⚾Introduction

Overview and introduction

Intro

The product discovery process is based on how shoppers can discover products online that fit their interests through searches, behavioral data, and other techniques. Is about getting the shopper to the right product at the right time.

There are several techniques to increase the product discovery and deliver better experiences for the shoppers which means sales grow for the company as well as better customer satisfaction and engagement.

Here we describe some of these techniques and how we are delivering them in GoShops to help our customers take their business to the next level.

Customer segmentation

Customer grouping is a concept widely used in retail. Retailers have been grouping customers by different factors like gender, age and income. However, with the advance of big data and the large amount of data available for retailers, more complex algorithms are needed and ML is the ideal to rely on.

From browsing behavior to purchase and search history, more and more data are available to classify and categorize customers creating new customer segments.

With GoShops algorithms we can exploit all the data available from your e-commerce and get the best customer segments for your business. With these segments the sky is the limit, from better campaigns to products

GO-Search

Create personalized, flexible ecommerce Search & Discovery experiences that your shoppers will love.

Tailored to your audience increasing conversions 30% by delivering an exceptional UX.

Blazing fast and relevant ecommerce site search for instant engagement Frictionless shopping with robust typo tolerance, synonyms and more Engage and inspire shoppers with promoted and editorial content Help your users refine their search and browse your catalog

What is a Smart Search API?

Why is it so important? How does it work?

GO-Recommendation

AI for better product recommendation

Deliver personalized recommendations that suit each customer's tastes and preferences across all your touchpoints.

What is a product recommendation API?

Why is it so important?

Recommendations helps conversion 35% of Amazon's revenue is generated by recommendation engines 75% of what people watch on Netflix comes from their recommender system as well using NRE (Netflix Recommendation Engine).

How does it work?

GO-Personalization

What is a Personalization API?

Why is it so important?

Personalization positively influences the buying behavior of customers

According to Mckinsey research, companies that excel at personalization generate 40 percent more revenue from those activities than average players.

How does it work?