How Machine Learning is reshaping Price Optimization
Python's best | Explore our 10th annual Python top picks for 2024. Check it out!Price optimization
Uplift your business with AI‑based price optimization
Combine industry knowledge with machine learning.
Own your pricing process
Set a dynamic frequency of adjustments that depend on the business goals you are willing to optimize.Take advantage of AI-generated insights and suggestions based on your historical data, or start controlled experimentation where data lacks.Effortlessly scale to thousands of products.
Dynamically adjust prices
Our AI-based pricing algorithms can look at a vast number of internal and external factors.Consider seasonality, customer price elasticity, competitor pricing strategies, or specific features that might impact your business — even weather conditions.Get the best possible price for every single item at each point in time.
Never run out of stock
Manage your stock by integrating your inventory management decisions with the data-driven pricing system.Our AI solution will granularly anticipate product demand and signal when there is a chance you may run out of stock
Simulate using what-if scenarios
Experiments gone bad can be very costly. With what-if scenarios, analysts and decision makers can understand different strategies and pricing schemes, visualizing the estimated impact on sales while playing with different factors that affect demand.What if you increase the price in 5% next week? Will it affect your sales? Try it on!
+1M USD
annual savings for second-hand luxury store
100k
SKUs optimized per month for online retailer
Case study
28% increase in gross margin
For a brick & mortar luxury retailer with +9,000 employees and 160M customers per year, Tryolabs developed a price optimization solution to replace a traditional pricing process.
The client implemented it through weekly changes in the price tags.
Deployment against a control store using the traditional pricing mechanism showed a 28% increase in gross margin for the selected SKUs and significantly reduced out-of-stock related losses.
Learn about AI and pricing
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