Evaluation
We evaluate your current data and processes and define potential use cases with you.
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
We evaluate your current data and processes and define potential use cases with you.
We will provide you with a study that will explain the impact of machine learning and the most promising AI use cases.
By comparing your historical data to the predictions and simulations generated by Verteego, we test your solution on a real-world use case.
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.