Conversational AI Platform for E-commerce & B2C Chatbot

There are a number of ecommerce businesses that build chatbots from scratch. But that means added time and resources to implement a chatbot on each channel before you actually begin using it. And the good thing is that ecommerce chatbots can be implemented across all the popular digital touchpoints consumers make use of today.

A service company with a product mindset developing custom digital experiences for web, mobile, as well as AI-based conversational chat and voice solutions. Getting started with chatbots has become easier with the rise of numerous platform solutions that help businesses build chatbots. However, most of these “pre-built” chatbots do not leverage conversational AI which is responsible for the life-like conversations and thus may not be as successful. Ralph, an AI chatbot deployed on Facebook Messenger helps users find the right Lego set, and right off the bat, it was an overwhelming success.

It’s imperative at this moment to reinforce their decision by highlighting the value your offering provides. Utilize your chatbot to share customer testimonials and positive reviews, showcasing real-life satisfaction and success with your product. By providing this reassurance and social proof, you’ll strengthen their confidence in your offering and encourage them to choose you over your competitors. Now that a customer is aware that your product or service can fulfill their needs, they will look forward to gaining more information about your offerings. They may have some queries and you will have to respond quickly as 82% of customers expect immediate responses. Conversational commerce tools enable you to stay available for your customers on their preferred channel 24x7x365 and provide instant answers to their questions.

The good news is that there’s a smart solution to do it all at scale—ecommerce chatbots. Customer support has evolved in numerous ways, from keeping customers on hold to responding to them immediately, support has come a long way. Conversational support is a niche term that refers to the ability of businesses to provide support over messaging platforms. This means instead of calling a company, customers can easily get in touch with them over messaging platforms like WhatsApp and Facebook Messenger. Let us look at some ways to use conversational commerce along with marketing and reach out to customers with products of their choice. The messaging apps also enable instant and real-time communication between businesses and customers.

With the help of chatbots, you can collect customer feedback proactively across various channels, or even request product reviews and ratings. Additionally, chatbots give you the ability to gauge negative feedback before it goes online, so you can resolve a customer issue before it gets posted about. You can use a chatbot to answer queries around sizing guides, product variants, pricing, and ongoing discounts they can redeem, or even make product recommendations based on what they’re looking for.

Integrate and elevate customer experiences

Haptik’s partnership with CEAT, a leading tire manufacturer, led to impressive results. With an AI-powered chatbot, CEAT experienced a lead-to-conversion rate of 21% and achieved a remarkable 75% automation rate. You can foun additiona information about ai customer service and artificial intelligence and NLP. Haptik’s solution not only enhanced customer experience but also drove additional revenue by promoting special offers and discounts. Virtual Sales Agents also excel at up-selling and cross-selling, identifying opportunities to increase revenue per customer and executing them at scale.

Clearly, ecommerce businesses looking to stand out from the crowd can benefit from this emerging technology too. Generate leads and improve your conversion rate with an AI-powered chatbot. Offer 24/7 sales support, suggest and recommend products in a chat conversation. This means you are not forced to interact with a blank chatbot without context – assists usually come with an understanding of what the user is trying to do. Algolia takes trust and safety very seriously, and our customers expect nothing less. Our Conversational and Generative AI features are designed with stringent guardrails that ensure trust and safety for our customers and their end-users in such a way that it enhances the user experience further.

But investing in the right conversational commerce technology can help bridge the gap with e-commerce personalization. This is because conversational commerce naturally helps personalize customer experiences. The two-way nature of the AI-generated conversation helps you identify exactly what customers want and deliver that item or service, as well as store the customer data for future use. Additionally, Chat GPT conversational commerce is another avenue for brands to leverage customer data to increase customer satisfaction and keep customers coming back to buy again. Using generative AI to automate customer interactions makes everything on the customers’ end more user friendly. Conversational AI fosters higher levels of user engagement by providing immediate and personalized assistance.

