Are you leaving money on the table?
An American apparel brand gained 14% on sales due to NextOrbit’s pricing. Industry research indicates that the typical retailer leaves 6% money on the table; in other words, this is sales that could have happened, but was lost due to improper pricing. This figure is higher for fashion and apparel, luxury goods, electronics and other price-volatile categories. Using AI and Machine Learning can improve the situation. We will discuss how AI and Machine learning can be applied to pricing decisions – improving profits and sales. How competitor price discovery can be incorporated into pricing optimization and is enabling retailers to sell more products and achieve better pricing and minimize the need for heavy promotion.
An informational webinar was held on Sept 24th to:
- Learn more about the AI and Machine learning applications in pricing of products
- Hear why predictive analytics and machine learning can drive such a great impact for retailers and,
- Seize the opportunity to discuss with the subject matter experts!
Published on Jan. 31, 2020