Augmented Reality AR Archives

How AI Can Solve the Discoverability Problem for Retailers: Bridging the Language Gap

Posted on November 21, 2024 by Omprasad Devadiga

In today’s digital age, consumers have access to an unprecedented amount of information. However, this abundance of choice has also created a new challenge: discoverability. Retailers, both big and small, struggle to connect with their target audience and ensure that their products are found by the right people at the right time.

The root of this problem lies in the language gap between customers and brands. Customers often use natural language to describe their needs and preferences, while brands use product descriptions and keywords optimized for search engines. This mismatch can lead to missed opportunities and frustrated customers.

The Role of AI in Bridging the Gap

Artificial Intelligence (AI) has emerged as a powerful tool to address this language gap and improve discoverability for retailers. By leveraging advanced algorithms and machine learning techniques, AI can help retailers understand the nuances of customer language and match it to the appropriate products.

Here are some specific ways AI can be used to solve the discoverability problem:

Natural Language Processing (NLP):
- Semantic Search: NLP enables retailers to understand the underlying meaning of customer queries, beyond just matching keywords. This allows them to identify relevant products even if customers use different phrasing or synonyms.
- Sentiment Analysis: By analysing customer reviews and social media conversations, retailers can gain insights into customer sentiment and preferences. This information can be used to refine product descriptions and marketing strategies.
- Intent Recognition: AI can identify the intent behind customer queries, whether they are looking for a specific product, seeking advice, or simply browsing. This helps retailers provide more targeted recommendations and personalised experiences.
Machine Learning:
- Product Recommendations: Machine learning algorithms can analyse customer purchase history, browsing behavior, and demographic information to recommend relevant products, helping customers discover new items and increasing sales.
- Personalised Search: By understanding individual customer preferences, machine learning can personalise search results to deliver more relevant and engaging experiences, reducing the time needed for customers to find what they need.
- Dynamic Pricing: AI-powered dynamic pricing algorithms can optimise pricing strategies based on real-time demand, competitor pricing, and customer behavior, helping retailers stay competitive and maximise revenue.
Computer Vision:
- Visual Search: Computer vision allows customers to search for products using images rather than text, which is especially useful for fashion and home decor retailers where visual aesthetics are crucial.
- Image Recognition: By analysing product images, AI can identify relevant attributes and keywords, making it easier for search engines to index and rank products.

How AI is Revolutionising Retail Operations

Artificial Intelligence (AI) is reshaping the retail landscape, offering innovative solutions to optimise operations and enhance customer experiences. By harnessing the power of AI, retailers can gain deeper insights into their business, make data-driven decisions, and streamline processes.

Predictive Analytics for Enhanced Demand Forecasting: AI-powered predictive analytics empower retailers to accurately forecast demand, optimising inventory levels and preventing stockouts or overstocking. By analysing historical sales data, market trends, and external factors, AI algorithms can predict future demand with remarkable precision, enabling informed procurement, production, and pricing decisions.
Supply Chain Optimisation for Efficient Operations: AI is revolutionising supply chain management by streamlining operations and reducing costs. Machine learning and advanced analytics allow retailers to optimise inventory, improve order fulfillment, and minimise transportation costs, freeing up valuable time and resources.
Enhancing In-Store Experience with AI-Powered Solutions: AI transforms the in-store shopping experience through personalised recommendations, efficient checkout processes, and improved customer service. Computer vision can analyse customer behavior to provide tailored recommendations, while AI-powered self-checkout systems streamline the checkout process and reduce wait times.
Combatting Retail Theft with AI-Driven Surveillance: AI-powered surveillance systems combat retail theft by detecting suspicious behavior in real-time, alerting security personnel, and optimising store layout to address high-theft areas with targeted security measures.

The Future of AI-Powered Discoverability

As AI technology continues to advance, we can expect even more innovative solutions to the discoverability problem. Some potential future developments include:

Voice-Activated Search: Voice assistants powered by AI enable customers to search for products using natural language, making the shopping experience even more convenient.
Augmented Reality (AR) and Virtual Reality (VR): AR and VR can provide immersive shopping experiences, allowing customers to visualise products in their own environment.
AI-Powered Chatbots: Chatbots provide real-time customer support, answer questions, and offer personalised recommendations.

By embracing AI, retailers can bridge the language gap between brands and customers, improve discoverability, and ultimately drive sales and customer satisfaction.