With information on customer purchase patterns, online behavior, and preferences, conversational AI can pitch products to increase average order value and maximize revenue potential. For the uninitiated, conversational AI allows brands to simulate human conversations to instantaneously and meaningfully interact with customers. Here’s a deeper look at how conversational AI can increase eCommerce sales.

There is no easier way to streamline a shopping experience in the age of generative AI than adopting a conversational commerce strategy. Enhanced customer engagement is byproduct of your e-commerce business investing in conversational commerce. Health insurance giant Humana has been using a type of conversational AI to improve the experience of its members by helping them to access care more easily.

Tips for the best use of chatbots in ecommerce

For example, a shopper can upload an image of their favorite celebrity wearing a trendy outfit and ask a digital concierge to recommend similar items. Ricci pointed out on the podcast that the first companies using a conversational strategy to care for their customers were not actually companies trying to sell their products online. There is so much data informing the process and generative AI has such a deep understanding of how human beings speak that you can now interact in the two-way messaging as you might with a friend or colleague.

Nowadays, there are ready-made solutions that you can use to support your team and drive sales results. Modern AI tools can still rely on human-made responses with their main focus on ticket routing and making sure that your employee won’t miss any support requests that need immediate attention. Manual classification in this area can be error-prone, so in this area, it’s actually better to rely on artificial intelligence to sort through the support tickets. Having a conversational commerce platform would enable your business to use conversational AI to generate an in-depth strategy to better serve your customers. Omnichannel marketing efforts can be easily scaled by integrating generative AI tools into your SaaS platform.

As chatbot technology continues to develop, we can expect to see even more sophisticated and personalized customer experiences. – Enable voice-activated shopping experiences, allowing customers to place orders or inquire about products using voice commands. For product descriptions, they use fine-tuning, a process to make conversational ai for ecommerce AI understand their style and language. This helps create accurate and engaging descriptions for their large inventory. AI-generated descriptions were even better than human-written ones in tests. Stitch Fix’s approach involves both artificial intelligence and human experts, making content that keeps getting better.

Conversational commerce: The complete guide to commerce solution

It offers a variety of rich features, like reaching customers via text or using a QR code. Moreover, you can redirect people who click on your ads straight to the Messenger bot and automate replying to FB comments. Apart from Messenger and Instagram bots, the platform integrates with Shopify, which helps you recover abandoned carts. Data is the one that creates better shopping experiences by making personalized engagements, product recommendations, targeting ads, understanding what customers need, and more that I cannot list here.

In the bustling world of ecommerce, providing a seamless user journey is key to boosting revenue and fostering customer loyalty. Enter AI chat and shopping assistants, your ecommerce platform’s best ally. An AI chatbot can instantly engage them, offering personalized recommendations based on their previous interactions and preferences. This not only frees up human agents to handle more complex queries but also ensures customers find the relevant answers they need without delay. An AI chat and shopping assistant is a tool powered by artificial intelligence designed to simplify online shopping experiences. By handling routine tasks and customer queries efficiently, they enhance customer satisfaction and engagement, making shopping online easier and more enjoyable for everyone.

AI chatbots use a combination of NLP, machine learning, and a structured knowledge base to handle complex queries. They analyze the query’s context, match it with relevant information from their knowledge base, and if needed, escalate the query to a human agent for further assistance. AI-driven push notifications are highly effective for re-engaging customers. By analyzing past behaviors and preferences, AI chatbots can send personalized messages about deals, new arrivals, or abandoned cart reminders. As mentioned above, conversational AI tools should always be supervised by humans and be – first and foremost – the extensions of what they can achieve.

After Sales Service is a major determining factor in repeated sales and customer retention. Consumers want immediate response and the vast majority of the time, their queries can be answered by a chatbot based on conversational AI. Simple user questions may be handled by chatbots, freeing up human customer service personnel to tackle more complicated concerns.

