Tag: Shopping experience

Your Guide to Personalised Product Recommendations in e-Commerce

Posted on by Omprasad Devadiga

In today’s fast-paced digital age, online shopping has become the norm for many consumers. However, with the vast array of products and services available, it can be challenging to find exactly what you’re looking for. This is where the power of personalised product recommendations comes into play.

Gone are the days of generic, one-size-fits-all suggestions. Consumers now expect a tailored shopping experience that anticipates their needs and preferences. Traditional methods of compensating for digital shortcomings, such as physical store associates, are no longer sufficient to meet these rising expectations.

Fortunately, artificial intelligence (AI) and machine learning (ML) offer a solution. Recommendation engines leverage vast amounts of customer data and user behavior to predict individual needs with remarkable accuracy. By analysing factors such as purchase history, browsing patterns, and demographics, these engines can deliver highly personalised recommendations in real-time. This not only enhances the overall shopping experience but also drives customer satisfaction and loyalty.

Key Improvements:

  • Conciseness: The text is more concise and focused on the main point.
  • Clarity: The explanation of recommendation engines is clearer and more direct.
  • Stronger language: The language is more impactful and engaging.
  • Emphasis: The importance of real-time personalisation is highlighted.

Optimising Personalised Product Recommendations Across the e-Commerce Journey

Given the complexity of modern e-Commerce customer journeys, recommendation engines must go beyond individual touchpoints to deliver highly personalised experiences. Unlike established giants like Amazon and Netflix, many retailers face challenges with user registration rates. AI-powered solutions like Coveo address this by decoding user behavior to provide personalised recommendations, even for anonymous visitors.

Homepage Recommendations

  • Personalised “For You” Section: Curate a unique selection of products based on the visitor’s browsing history, purchase behavior, and demographics.
  • Featured Collections: Highlight popular or trending categories or products to pique interest and drive engagement.
  • Seasonal or Holiday Recommendations: Tailor recommendations to specific events or occasions to increase relevance and timeliness.

Product Page Recommendations

  • “Customers Also Bought” Section: Showcase items frequently purchased by other customers who viewed or bought the current product.
  • “You Might Also Like” Section: Suggest similar or related products based on product attributes, categories, or user preferences.
  • Upselling Opportunities: Recommend premium versions or add-ons to increase the average order value.

Cart Page Recommendations

  • “Frequently Bought Together” Section: Suggest complementary or related items that can enhance the customer’s overall purchase.
  • “Complete the Look” Section: Offer suggestions to create a cohesive outfit or ensemble.
  • “Bundle Deals” Section: Provide discounts or incentives for purchasing multiple items together.

Product Category Pages

  • “Best Sellers” Section: Highlight top-selling products within the category to guide shoppers towards popular choices.
  • “New Arrivals” Section: Showcase recently added products to generate excitement and encourage exploration.
  • “Editor’s Picks” Section: Curate a selection of products based on expert recommendations or unique features.

By strategically placing recommendation widgets in these key areas, you can provide a more personalised and engaging shopping experience, ultimately increasing customer satisfaction and driving sales.

Revolutionise e-Commerce with ETP Unify: AI-Powered Solutions for Unified Commerce Success

ETP Unify features AI-based Product Recommendations, enhancing the customer experience during checkout. Utilising a Matrix Factorisation Algorithm, these suggestions are founded on various interactions, considering product attributes and customer demographics. Upon selecting a customer, the model provides personalised product recommendations based on the customer’s purchase history and refines its suggestion as more items are added to the cart. These recommendations are visually presented on a dual screen for the customer to select and the cashier to add them seamlessly to the billing screen, streamlining the checkout process and facilitating upselling opportunities.

Personalised Product Recommendations:

ETP Unify’s advanced recommendation engine leverages AI to deliver tailored product suggestions to customers, enhancing their shopping experience and driving sales. By analysing customer behavior and preferences, the system provides highly relevant recommendations that increase customer satisfaction and loyalty.

