Discover the potential profit uplift that our predictive pricing solution can bring to your business.

Why does sunscreen cost more in summer?

Because smart retailers know when and how to price for demand. Do you?

7Learnings helps retailers like you to set profit-optimal prices for all your products. Trusted by top companies:

+10%

profits & revenues

80%

reduction in manual work

20x

faster pricing optimizations

Sunscreen prices increase by 20–30% during summer

  • The most expensive month to buy sunscreen is July, and the cheapest is in February

  • In the US and Europe, Nielsen and Euromonitor have tracked price lifts of up to 35% for top sunscreen SKUs during July.

  • A 2022 Statista report found that SPF 50 products increased by around 25% in average price from April to July.

  • Retailers using predictive pricing capitalize on demand shifts like this to increase profits by 10% on average

  • AI-powered models outperform rule-based pricing in every season

Why is predictive pricing so important?

In today’s fast-paced retail environment, finding the optimal price for products is essential for staying competitive as a retailer. Factors like seasonality, competition, and inventory levels all play a crucial role. The sheer amount of data to consider, from vast product assortments to rapid market changes and the ease of price comparison online, makes manual pricing strategies insufficient. In order to avoid being outperformed by the competition, retailers have to respond to this dynamic market environment and quickly adjust prices to its ever-changing conditions.

Manual pricing can’t keep up with the dynamic nature of today’s market. By leveraging machine learning algorithms, advanced pricing solutions utilize all available data to ensure your prices are always optimized. Embrace predictive pricing to stay competitive, profitable, and efficient.

How can 7Learnings help you optimize your pricing?

7Learnings offers an intelligent SaaS solution for optimizing your dynamic pricing. Our software uses advanced machine learning technology to predict revenue and price elasticity. The algorithm takes all relevant data into account and evaluates it in order to identify current demand and price elasticity drivers for your entire assortment, optimizing sales and revenue for each individual product.

The software accurately forecasts sales, revenue and profits. With just one click, our customers can generate market-based prices designed to maximize target sales while taking restrictions like current inventory into account. 

Your company’s unique pricing strategy and pre-defined KPIs are used to set up the algorithm so that you can maximize profits, expand your market share, and strengthen your company brand. Automating prices saves you time and frees you up to focus on more exciting tasks.

Trusted by Industry Leaders

Discover our successful clients

Fashion Retailer Tamaris Achieves 5% Reduction in Discount Rate Leveraging 7Learnings & Tradebyte

Learn how Tamaris combined Tradebyte’s market penetration capabilities with 7Learnings’ price optimization functionalities to achieve its business goals.

Fashion Retailer INTERSPORT Krumholz: +118% profit

Fashion retailer InterSport Krumholz achieves a clear and significant boost to profits and revenues by leveraging predictive pricing.

Online Pharmacy Apologistics Gains Significant Profit & Revenue Uplift Despite Highly Competitive Market

Read about how 7Learnings helped one of Europe‘s fastest growing online pharmacies to significantly increase its profitability and revenue by implementing advanced machine-learning based pricing.