Anxious customers can also avoid contacting humans via phone or email by talking to a chatbot. It will work every day for 24 hours and will never get tired or need a vacation. It is reported that high shipping charges is the top reason why users abandon their carts at the payment stage. AI Assistants effectively help eCommerce brands in decreasing cart abandonment rates by sending reminders, offers, and discounts to them on their preferred channels of communication.

Some of our e-commerce clients including Sephora, Hyundai, Domino’s have delivered millions of seamless shopping experiences leveraging conversational AI. Co-browsing or collaborative browsing enables live agents to assist customers by acting as their personal shoppers. It basically allows simultaneous navigation of any web page by agent and the customer. Co-browsing combined with other applications such as video chat lets the agent provide a human touch to the online shopping process. Also, co-browsing is completely secure, as during the session the agent can not see any other data on the client’s device.

Inclusivity can help in expanding your reach and building a diverse customer base, which can ultimately drive sales and brand loyalty. Using conversational commerce is the new way to market products from your virtual store. From websites to social media, all the platforms can be well-integrated with conversational AI tools and can be leveraged in upselling, cross-selling and marketing products. AI-powered chatbots are invaluable for automating responses, handling common queries, and providing instant assistance. However, a truly exceptional customer experience often requires a personal touch.

This can save your commerce-driving team time and money when creating marketing campaigns, and will also ensure that the assets being created for those campaigns best fit the segments they’re targeting. Here are some of the best strategies and use cases to optimize your customers’ experiences with conversational commerce. Our interactions with the search bar may grow to include options for two-way conversation thanks to the impact that ChatGPT and other generative AI tools will have on commerce search. In addition to its traditional one-way use, businesses may now also offer a two-way conversation prompted by a customer’s search. Generative AI facilitates actual conversations in conversational commerce and helps brands deliver on the actual promise of being conversational in their strategies.

More advanced ones can advise customers to buy certain items based on their cart content or purchase history. With Snatchbot, e-commerce businesses get their hands on chatbots that combine ML, NLP, and voice recognition technologies. The platform offers many e-commerce chatbot examples, facilitating straightforward and quick fine-tuning for individual needs.

It’s no different with conversational commerce, and that’s why it has seen significant growth, with projects expected to grow even more rapidly over the next few years. Global spending for conversational commerce was $41 billion in 2021, but is projected to increase to $290 billion by 2025. Despite all the hype and fear mongering surrounding AI tools and tools like ChatGPT, there’s no mass replacement happening (at least, not yet…). Actually, when AI is used as an assistant, it can improve the performance of your sales and support teams, and even the efficiency of your overall sales funnel. NLP tools using AI are constantly learning from both user data and reinforcement from developers, so they continue to get better as you use them.

Giosg AI chatbot for eCommerce uses Natural Language Processing(NLP) to match customer questions to requests in its knowledge base. Enter Giosg AI enables you to build knowledge bases with your chat logs and live conversation history. English is a language with a very wide reach, no doubt; however, some customers might prefer communication in a native language. To breach the language barrier, an eCommerce AI chatbot must possess multi-language support for the elementary kind of requests at least. Discover how GyataGPT transforms lead generation processes by infusing intelligence into forms, providing organizations with a powerful tool to optimize customer acquisition and engagement. Visual representations showcase how GyataGPT’s Intelligent Chatbots integrate with E-commerce platforms, providing a user-friendly and visually appealing experience.

Experience efficiency like never before with GyataGPT, as it significantly reduces response time. Swift and real-time interactions ensure that customer queries are addressed promptly, leading to a more streamlined and responsive customer support system. About 61% of businesses engaged in social selling reported increased revenue than their counterparts that fail to capitalize on it. Such a trend makes sense considering how social media platforms are the new marketplaces. Conversational AI integrates natively with such channels to increase business outreach and accessibility. In addition to embracing the role of a recommender system, conversational AI can also unlock upselling and cross-selling opportunities.

To combat high-effort service interactions and the churn that comes along with it, many brands are turning to conversational AI to help simplify experiences for customers. In the Zendesk Customer Experience Trends Report 2022, 66 percent of customers said AI makes their lives easier. They also credit AI for saving them time and effort while also elevating the overall service experience.

