Dema
Use case

Inventory intelligence

An agent that connects inventory forecasts to marketing spend — so you stop advertising what you can't sell, and start moving what's sitting in the warehouse.

Which products will stock out while still running ads?

User

Which products will stock out in the next two weeks while still running ads?

Trusted by leading brands

The problem

Marketing and inventory live in different worlds

Ad platforms don't know your stock levels. Your ERP doesn't know your ad spend. The result: budget wasted on products about to sell out, and slow movers sitting in warehouses with zero exposure.

How Ridestore used forecasts to scale across 30+ markets

Our collaboration has been nothing short of a revolution. Dema's solution is now the beating heart of our operation.

Elin Glommen · CEO, Ridestore
Dema

How Ridestore used forecasts to scale across 30+ markets

−10%

Lower CAC

17%

Gross Margin 3 growth

30%

Bottom line growth

With seasonal demand spikes across 30+ markets, Ridestore needed precision. Dema's AI-driven inventory predictions helped them avoid overstock and stockouts — saving costs and ensuring product availability — while real-time dashboards gave full visibility across sales, inventory, and marketing data.

Read the full story

Sell-through forecasts

ML-powered predictions for every SKU, category, and warehouse. Know which products will sell out, which need markdowns, and which need more exposure.

Stock vs. exposure

See which products have high ad spend but low stock — and which have plenty of inventory but zero impressions. One view that connects marketing to the warehouse.

Automated exclusions

The agent identifies stockout-risk products and pushes exclusions to Google, Meta, and TikTok — before you waste another euro on out-of-stock ads.

Forecasting built in

Predict sell-through before it's too late

Daily forecasts for orders, inventory, and revenue — available as regular metrics in every dashboard. Plan buys, time markdowns, and allocate marketing spend with confidence.

CM3 forecast

4-week forward forecast for Contribution Margin 3 based on current spend trajectory and seasonal patterns.

68k
W10
72k
W11
65k
W12
78k
W13
82k
W14
85k
W15
88k
W16
91k
W17
Actual
Forecast
Predicted CM3 (4w)
€91,200+12%

Automated actions

Exclude at-risk products from ads automatically

The agent cross-references stockout probability with active campaigns. Products predicted to sell out get excluded from Google, Meta, and TikTok — and re-included when stock recovers. No manual exports, no stale feeds.

Excluded from ads3 products
GoogleMetaTikTok
ProductROASMarginStockStatus
Linen ShortsLS-2840
0.8×-2.1%142Excluded
Canvas ToteCT-1104
1.1×-0.4%38Excluded
Sandals XLSX-0912
2.4×8.2%3Excluded
How Aim'n turned Black Friday into a profit engine

Black Friday has always been a key period for us, but this year we outperformed expectations. Dema's platform allowed us to turn data into action and maximize both revenue and profitability.

Robin Mostacero · CEO, Aim'n
Dema

How Aim'n turned Black Friday into a profit engine

123%

Gross Profit 3

+93%

Gross Margin 3 growth

Facing Black Friday, Aim'n needed to avoid stockouts, minimize overstock, and boost gross profit. With Dema's real-time demand forecasting, top-selling items stayed in stock while lower-performing products were deprioritized. Product-level insights let them spotlight high-margin SKUs in Meta Ads without triggering learning phases.

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Product segmentation

Segment by stock, margin, and velocity

Build product sets that combine inventory metrics with performance data. Slow movers with high margin? Push them to feeds. Fast sellers running low? Exclude from ads. Rules update as data changes.

Product segment rules

Define conditions to group products. Matching products update as data changes.

Conditions

No rules defined yet

Inventory-aware rules

Combine sell-through rate, days of cover, and stock depth with margin and return rate. Segments stay current as inventory moves.

Custom label sync

Push product segments to Google and Meta feeds as custom labels. Campaigns automatically bid on the right products.

Move slow movers

Identify products with high margin but low sell-through. Increase their exposure in paid channels to clear inventory profitably.

Dema has been a game-changer for our brand. It's given us the clarity and control we needed to scale profitably, ensuring we make the right decisions across inventory, marketing, and product strategy.

Jorge de Castro

Jorge de Castro

COO, Mikuta

Read story

Frequently asked questions

Dema's forecasting models use historical sales, seasonality, and trend data to predict sell-through at the SKU level. Forecasts update daily and are available as regular metrics in dashboards — so you can plan buys, time markdowns, and allocate marketing spend with confidence.

Yes. The agent cross-references inventory forecasts with active campaigns and pushes product exclusions to Google Shopping and Meta Catalog. When a product is predicted to stock out within your chosen horizon, the agent removes it from spend automatically.

You can build product segments using inventory metrics — sell-through rate, days of cover, stock depth — combined with margin, revenue, and return rate. Segments sync as custom labels to Google and Meta feeds, so your campaigns always bid on the right products.

Exclusions are dynamic. When stock levels recover or new shipments arrive, the agent re-includes the product in campaigns. No manual intervention needed — the feed stays aligned with reality.

Absolutely. Forecasts account for seasonal patterns. If you know winter jackets sell through faster in November, the model captures that. You can also set different stockout thresholds per category or market.

An e-commerce backend (Shopify, Centra, Commercetools, etc.) with inventory and order data, plus ad platform connections. Dema builds the inventory model automatically once data flows in. Most teams see forecasts within a week.

Stop advertising what you can't sell. Start selling what you have.