Artificial Intelligence in eCommerce

Deliver unmatched shopping experience with the competitive power of data

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How AI empowers online stores and eCommerce platforms

Create personalized experience

Driving conversions remains the number one goal for all eCommerce businesses. And in this highly competitive world, shopping experience personalization rules the day. Machine learning allows you to make use of all customer information your platform already stores and reach the customization level of Amazon, Alibaba, or eBay. Technical data about visitors, their clicks, actions, and devices provides an opportunity to tailor content with pinpoint accuracy.

Optimize inventory management

Knowing how much of a given product will be sold on an exact date is one of the biggest eCommerce superpowers. AI algorithms can analyze the historical data, draw trends from it, and help you make informed decisions to maintain inventories more efficiently.

Automate customer service

Today’s online shops have to be available 24/7 and on multiple channels to boot. Automating customer support can save eCommerce businesses time, money, and operational resources. Besides, freeing staff from answering repetitive questions allows them to focus on more challenging requests. AI-driven personal assistants or chatbots can easily carry the burden of answering routine queries.

Discover AI use cases in eCommerce

Sales forecasting for optimal, just-in-time inventory management

Detect patterns in purchasing behavior to predict slumps and spikes in sales. Use this knowledge to order just the right amount of goods, prevent spoilage, and reduce storage costs.

Personalized shopping and recommendations

Create relevant customer experience for each individual. Learn more about your user base to provide timely discounts and dynamically change content.

Fighting fraud and fake reviews

Identify fake reviews through behavior and sentiment analytics. Uncover suspicious activities and protect your users from scams.

Voice search and shopping

Reach your customers through their home assistants. Create features for Alexa, Google Home, and Apple HomePod to access these folks via the channel that gains audience every day.

Customer support automation and chatbots

Employ customer support agents that never rest, take a sick day, or go on vacation. Train bots to address urgent problems and be available 24/7.
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Technologies

tensor python docker learn jupyter r seaborn pytorch matplotlib pandas anaconda

Take Our Client's Word for It

Denys Arysmiatov

Denys Arysmiatov,Head of Promotion Department, Homsters

At Homsters we strive to help buyers of new-built property find the best offers by providing all information needed to make a choice. AltexSoft team did a great job developing a recommender engine for search pages. Initially, we had the same results for all visitors.  As part of the cooperation, we've created a solution that track the user behavior, analyzes it and personalizes the list of properties, that may be relevant for each particular visitor. We’ve managed to considerably improve engagement metrics on the website and increase the percentage of users that have contacted developers using our platforms.
Kelly York

Kelly York,Director of Software Development at Bravo Store Systems, United States

AltexSoft listened to our needs and made sure we were getting the correct value for the service provided. Their leadership recognized our requirements and their groups efforts materialized. It became a very cohesive relationship.
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