Furthermore, push notifications about deals, restocks, and new arrivals delivered by chatbots can keep shoppers informed and lure them back into the sales funnel. This ongoing interaction encourages repeat purchases and has the potential to boost customer loyalty in the long run. Keep up with emerging trends in customer service and learn from top industry experts.

Through real-time interactions, chatbots guide users through the shopping process, address queries, and offer support, keeping them engaged and informed at every step. An eCommerce bot brings the experience of interacting with a helpful and knowledgeable sales assistant to the digital world. The eCommerce chatbot can interact with customers, understand their requirements based on the conversation, and offer relevant product recommendations. Over the years, chatbots have been employed in the customer service sector of different industries and have provided automated and reliable 24/7 customer support. Ecommerce is one such industry to employ conversational AI chatbot solutions.

This frees up human agents to tackle more complex issues, enhancing the overall effectiveness and responsiveness of your customer support. And improves the service experience as nearly 60% of customers feel that long wait times are the most frustrating parts of a customer service experience. The new offers were a hit with shoppers, but they also led to an overwhelming amount of questions and enquiries about the delivery process. Thanks to Kindly’s Conversational https://chat.openai.com/ AI Chatbot, Helthjem successfully automated responses to these frequently asked questions and reduced the number of inbound enquiries routed to customer support by 30%. In order to increase conversions and purchase rates, you first need to increase the amount of time that people spend on your website. If the goal of conversational commerce is to build real relationships with customers, they need to put in the time on your site to establish those relationships.

For instance, the bot will provide one-touch access to the FAQ area when a consumer chooses a specific product. Additionally, if clients need more information, the chatbot can quickly process the input and deliver the needed details. As a result, the eCommerce chatbot’s user interactions streamline the purchasing process, increasing user engagement and revenue. With an eCommerce chatbot, you can say goodbye to the day-to-day back, and forth you and your agents usually have with customers.

Customers no longer have to worry about picking up the phone, returning an email, or even driving to a brick-and-mortar store to complete a purchase anymore. Everything — from product discovery to payment — can now happen via two-way communication thanks to AI-powered conversational commerce. Conversational commerce utilizes a myriad of tools to create an interactive dialogue and experience between e-commerce businesses and their customers. Aside from freeing up your staff to tackle more complicated issues, conversational AIs can help you rescue revenue from the large percentage of your site visitors who lose their search intent. By leveraging data on previous user behavior, tools like Rep’s AI concierge can intervene at just the right moment to keep potential customers from bouncing — in May 2023 it rescued $890,532 alone.

This platform allows companies to improve their customer reach through the power of AI. Engati helps run campaigns, build chatbots, and offers live chat support and other tools. E-commerce businesses use it to create bot conversation flows and browse available templates.

There’s no dearth of using AI in ecommerce examples but not many ecommerce businesses get it right at first go. Hurried implementation, lack of planning, and improper resources/time are the major contributors to a failed AI implementation. Ecommerce brands must capitalize on every customer who intends to buy products. They must sufficiently stock in-demand products depending on the changing customer needs. An automation tool can automatically trigger an abandoned cart email if the customer is active on a webpage but has not completed the purchase yet.

• Previously, you’d then go through your CRM, 3rd party trackers, and the platform’s analytics tools to uncover information about your different consumer segments.
• Conversational AI is capable of understanding and engaging in more nuanced, human-like conversations.
• Or your team struggles with regularly updating CRM with essential customer details?
• Using this information, it enhances their experience when they look at various products.

Overcoming the challenge of integrating chatbots seamlessly into customer conversations requires businesses to strike the right balance between automated responses and human assistance. Hybrid chatbots, combining AI capabilities with human oversight, can address complex customer questions while maintaining a personalized touch. Chatbots provide instant responses to user queries, ensuring timely assistance and support around the clock. Whether it’s during regular business hours or outside of them, users can rely on chatbots to address their concerns and provide assistance in real-time, enhancing the overall user experience. Through data analysis and natural language processing, the system gains the ability to understand a query and generate relevant responses.

