Seamless online shopping – that’s what customers expect today. Shopping assistants make this possible by delivering personalised, 24-hour service that’s fully scalable. Our blog explores how AI-assisted sales advice can enhance customer engagement in B2C and B2B environments, while relieving pressure on your service team.
From rule-based chatbots to conversational AI
Chatbot and virtual assistant technology has progressed rapidly. Early versions relied on fixed keywords, making them somewhat rigid and not particularly intuitive. While these rule-based systems provided initial assistance, they struggled with the complexity of natural language.
With the advancement of machine learning, chatbots have started to learn from interactions and are steadily improving. But the real quantum leap came with generative AI – in particular, GPT technology. This not only understands what users say, but also what they really mean – and responds in natural language. The result: interactions feel genuine, provide context-based advice and offer added value. For e-commerce, the era of conversational AI represents an opportunity for improved service, higher conversion rates and greater customer loyalty.
What's driving the steady rise of virtual shopping assistants?
Consumers want fast, personalised advice – across all channels. At the same time, retailers are under pressure to be efficient. This is where virtual shopping assistants come into play. They deliver:
- Immediate responses around the clock, especially in times of skilled labour shortages
- Personalised recommendations
- Reduced order abandonment rates
- Greater customer satisfaction
- Operational relief for service and sales teams
What’s long been standard in B2C is now picking up speed in B2B – with extensive product ranges, technical complexity and long decision cycles driving the need for intelligent advisory solutions. Even complex tasks like searching for products based on technical specifications can be handled with ease by a shopping assistant. Bulky catalogues, overflowing inboxes and time-consuming research could soon be a thing of the past.
Benefits at a glance
- Intelligent product recommendations increase conversion rates
- 24/7 real-time advice takes the pressure off sales and service
- Personalisation through AI leads to fewer returns and higher shopping cart values
- Integration with novomind or other systems enables a seamless journey across all channels
How AI-assisted shopping assistants work
Virtual shopping assistants access product data, customer profiles, chat histories and PIM/CDP systems via APIs. They guide customers through the purchasing process via chat, voice or app interfaces, with real-time responsiveness being their key advantage. They provide personalised recommendations based on behaviour, interests and current trends. This results in customer journeys that are tailored to each individual.
Real-world use cases – support around the clock
Shopping assistants via chat are more than just automated FAQs. They answer questions, navigate complex product ranges, provide recommendations and advise on alternatives. The AI assistant not only grasps what customers want, it even picks up on their doubts.
As online and offline retail become increasingly intertwined, data from both channels can be merged – often via a customer data platform – to provide comprehensive customer support. Online channels can also offer targeted information about brick-and-mortar shops, such as where to find the nearest outlet. At the same time, retailers can see in advance which consultations have taken place online, allowing them to create a seamless customer journey.
Typical capabilities of a shopping assistant:
- Product advice
- Product configurators
- Delivery information & re-ordering
- Personalised product recommendations based on customer behaviour
- Displays vouchers & promotions
- Size and style guides
Example from B2C: fashion retailer using AI-assisted sizing advice
An online fashion shop integrates a virtual assistant that provides size recommendations based on body measurements, return history and favourite brands. This reduces the return rate and strengthens customer loyalty.
Example from B2B: intelligent FAQ chatbot with product recommendations
A technical retailer replaces rigid FAQ pages with an AI-assisted chatbot. This tool answers questions about compatibility, recommends suitable accessories and redirects you straight to the product detail page – including the data sheet.
CDP & PIM: the database makes all the difference
The better you know your customers, the more accurate your shopping assistant will be. A centralised Customer Data Platform (CDP) provides a comprehensive view across all touchpoints and feeds real-time customer data into AI applications.
Equally important is a powerful Product Information Management (PIM) system like novomind iPIM, which standardises and enriches data to make product information AI-ready.
Integration made easy – with novomind
Integrating AI doesn’t have to be complicated – quite the contrary. With novomind, AI shopping assistants can be easily integrated into existing shop and service systems.
Thanks to REST APIs, integration with CRM, CDP and shop solutions is seamless. Customer details, product information and real-time stock data form the basis for personalised, in-context advice across all channels.
Conclusion: better advice leads to more sales
Virtual shopping assistants are more than just a technical gimmick – they are the key to better service, greater customer satisfaction and increased sales. In today’s demanding e-commerce landscape, they allow you to rethink customer service to make it more efficient, personalised and available around the clock.
Relying on conversational AI today gives you a real competitive advantage tomorrow and into the future.
Do you want to do more than just serve your customers by offering them personalised advice and making their product search effortless? With novomind’s GDPR-compliant and scalable shopping assistant, you’re ready to tap into the full potential of AI right away.
Find out how novomind can support your business.