How it works:

  • Matrix Factorization Algorithm: ETP Unify utilises a sophisticated Matrix Factorization Algorithm to analyse customer interactions and product attributes. This enables the system to identify hidden patterns and correlations that traditional recommendation methods might overlook.
  • Personalised Recommendations: Based on a customer’s purchase history, browsing behavior, and demographics, the system generates personalised product recommendations. These suggestions are tailored to the individual customer’s preferences, increasing the likelihood of conversion.
  • Dynamic Recommendations: As customers add items to their cart, ETP Unify’s recommendation engine updates its suggestions in real-time. This ensures that customers are always presented with the most relevant and enticing product options.
  • Seamless Checkout Experience: ETP Unify’s dual-screen interface provides a seamless checkout experience for both customers and cashiers. Customers can easily view and select recommended products, while cashiers can quickly add them to the billing screen. This streamlined process reduces checkout time and increases customer satisfaction.
  • Upselling Opportunities: ETP Unify’s recommendation engine can also be used to identify upselling opportunities. By suggesting complementary or related products, the system can encourage customers to purchase additional items and increase the average order value.

Benefits:

  • Increased Sales: Personalised product recommendations can help drive sales by guiding customers toward products they are more likely to purchase.
  • Enhanced Customer Satisfaction: By providing a more relevant and engaging shopping experience, ETP Unify can improve customer satisfaction and loyalty.
  • Reduced Checkout Time: The streamlined checkout process facilitated by ETP Unify can help reduce checkout time and improve customer satisfaction.
  • Increased Average Order Value: By suggesting complementary or related products, ETP Unify can help increase the average order value and boost revenue.

In conclusion, ETP Unify’s AI-based Product Recommendations offer a powerful solution for retailers looking to enhance the customer experience and drive sales. By providing personalised, relevant, and engaging product suggestions, ETP Unify can help retailers stay ahead of the competition and achieve long-term success.

The opportunities to create an engaging retail experience

Posted on by admin

Etp-blog-the-opportunities-to-create-an-engaging-retail-experience

Gone are the days where retail used to be treated as a transactional business where in retailers sold the products to consumers who came to their stores to buy those and the mutual give and take of the product and the cost was the be all and end all. It has all changed now. While the transaction is still integral, it is just one of the many processes that make the retail business the way it is today.

A shopper not only buys a product from a retail brand, he/she wants to interact and engage with brand across certain stages of the shopping journey which has evolved into a complex, multi-dimensional journey that shoppers embark upon when they want to buy a product. 

This complexity has come in due to the influence of technology into the retail sector leading to substantial shifts in the shopping behaviour. The point to focus is not on the complexity but the opportunities that retailers have to connect with their end customers.

Consider this scenario – a shopper intends to purchase a mobile phone. So he decides to research about the options and varieties online on the website of his preferred retail brand. He is not happy with the options so he decides to further research on a market place online. 

Having shortlisted the devices that he could consider to buy, he visits multiple stores to check out the devices, to have an experience of their look-and-feel. Still not convinced of which one to go with, he goes onto social media and seeks opinions. Moreover, he also checks out information portals that review products.

Now, the above shopping journey is an incomplete one since the purchase has not happened yet, however it is interesting to note the number of times the shopper has interacted with the brand through multiple touch-points. From a retailer’s point-of-view, these are indeed the opportunities for the brand to interact and engage with the customer. 

The above scenario is one of the complex shopping journeys and the complexity can further increase along with the number of touch-points that can be used throughout the entire shopping journey. Again, these are multiple opportunities that retail brands have to interact and engage with the customer and create the impact.

To sum up, as shopping behaviour has evolved, it has provided ample opportunities for retail companies to go beyond the traditional concepts of retailing. Rather, this evolution has enabled brands to meet and greet their customers across multiple stages and touch points of their shopping journey. Ultimately, customers prefer an engaging experience and those brands who will be able to offer that kind of an experience will thrive.

Also Read : From Past To Present To Future, Retail Is Going To Be About ‘location’

Putting AI in Retail

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etp-blog-ai-in-retail

The human brain is more than just an organ – it is a complex system that helps humans to analyze information and take simplified decisions in various situations. But it cannot always gauge all the possible outcomes of a decision and hence our decision-making ability gets limited in certain circumstances. But what we cannot achieve with the powerof our brain is today being achieved by applying Artificial Intelligence (AI). It is much more than neural networks and complex algorithms; it involves enabling machines to take appropriate decisions in all possible circumstances.

With the huge amount of data being transmitted from electronic devices every day, it becomes imperative for the data-driven organizations to collect and identify a pattern in them. But, what exactly could be the advantage of collecting and analyzing data? Well, to predict the future it is necessary to understand the past and the present.

One of the biggest beneficiaries of Artificial Intelligence is physical retail. It is facing immense competition from e-Commerce portals, which not only provide user-friendly shopping experiences but also come up with relevant suggestions for future purchases. The need of the hour for physical retailers, therefore, is to revamp their business processes and come up with innovative measures to provide a more than satisfying customer experience along with an efficient stock management strategy. Artificial Intelligence (AI) can help achieve both. Here is a brief overview of how AI can help drive transformation in physical retail.

  1. Collecting relevant data: Data collection forms the backbone of AI. According to some of the industry stalwarts, “there can be no direct leap to artificial intelligence if substantial and relevant data is not being collected”. Most of the physical retailers lack the indigenous technology to collect and process large chunks of data by themselves. But that should not be considered as a hindrance to AI as there are efficient retail solutions like ETP V5 that can help them collect and process relevant and authentic data.
  2. Personalization: AI can be thought of as a complex algorithm that consists of all possible ‘if-then’ conditions. These conditions can be identified in various ways such as shopping cart analysis, payment preferences and surveys among others. The analysis performed can be used for managing product assortment, customer-specific promotions, and other loyalty programs. Personalization will ensure repeat footfall, which in turn will ensure a healthy bottom line.
  3. Supply chain and inventory management: If a retailer is able to collect relevant data, it becomes easier to maintain a healthy supply chain along with an efficient inventory management system. If the retailer wishes to sell the right product to the right customer at the right time and place, managing inventory across all channels becomes most important. This is indeed a mammoth task that can be eased out using an efficient Omni-channel Retail Solution like ETP V5 which can identify hidden patterns in the customer’s buying behavior and provide relevant suggestions to maintain the right inventory. Maintaining and managing supply chain and inventory are the backbone of a profitable retail venture.

AI has started revolutionizing the way in which physical retailers go about taking business decisions and with the enhancement of customer’s technical abilities, it can be safely claimed that AI will play an important role in the future of retail.

Omni-channel Challenges – Retailers need to tackle the risk

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ETP blog 91-omnichannel-challenges

The customer is at the center of the omni-channel retail experience. The new breed of shoppers – ‘omni-channel shoppers’ are demanding and how. They want seamless shopping across channels – offline, online, mobile, and so on. They want to switch between channels at their own will. They expect hassle-free transactions. And they want all this everywhere and every time. Catering to such kind of shoppers requires retailers to reinvent their strategies when it comes to omni-channel.

Omni-channel shopping is not merely transactional, it is the composite shopping experience where a shopper researches about the product, seeks peer opinions, purchases it, chooses a delivery option followed by after sales service. This entire journey might seem pretty simple but there are challenges that could become deterrents to the seamless shopping experience retailers need to provide to their customers.

One of the main challenges that retailers need to deal with is the random switching of customers between channels during any stage of the shopping journey. So the customer might wish to research online and buy in-store or buy online and collect at the store, and so on. There are endless permutations and combinations of how the customer chooses to interact and transact with the brand. This means the brand needs to be ready and available to the customer at the desired touchpoint and time that the customer demands.

The random switching between channels by the customers can further pose additional challenges. One such being that inventory information across channels needs to be updated and available for the customer to peruse. For example, if a shopper is looking online for a particular brand and model of a mobile phone, she gets the necessary information, compares it with another competitor and finds that the deal is better at the competitor’s end, she may just decide to switch loyalty. So, a lost sale!

Another important challenge is the availability of the product when the customer wants it. The retailer needs to handle order fulfilment according to the timeframe and the channel the customer demands. Order fulfilment has been one of the major issues retailers need to get right when it comes to omni-channel. The right technology can enable retailers to manage omni-channel fulfilment to meet all customer demands.

The essence of omni-channel is unifying all channels so as to provide a seamless customer experience but the multiple touchpoints being used are posing steep challenges. There are other challenges that retailers looking to omni-channelize their business are facing, they will be delved into soon.

Four Emerging Trends in this Revolutionary Era of Shopping

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Everything about how the modern-day consumers research, shop, and purchase is changing, and established retail brands and businesses must learn to adapt. A new era of shopping has emerged leading to 4 trends:

ETP blog four-emerging-trends-in-this-revolutionary-era-of-shopping

From ‘online-To-Offline’ Is Gaining Momentum –

  • Big online-only players such as Amazon are increasingly eyeing and realizing the value of traditional stores to grow and generate profits. In the age of omni-channel retailing, it is insufficient for large e-commerce companies to exclusively sell online as brick-and-mortar stores are the go-to destinations where consumers get the chance to touch and feel the products. 
  • Hence E-commerce players are setting up their own physical stores to allow consumers to try products prior to buying, or they are partnering with local stores to enable shoppers to collect the products they have purchased online. The convergence of the physical and digital channels into a seamless omni-channel world is accelerating.

Stores Stay Relevant, Important, But They Are Evolving –

  • An online only retail world doesn’t seem to be a possibility and brick-and-mortar stores are far from getting extinct. Even today, offline stores continue to drive the overwhelming majority of retail sales globally. 
  • However, stores are no more merely places to make purchases; they are now evolving into entertainment hubs and social destinations allowing shoppers to explore and connect. This new wave of “experiential retail” is fast gaining momentum.

Delivery Options Are Growing And Time Frames Shrinking –

  • Urban online shoppers today can expect same day deliveries and next day deliveries after placing an order thanks to retailers exploring new options of delivering packages more efficiently and economically. 
  • Retailers are trying to further reduce delivery time frames with the help of existing logistics partners or signing on with startups. And while groundbreaking technologies such as self-driving cars and delivery drones could revolutionize delivery, retail companies are using the right technologies enabling products ordered online to be collected at the stores in a matter of hours.

Shopping Patterns Are Changing Globally –

  • None of the above trends are restricted to a particular region or a single market. Similarly, innovation is not limited to any one region. 
  • For example, China was where expansive urban delivery networks made same-day e-commerce deliveries common in large cities, and it was there that the term ‘online-to-offline’ originated. Also, in other retail markets around the globe, the connection between e-commerce and brick-and-mortar retail stores is swiftly growing in importance.
  • The bar for retail brands and businesses has been raised higher today than ever before and at the same time, business growth and increase in profitability remain elusive for even the most forward-thinking companies. 
  • In order to compete, retailers are getting more creative in their strategies of how they plan to leverage the opportunities of both online and offline channels. While doing so, they are thinking of redefining the in-store customer experience, preparing for rising delivery expectations, and merging the online and offline channels so as to function seamlessly. 
  • Consumers are connected, technology savvy, and well-informed. They are demanding a rapid change and retail brands are responding. A new era of shopping has begun!

Also Read : 3 Ways To Help Shoppers Buy More And Buy Fast

Online In-Store – Shopper’s Paradise

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ETP blog online in-store

Smartphones are getting smarter and making their users more savvy shoppers. Today, customers research, review, compare, purchase products online and in-store. Research shows more than 80% shoppers use their smartphones in-store, while shopping. The customer’s mobile is the starting point of most shopping journeys. It begins with searching about the various categories of interest. The search leads to the customer browsing deeper into the product information, while in the physical store, and ready to make the purchase.

Most shoppers use their phones to ascertain pre-shopping information like searching the store location and timings, comparing prices and understanding the store or brand specific promotions and ensuring the product availability at the store. Customers who use mobiles more often buy more. This is seen across product categories like health and beauty, electronics, home care and appliances. Browsing through substantial product information and reviews surreptitiously influences customers positively and removes any doubts regarding a purchase. Sometimes, customers also buy experience enhancing accompaniments for the selected products after reading about them online.

Mobile technology in retail is impacting a broad spectrum of business functions such as campaign and promotion management, customer service and acquisition, retention and loyalty management, space planning and optimization, operational processes, demand and supply forecasting, inventory management, security management, etc. Retailers are focusing strongly on mobile connect and analytics to gain actionable customer insights out of the enterprise data. For this, mobile technology like mPOS and beacons are being introduced into the retail store to deliver superior shopping experiences.

Also Read: How Can Retail Leverage The Benefits Of Blockchain