Artificial intelligence. Successful AI commerce with elio.

AI not only optimises processes in inventory management and logistics, but also increases efficiency in customer service. Chatbots process enquiries independently around the clock, relieving employees. This leads to faster deliveries and improved customer satisfaction.

According to McKinsey, companies were able to reduce their logistics costs by 15 %, cut inventories by 35 % and improve service levels by an impressive 65 %.

The chatbot study by EOS also shows that chatbots can handle more than half of customer enquiries completely independently.

By analysing trends and patterns in the collected data, companies can make precise and well-founded decisions that go far beyond gut instinct. This allows them to optimise their marketing strategies in a targeted manner and develop new products that precisely meet the needs of their customers.

Predictive analytics, for example, helps to forecast future demand and adjust planning accordingly. This enables companies to manage their stocks more efficiently, avoid bottlenecks and always offer exactly what customers want. With these precise analyses and predictions, no trend remains undiscovered and no potential unused.

AI protects e-commerce from fraud by recognising unusual transactions and taking immediate action.

According to Juniper Research, retailers worldwide will suffer losses of more than USD 343 billion from online payment fraud between 2023 and 2027. Particularly problematic are fraud tactics such as account takeover and ‘friendly fraud’, where customers falsely claim not to have received the goods in order to receive a refund. Some fraudsters even run large-scale chargeback scams and sell the goods on the black market.

AI prevents such fraud patterns, protects companies' finances and boosts customer confidence

AI plays a central role in e-commerce pricing. By continuously analysing market conditions, competitor prices and demand, AI can calculate optimal prices in real time in order to increase sales and maximise profits.

A study by Coresight Research and Competera shows that 92% of retailers are already using AI-based solutions for their pricing decisions. Of these, 70% report significant benefits from these technologies. This development impressively underlines how AI is revolutionising traditional retail pricing and helping companies to strengthen their competitiveness and optimise their financial performance.

Thanks to artificial intelligence, search functions on e-commerce websites are smarter than ever. These smart algorithms not only deliver more relevant results, but also understand natural language queries better, making shopping even easier.

According to a survey by FactFinder, AI applications in areas such as merchandising, search and personalisation provide the biggest boost to sales in online shops.

AI is revolutionising data management by classifying data precisely and organising it efficiently using modern systems such as data warehouses and data lakes. Advanced AI technologies automatically sort, store and archive data, enabling smooth data management and significantly reducing the effort required for manual processes.

A key aspect of this is the integration of KYC (Know Your Customer) and KYB (Know Your Business) processes. AI supports these through the automated identification and verification of customers and business partners, the creation of risk profiles and the continuous monitoring of transactions. This strengthens compliance with data protection regulations, prevents illegal activities and minimises risks.

By combining intelligent data organisation and robust KYC/KYB processes, AI optimises data quality and ensures secure, compliant data management.

Generative AI (GenAI) improves content optimisation in e-commerce by automating many tasks. It prepares data, creates product descriptions, summarises customer reviews, translates content and generates visual representations. These functions make content creation more efficient and increase customer loyalty and operational efficiency.

For example, GenAI can automatically create detailed product descriptions and summaries of customer reviews. It translates content into different languages and generates product images and visualisations that show products in context without the need for full photos.

According to McKinsey, companies that use AI to create content are seeing significant improvements in marketing efficiency and customer loyalty.

VisionAI is transforming e-commerce with smart image processing. For example, a warehouse employee can scan a product bottle, whereupon the system automatically triggers orders and optimises stock levels. This optimises inventory management and significantly reduces manual work processes.

VisionAI is also indispensable for quality control: it uses images to check products for faults and defects, thus ensuring the highest quality standards and increasing customer satisfaction. VisionAI thus ensures more efficient processes and more satisfied customers in e-commerce.

AI makes it possible to tailor the entire content of a website or online shop to the individual needs and preferences of each user. In contrast to personalisation, which often focuses on individual points such as product recommendations or thank you messages, the individual playout of content enables the entire customer experience to be comprehensively adapted.

The AI analyses user behaviour and preferences in real time in order to dynamically optimise content such as banners, offers, articles and layouts. This turns every shop visit into a unique experience that is precisely tailored to the respective customer and significantly increases interaction and the conversion rate.