AI & Machine Learning for eCommerce

By 2040, 95 per cent of purchases will be made online. That's why e-commerce software and technologies have evolved rapidly in recent years, adapting to the 2.64 billion online shoppers worldwide. If you are thinking about starting your own online store or need new solutions for your online business, this article is for you.

Artificial Intelligence (AI) and Machine Learning (ML) have revolutionised the ecommerce industry. Historically, AI was created to optimise processes related to data, image and language analysis. Today, it is proving its worth in other industries as well. Emat EOOD has been working with AI algorithms and models for years. Which AI technologies, machine learning tools, platforms and software solutions will enable online businesses to develop and outperform their competitors?

AI-based personalisation. By analysing customer data, processing systems can personalise information about the products offered to the customer.
AI and supply chains. By combining data on products in stock, market demand and delivery routes, intelligent software can optimise trading decisions, reducing storage and delivery costs.

Price optimisation. Emat development uses artificial intelligence algorithms to analyse competitors' prices and market trends. Our software helps to adjust prices while analysing demand, product availability and customer potential.

Cyber security and hacking. Machine learning algorithms analyse transactions and identify fraudulent activity and patterns. This helps e-commerce businesses to detect and prevent fraudulent transactions, protecting both businesses and customers. AI models developed by Emat EOOD IT enable rapid response to threats, prevent attacks and detect anomalous user behaviour.

Repetitive tasks. Current AI models are applied in the context of specific, often repetitive tasks. For example, two new models, OpenAI DALL-E and CLIP, combine language and images to create new visual designs from text descriptions.

Digital doubles. The notion of a "digital twin" has become a fairly common addition to AI. Leading industrial hardware vendors are creating meta-structures by placing virtual models in various environments, both real and unreal. In recent years, digital twins have become a common addition to changing technical processes. Based on IoT and new ecosystems, they are easily scalable. They are increasingly used to model and simulate human behaviour, assess alternative future scenarios, predict business and develop start-ups.

IoT and warehouse automation. Connecting a network of interconnected physical devices equipped with sensors and software and connectivity capabilities that allow data to be collected and shared from the devices. Emat EOOD is involved in an international project to develop software for intelligent shelves. This solution makes it possible to monitor stock levels in the warehouse, estimate delivery volumes and optimise picking and packing. IoT devices are in constant communication with each other and with the central system, allowing real-time data to be collected and analysed efficiently.

Smart warehouse and order automation. The system learns, adapts and makes decisions autonomously when AI algorithms are added to robot settings for repetitive and cyclical processes (RPA). One solution that major online grocers are already using is robots that move around the warehouse, picking items from the shelves and preparing orders for delivery. The system learns from past orders, optimising picking routes and improving efficiency over time.

Enterprise Resource Planning (ERP) solutions. AI algorithms integrate different business processes and functions into a single, unified platform. These solutions optimise inventory management by automating processes such as inventory monitoring, order fulfilment and demand forecasting. With accurate inventory data and real-time analytics, companies can minimise out-of-stocks, reduce shipping costs and increase order fulfilment speed.

eCommerce and advertising. In one way or another, Artificial Intelligence is impacting society and changing business processes. AI-based technology solutions for eCommerce help analyse data on user behaviour, allowing you to model their profiles, identify their preferences and predict future actions. This makes it possible to create personalised virtual scenarios and tailor content to each user's needs.

Artificial intelligence-based chatbots and interactive virtual assistants (IVAs) are designed to support customers around the clock, answering frequently asked questions quickly and efficiently.