Internet of Things (IoT) in Retail – Self-checkout Kiosks

Posted on September 16, 2023September 16, 2023 by admin

IoT has emerged as an undisputed hero of the retail sector. From smart shelves to AR-enabled mirrors, IoT has taken retail by storm. It has not only reaped benefits for the retailers, but also has been successful in providing an enthralling shopping experience to the customers.

Smart shelves have already revolutionized the way retailers assort their products without having an adverse impact on their bottom lines. Another exciting offering from IoT is self-checkout kiosks. To put it simply, self-checkout kiosks help customers pay for their purchases without human intervention through digital means. In its most basic form, it can be thought of as an upgrade to the snack vending machine, but in reality, it is much more than that.

Self-checkout kiosks have evolved tremendously in the last decade. Many retailers use them to solve various issues related to billing such as long queues, cash management, RFID tag tracking among others. They have not been restrained to just being giant bulky machines that are capable of handling transactions. Nowadays, retailers can also provide mobile application based payments through QR code embedded on the products, contactless payments or such other means. This application enables customers to check out as and when they want instead of waiting for their turn in a queue. Though not exactly a kiosk, it enables self-checkout quite effectively.

Retailers have also come up with some really user-friendly LED touchscreen panels, which help customers make their purchase in a hassle-free manner while having a memorable shopping experience. These interactive kiosks are capable of handling multiple payment modes and can also keep track of the customers’ previous purchases and preferred promotions using an intelligent algorithm.

However, the problem associated with self-checkout kiosks is products being stolen. This can be taken care of by using smart shelves or by attaching efficient RFID tags, which would impel customers to put their products on the RFID remover once they are done with the payment, thus ensuring the safety of the products. Also, some customers might find them difficult to use, this issue can be resolved by installing LED touchscreen kiosks or by using mobile applications as explained earlier.

IoT is here to stay. It helps retailers to embark upon a journey that is both exciting and beneficial for them. It is the prerogative of the retailers to incorporate such smart technologies in their business operations to enhance their bottom line while providing the customers with a hassle-free and exciting shopping experience. Long live innovation! Long live retail!

Also Read: 7 Trends Shaping Asia’s Future Retail Landscape

Augmented Reality – the new normal in retail

Posted on September 15, 2023September 15, 2023 by admin

There has been a complete turnaround in the way retailers go about carrying their businesses in recent years. From quick online payments to fast product deliveries, retailers have incorporated various disruptive strategies to provide a hassle free shopping experience. But there are various other technological advancements that facilitate retailers in streamlining their business processes. One such advancement that has proved to be quite successful for retailers is Augmented Reality (AR).

AR as the name suggests augments or enhances our surroundings by enabling us to interact with the products we wish to purchase. Now, one may wonder why we need an enhanced environment for interacting with the products. Well, the idea is pretty simple, customers often search for the desired products online before making a purchase. However, it is difficult for them to understand the features of the product completely, resulting in a lost sales opportunity for the retailers. To not miss out on an online sale, it is imperative for the retailers to find newer avenues that lure the customers to make the purchase. In an era where handheld devices are commonplace, it easier for them to develop an application or an e-commerce website that can access the front/web camera of the customers’ devices and allow them to look at themselves interacting with the product through AR, thus, making it more easier for them to make the buying decision and thus, the purchase.

It is not limited to mobile applications and e-commerce websites; retailers having brick-and-mortar stores too can adopt this technology. For instance, apparel retailers can embed AR technology with their store mirrors converting them into smart mirrors. This helps people to experience the products without actually trying them. It is a great technological advancement that can also be used as a marketing tool as it impels customers to experience this at the stores. It helps in increasing the store footfall which in turn increases the chances of people making a purchase, resulting in an improved bottom line for the retailers.

AR also enhances the efficiency of the store in which it is used. It saves the customers’ time as they are not required to try out every product physically, resulting in less number of people queueing outside the trial room. Moreover, in a short span, a wide variety of products can be tried which allows the in-store staff to better understand the requirements of other customers, thus eliminating the possibility of a customer being neglected.

AR along with various other technological advancements has changed the scenario of retailing worldwide. It has been embraced by some of the biggest retailers across the globe and is all set to penetrate further into the retail space. Retailers should keep themselves abreast with such technological advancements since these shall become indispensable for them to maintain a prominent stature in the dynamic retail space.