The future of retail? An online, personalised service

A once fragmented e-commerce ecosystem will become an integrated experience for brands and customers thanks to AI The future of retail will see the implementation of a holistic and omnichannel approach, offering an integrated experience with relevant content based on specific user behaviour. Businesses will make better and faster decisions […]

A once fragmented e-commerce ecosystem will become an integrated experience for brands and customers thanks to AI

The future of retail will see the implementation of a holistic and omnichannel approach, offering an integrated experience with relevant content based on specific user behaviour.

Businesses will make better and faster decisions and teams will have access to hundreds of data points that allow them to focus their time and resources on what matters: the business.

This future will unfold as a symbiotic relationship between brands and customers. A once fragmented e-commerce ecosystem will transition from disjointed interaction to an omnichannel strategy where touchpoints complete each other and enhance the user experience.

The sense of in-store exclusivity associated with luxury brands will be achieved online thanks to cutting-edge technology and data architecture. The implementation of software and tools, powered by Artificial Intelligence [AI], will not only lead to personalised customer journeys but will also allow business owners and product managers to focus on the strategic vision of the business. AI and machine learning are two of the key factors that will reshape the retail landscape.

Focus on what’s important: the customer

To harness the next wave of digital innovation brands must move away from silos to focus on an integrated experience – how to improve it, how to make it exceptional. Having a holistic omnichannel approach and access to a 360-degree marketing platform will help them understand their customers’ journey, behaviour and buying patterns and provide them with a truly personalised experience. Retailers that act effectively on this knowledge will be ahead of their competition.

Integrating resources and data from various scenarios and processes and forming systematic solutions for consumer needs will substantially boost the efficiency and competitiveness of the entire ecosystem.Deloitte

By embracing technology, AI and data architecture, they will also take the weight of repetitive tasks off the shoulders of their teams. Having access to software capable of centralising processes, allowing them to save time and resources while collecting and analysing data, predicting patterns and behaviours to maximise the value of their audience, is what will make brands stand out in a market that is increasingly complex and competitive.

It’s about enabling technology to manage inventory, automation and data analytics while teams make strategic decisions to improve the buyer journey, increase conversion and sales, improve customer lifetime value, and maximise return on investment and income.

Recommend: a holistic approach to your business

RECOMMEND is a personalisation and 360-degree marketing platform for e-commerce businesses. Powered by AI, Recommend optimises companies’ websites, analyses customer journeys and curates a personalised shopping experience that anticipates the consumer’s needs and desires.

The future of e-commerce platforms is to move away from seeing their audience as segments and instead address them as individuals. It’s about providing a one-to-one online customer experience.

The world’s 10 largest traditional retailers are spending a much smaller proportion of their revenues on IT than Amazon, which views digital tools, data analytics and other technology as core to its mission to get ever closer to customers.Bain & Company

As customers reach a website, several actions are happening in the background. It is vital for a business to understand who they are, their journey and purchase patterns. Recommend provides a streamlined integration with e-commerce websites.Its sophisticated data-gathering system will collect information and analyse each and every action by customers, while browsing the website, to create a unique shopping experience for each one of them.

The 360-degree marketing platform takes product recommendations and cross-selling to the next level. The company’s product merchandising module is able to show product recommendations based on popularity, conversion rate, sizes and availability, among other key data points. Combined with its visual search function, customers will also be able to recommend visually similar items to enhance the shopping journey.

Recommend’s  email Marketing module has been developed within the platform to streamline the whole process to provide a tailor-made experience for each customer, and includes email, on-site messages and push notifications. The automation and email and push campaigns can set up marketing automation and send transactional messages as well as promotional campaigns, giving customers real-time messages based on their unique journey.

Brands can insert personalised recommendations into emails based on patterns and interests, thus targeting loyal customers or welcoming new visitors. AI can help you decide whether it is best to send an email or a push notification based on customer behaviour, device and location, among other criteria. The module also includes managing subscriber lists, creating segments, customising templates, tracking performance, and analysing key metrics such as open, delivery, and click-through rates all within a user-friendly visual interface.

Recommend is a dynamic self-learning system with almost zero human involvement and administrative time. The platform is continually evolving, updating and improving every feature to provide maximum efficiency and respond to the rapid pace of innovations in today’s market. By using Recommend, your brand will have the capability to make decisions with both sides of the business in mind, improving your brand credibility and user engagement while increasing your conversions and revenue month over month.

For more information visit recommend.pro/telegraph

This article was originally produced and published by Business Reporter. View the original article at business-reporter.co.uk

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