In this case, the chatbot does not draw up any context or inference from previous conversations or interactions. Every response given is based on the input from the customer and taken on face value. To be able to offer the above benefits, chatbot technology is continually evolving. While there’s still a lot of work happening on the automation front with the help of artificial technology and machine learning, chatbots can be broadly categorized into three types. Chatbots have become popular as one of the ecommerce trends for businesses to follow. A recent Business Insider Intelligence report predicts that global retail spending via chatbots will reach $142 billion by 2024.

Download our whitepaper now to gain valuable insights into the technical intricacies and practical applications of Conversational AI. Elevate your customer service, optimize your sales strategies, and drive customer satisfaction to new heights. Ask the right questions and show the right product that
best suits your customer’s needs. It is like having a virtual sales representative on your site 24/7 who helps your
online customers in and out. Carl works with Bloomreach professionals to produce valuable, customer-centric content. A trusted expert with over 15 years of experience, Carl loves exploring unique ways to turn problems into solutions within digital commerce.

Starbucks has dedicated a separate chat window on their mobile application for customers to order their morning coffee. This “virtual barista” lets its users place orders and pay through the app so as to streamline the entire sales process. Let us look at some practical examples of conversational commerce being used in businesses and understand the results. Crafting a compelling narrative that aligns with your brand voice is key to resonating with your audience. Whether it’s witty, formal, or friendly, maintaining consistency across all conversations will help build trust and loyalty with your customers. Abandoned carts are very common and this only means, your customers need that extra push to complete the purchase.

When the time comes to get started, we at Kindly are here to help you build a Virtual Shopping Assistant tailored to your unique brand needs. As we first said in this article, e-commerce customers are not very easy to deal with, and providing the best shopping experience can really be challenging. Conversational AI chatbots have proven to be invaluable in the e-commerce sector. Because they have the capability to analyze customer data, including behavior, history, and preferences. Conversational AI is capable of understanding and engaging in more nuanced, human-like conversations. They don’t just follow automation and ready-to-use answers; they learn and adapt, making them sufficient for providing personalized shopping advice or handling complex customer issues.

They work thanks to artificial intelligence and the Natural Language Processing (NLP) message recognition engine. The platform offers an easy-to-use visual builder interface and chatbot templates to speed up the process of creating your bots. In addition, you’ll be able to use Lyro, Tidio’s conversational AI capable of answering client questions in a natural, human-like manner. Integrating AI chatbots like Watermelon can revolutionize customer service and sales.

Innovative solutions for current business demand in modern consumer behavior. For a hands-on experience of how Conversational AI can revolutionize your eCommerce business, Explore our AI solutions – Request a demo today. Chatbot deployments require ongoing training and optimization to ensure optimal performance.

Leveraging advanced natural language processing systems, Conversational AI delivers a tailored experience to each user. By analyzing user data, preferences, and browsing behavior, chatbots offer relevant product recommendations and suggestions, creating a personalized shopping journey that resonates with individual users. One of the key strengths of Botpress is its advanced natural language processing (NLP) capabilities. This feature enables the chatbot to understand and respond to customer inquiries with a high degree of accuracy, providing a seamless and intuitive user experience. For eCommerce sites, this translates to improved customer service, enhanced engagement, and potentially higher conversion rates as customers receive instant, relevant responses to their queries. Pandorabots is targeted at developers and customer experience(CX) designers, at that, it is not beginner-friendly.

This conversational AI for ecommerce can bring life to a static online store. A sense of presence is often comforting and reassuring, which is important for building user trust. In the ever-evolving world of digital marketing, acquiring high-quality leads and converting them into loyal customers is the ultimate goal. By leveraging natural language processing and machine learning, Conversational AI engages in meaningful dialogues, understanding customer needs, and nurturing leads in real time. