Using AI & Web-Scraping To Solve Ad Discrepancy

Introduction

Lululemon once put out an ad that didn't reflect their product accurately. It wasn't consistent with the technical parts of the product and falsely made the product out to be something it wasn't. They lost a lot of money because of this.

We decided to focus on providing companies a platform to double check that their ads reflect their products accurately. The software assists in finding the validity of the connections the go-to-market teams find themselves making between the technical and marketing teams. The goal is to decrease chances of false advertising and costing companies a lot of money, specifically for small businesses.

Use Cases

Ultimately, the use cases are infinite. Anyone can use anything for anything. However, here are some main ones that we wanted to target with this product:

• Third Party Sellers: A lot of the times, especially with smaller businesses and startups, people like to take their products, falsely advertise them, and sell them at a higher price. This isn't fair to the original business and we scrape the internet to find these third party sellers.

• Solving Discrepancy Between Technical & Marketing Teams: Sometimes, there is a discrepancy between technical and marketing teams in terms of how the product should be advertised and what it is. Go-to-market teams try and solve this, but our tool ensures that everything is accurate and acts as a verifier.