Evaluation
We evaluate your current data and processes and define potential use cases with you.
Identify the best pricing strategy taking into account your objectives and constraints
Each of your article-sales point pairs has its own price elasticity. The calculation of price elasticity quickly shows its limits and its value evolves over time. Artificial intelligence will allow you to take a step forward in the development of your dynamic pricing strategy and give you a head start on the competition. Verteego will allow you to explore multiple pricing scenarios to assist your marketing teams in setting the right price for your product lines, new collections or special operations.
Benefits
- Optimize pricing for all your products
- Have a scalable pricing strategy
- Increase your margin
- Optimize your pricing strategy compared to the competition
- Reduce the time spent by your teams on pricing definition
Pricing strategy
Use Case Pricing - Car rental
Download our case study and find out how a leading car rental company optimised its pricing strategy with unparalleled accuracy by automating its pricing grids.
Would you like to evaluate the ROI before you start ?
Our evaluation methodology will enable you to quantify Verteego's contribution to your business.
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Study
We will provide you with a study that will explain the impact of machine learning and the most promising AI use cases.
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Demonstration
By comparing your historical data to the predictions and simulations generated by Verteego, we test your solution on a real-world use case.
Optimize pricing in your sector
Mass Retail
Adapt your sales prices thanks to artificial intelligence
Simulate the sales behaviour of a new product line taking into account your pricing
Speciality Retail
Rationalise your prices according to your market constraints thanks to our predictive algorithms
Identify potential margin gains from your unsold products thanks to machine learning
E-commerce
Find out how Verteego can help you optimise the price of your products according to the acquisition channel
Simulate the impact of a price on new product launches ad infinitum
Industry
Feed your production planning tools with reliable forecasts
Determine the most profitable spot price in advance of production
Summer sales: how to optimize your pricing during markdowns?
The context of our next webinar
The decrease of attendance and the logistic difficulties linked to the recent sanitary crisis have heavily impacted the levels of sales, creating unprecedented amounts of inventory in warehouses and distribution centers. Since the reopening of shops, specialized brands are competing in ingenuity to liquidate their stocks and prepare themselves to catch up with the upcoming summer sales, which were pushed back of 2 weeks.
Markdown mechanisms come out as the most interesting drivers for brands to attract new clients through promotions. Nonetheless, to make full use of this opportunity by optimizing the margins and the unsold products, brands need to adopt the right strategy and pricing at the right time by basing themselves on extremely accurate data analysis to have successful sales during this competitive period.
As editor of an Artificial Intelligence platform, Verteego will demonstrate how algorithms of prediction can help optimize your pricing during your successive markdowns through several use cases.