2 competitors dropped below your price in the last 24h
+€1,240/mo estimated revenue
All competitors priced above €235 — room to increase margin
+€860/mo margin gain
Competitor undercut by €15 yesterday — match to protect market share
Protects ~€3,100/mo revenue at risk
Pricing decisions shouldn't be guesswork
Without structured recommendations, pricing managers fall back on instinct, outdated rules or reactive discounting that wears margins down over time.
- No consistent way to decide when and how much to adjust prices
- Matching the cheapest competitor by habit, at the expense of margin
- Missed chances when competitors raise prices or sell out
- Hours spent working out the right price across hundreds of products
- Different decisions from different people for similar products
How Luska's recommendations work
A rules-based pricing engine calculates the price; AI writes the explanation. The price itself is never invented by a language model.
Positioning-aware
Tell Luska whether a product competes on price, sits mid-market or is premium, globally or per category. Recommendations aim for that position rather than the cheapest competitor.
Confidence score
Each recommendation has a confidence score built from how many competitor prices it rests on, how fresh they are, how closely they agree and how much is known about demand.
Approve, adjust or skip
Work through the queue with the mouse or the keyboard, approve in bulk, or skip with a reason. Recommendations can also be scheduled for a later date.
Built-in limits
Recommendations keep at least an 8% margin over cost, move the price by no more than 15% at a time, and respect any MAP and minimum or maximum prices you have set.
Competitor stock and moves
Competitors that are out of stock are left out, and comparison sites are treated as references only, so recommendations rest on real shop prices.
Impact preview
Before applying a recommendation, see the margin before and after and an estimated range for the revenue change, including a downside case.
Uses your sales data
Where you have imported sales history, Luska estimates price elasticity per product and uses it in the recommendation. Without sales data, recommendations work from competitor prices and your costs.
Financial goals
Choose whether you are prioritising margin, revenue, growth or market share, and set a target margin. The priority nudges recommendations in that direction.
Key Benefits
Frequently Asked Questions
Does the AI change prices automatically?
No. By default every recommendation waits for approval. You can approve, adjust or skip each one. Autopilot, available on Professional and above, can apply changes automatically within rules you set; it is off by default.
How is the recommended price worked out?
A rules-based engine uses your current price and cost, competitor prices, your positioning and strategy, any MAP or minimum and maximum prices, and, where available, demand estimates from your sales data. It then applies the built-in limits: at least an 8% margin and no more than a 15% move at a time.
Can I set different strategies for different product categories?
Yes. On Professional and above you can set a pricing strategy per category, for example aiming to be cheapest for commodity items and premium for differentiated ones.
What if I disagree with a recommendation?
Skip it and choose a reason, or adjust the price before approving. Your strategy, positioning and limits are the levers that change future recommendations.
Does Luska use my sales data?
Yes, if you provide it. Import sales history by CSV, enter it by hand, or send it through the REST API (Professional and above). Luska uses it to estimate how sensitive demand is to price for each product.