Watch our Webinar : AI and Machine Learning for Omni-commerce

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 oppurtunity to discuss with the subject matter experts. Watch the video here.

Kishore Rajpgopal
Kishore Rajpgopal
Founder & CEO

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





































Get Started

Pain Problems to Solve

Select 3 problems

Over Stocking
Product Expiration/Wastage
Out of Stock
Improper Markdown
How much more COULD we have sold?
Cant Figure out latent Demand
What more merchandise could sell
Food Wastage
Not Responding Speedily to fashion Trends
Over Exposure to Competitor Pricing

Benefit Expected

Select Top one or two

Better Full Price sell through (Less Discounting)
Higher OSA (on shelf Availability)
Higher Inventory Turns
Lower Store or DC inventory
Higher Basket Sizes
Higher Customer Loyalty (More Repeat visits)
More Effective Planning