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E-commerce automation. 5 areas of e-commerce worth automating using artificial intelligence | AI in e-commerce #1

Personalization of e-commerce shopping

Personalizing the shopping experience is the number one, or most important, area worth automating using artificial intelligence. Customers appreciate tailored offers, while manual personalization of offers in mid-sized e-commerce is simply not feasible.

An example of a store that effectively uses AI to personalize offers is Modivo.co.uk. Machine learning algorithms analyze a customer’s purchase history and preferences to suggest products that may interest them. This kind of personalization not only increases the likelihood of purchase but also has a positive impact on customer loyalty.

An example of a tool using artificial intelligence to personalize the shopping experience that you can use in your store is Segmentify. It’s a platform that uses machine learning algorithms to analyze user behavior and purchase history. This allows stores to offer personalized product recommendations, as in the case of Modivo.co.uk.

Source: Segmentify (https://segmentify.com/)

Segmentify integrates with various e-commerce platforms, such as Shopify, Magento, WooCommerce, and PrestaShop. Segmentify also offers an API and SDK to integrate with any system. It is currently used by more than 250 companies in 40 countries, and its main goal is to create a personalized experience for each customer.

Segmentify uses a series of machine learning algorithms for this purpose, which are learned from massive amounts of data until they can make decisions and recommendations on their own. These are similar technologies to those used by Netflix to recommend the next series to watch and Amazon to suggest the next purchase.

E-commerce automation – pricing products

Dynamic pricing strategies based on AI algorithms monitor competitor prices and analyze market variables such as demand and supply. They enable flexible and automatic price adjustments. As a result, online stores can optimize their margins and profits in response to current market conditions.

To automate product pricing, you can try Prisync. It’s a real-time competitor price monitoring tool that uses AI technology to analyze market trends, allowing you to dynamically adjust prices in your store.

Among other things, Prisync allows you to add competitors’ website addresses manually or in bulk, for each product. The tool updates prices and product availability three times a day and presents them in the dashboard.

Source: Prisync (https://prisync.com/)

Prisync applies advanced machine learning algorithms to deliver personalized price recommendations and optimize profit margins. If you’re ready for automation, you can also set automatic price changes depending on defined business rules.

Advanced e-commerce automation customer service

AI-based chatbots, such as those used by Allegro, facilitate e-commerce automation in the area of customer service. By analyzing the sentiment and context of customer inquiries, they can deliver responses that are more personalized and relevant.

If you’re looking for an advanced customer service automation tool, Intercom comes to the rescue. It’s a platform that uses AI to automate customer communications, analyze customer sentiment and deliver personalized responses to their inquiries. It also allows for seamless switching to a consultant call and multi-platform automation, including mailing, customer onboarding and more.

Source: Intercom (https://www.intercom.com/fin)

From the point of view of e-commerce automation, one of Intercom’s most interesting modules is Fin, artificial intelligence based on OpenAI’s language models that solve complex problems and provide safe and accurate answers to customer questions. Fin does not require training, you just need to point it to the source of the support content, and it will independently analyze it and use it to talk to customers. Fin can also forward more difficult questions to the human support team.

Also, very practical is the Product Tours module that introduces customers to how the store works. This is a tool for creating and launching interactive product tutorials that help customers better learn about and use e-commerce offerings. Product Tours allows you to create personalized tracks for different customer segments, add animations and challenges, and measure the effectiveness of the tutorials.

E-commerce automation of document processing

A major headache for e-commerce owners is the creation and handling of documents, such as invoices, orders and shipping documents. Meanwhile, their efficient processing is crucial to the smoothness of business processes. Natural Language Processing (NLP) technologies play a significant role here, automating the recognition and processing of documents.

Rossum Elis is one of the automatic document processing platforms that uses advanced NLP technologies. With this tool, online stores can automatically extract data from a variety of documents, such as invoices and orders, significantly speeding up processing and eliminating human error.

Source: Rossum Elis, (https://rossum.ai/)

Rossum Elis can recognize the structure of a document, identify key information, and transform it into structured data, ready for further processing in the store’s systems.

5. virtual shopping assistants for e-commerce

E-commerce automations that facilitate the shopping process greatly improve the customer experience (CUX). One of the most popular solutions is virtual shopping assistants. They not only enable conversations but also proactively help customers make purchases or redirect them to speak with a consultant.

Drift is a platform designed to personalize conversations at every stage of a customer’s purchase path. It features Conversational AI, based on OpenAI solutions, which can be used in customer service and marketing.

Source: Drift.com (https://gethelp.drift.com/s/article/What-is-Conversational-AI)

Drift enables you to qualify and convert visitors, build a quality sales funnel, provide customer support and facilitate the generation of quality leads, improve marketing and sales efficiency, and automate customer service.

Summary

From personalization and pricing to customer service, to document processing and shopping companionship. AI-based e-commerce automation offers operational efficiency and competitive advantage, putting it at the center of strategic e-commerce decisions.

However, even in an era of increasing automation, it is worth remembering the value of individual contact with customers. As always in business, balancing these two aspects will be key. There is no doubt that AI technologies will continue their expansion in e-commerce. Still, it is the entrepreneurs who skillfully integrate them with personal interaction who are most likely to gain a competitive advantage.

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Author: Robert Whitney

JavaScript expert and instructor who coaches IT departments. His main goal is to up-level team productivity by teaching others how to effectively cooperate while coding.

Robert Whitney

JavaScript expert and instructor who coaches IT departments. His main goal is to up-level team productivity by teaching others how to effectively cooperate while coding.

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