examples of what you can create. Describe your own app or recurring job in chat, using your connected data and available tools. Review the result and refine it in the same conversation.
Start by describing the job as you would to a colleague. Ask for the views, metrics and rules you need, review the result, and ask for changes. Your team can create and adjust apps and agents in plain language.
Combine current and forecast sell-through, stock cover, product views, conversion and returns. Compare the same period last year, including the offer, availability and margin. Protect strong full-price sellers and exclude products or collections your buyers want to hold back.
Yes. Describe your market rules, minimum contribution and sell-through targets. Your app can compare discount scenarios using local prices, VAT, product costs, fulfilment and expected returns. If a target cannot be reached within the margin rule, surface the exception for review instead of quietly breaking the rule.
Here, CM2 is contribution after product and fulfilment costs, with expected returns accounted for, divided by net revenue excluding VAT and returns. Marketing spend comes after this at CM3. Align these definitions with your finance team so the app and agent use the same costs and thresholds.
Use your finance team’s CM2 or GM2 definition and set rules by country, market or warehouse. Connect local product and fulfilment costs, VAT and returns. Review prices in each market’s currency, then use a shared reporting currency to compare the whole plan. Warehouse-level stock and costs keep the decision tied to where each product is held and fulfilled.
Build the review around your buying team: named approvers, protected styles and market-specific lists. Keep proposals separate from approved prices. Changes to a discount, margin rule or publishing destination should return the plan for approval before anything reaches the store.
Use the connected platform as the destination for approved discounts. The workflow needs the appropriate write access and mappings for products, markets and price or promotion rules. Confirm the publish setup in your demo; you can also export a reviewed list for your team. Actions on this page only update the illustrative example.
Markdown planning decides which existing stock should go on sale, at what price and in which market. Replenishment decides what to buy again, how much and when. They use the same demand, stock and profit foundation, but lead to different decisions and approval workflows.
See how your product data, profit thresholds and buyer approvals come together in a markdown planning app.
Build with Dema.