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Our predictive pricing technology enables e-commerce businesses to set the optimal price for every product and variant, based on demand, inventory, customer behavior, and marketing performance.
Optimize prices. Improve conversion. Increase profitability.
E-commerce businesses often manage thousands of SKUs, variants, and collections. 7Learnings consolidates and analyzes this data in minutes.
Our machine learning models evaluate internal and external signals to forecast the impact of price changes on demand, conversion, revenue, and profit.
Set clear goals such as profit maximization or revenue growth, and our software identifies the optimal prices to achieve them.
7Learnings ensures that prices are continuously aligned with inventory targets such as margin, sell-through, and stock coverage.
By predicting how pricing decisions affect demand and inventory depletion, e-commerce teams can reduce end-of-season markdown pressure and improve overall margin realization.
Sell more at the right price, not later at a discount.
7Learnings brings pricing and performance marketing together in a single predictive optimization engine. We forecast how pricing decisions interact with traffic, conversion rates, cost per click, return on ad spend, and promotional mechanics such as discounts and coupon campaigns.
This enables e-commerce teams to synchronize price changes with marketing activity, optimize discounts and vouchers, improve acquisition efficiency, and increase return on ad spend.
Pricing and marketing stop competing and start working toward the same profit goal.
E-commerce markets are constantly changing; demand, competition, and campaign performance can shift daily or even hourly.
7Learnings updates forecasts instantly when new data is delivered. Optimal prices are recalculated within minutes, enabling you to adapt to market changes quickly and confidently without manual repricing.
Adapt pricing to market shifts with unmatched speed and precision, and without manual intervention.
Customer behavior varies across regions, channels, and audiences. Our models determine price elasticity and demand patterns at the channel level and adjust pricing recommendations accordingly.
When expanding into new markets or platforms, 7Learnings recalibrates optimization logic to reflect local conditions, ensuring profitable growth at scale.
Optimize prices for every channel and region with precision.
Do you have questions? We have the answers.
AI pricing software uses machine learning to predict how online shoppers respond to price changes and recommends optimal prices to maximize conversion, revenue, and profit.
Rule-based pricing reacts to predefined triggers. Predictive pricing forecasts future outcomes before prices change, allowing e-commerce teams to choose prices that optimize results instead of reacting after the fact.
Yes. 7Learnings integrates directly with Shopify, enabling automated AI-driven price updates across products and variants without manual effort.
Yes. AI pricing software is built to optimize pricing across thousands or millions of SKUs and variants far beyond what manual pricing or spreadsheets can manage.
By aligning prices with demand and marketing performance, AI pricing improves conversion rates, reduces unnecessary discounts, and increases return on ad spend.
Most e-commerce companies see measurable improvements in profit, conversion, or inventory performance within weeks of implementation.
No. 7Learnings is designed for fast onboarding with minimal IT effort, and our team supports the entire setup process.
Discover the power of AI in retail optimization with us. Book a demo now and together, let’s dive into how our solution can transform your business.
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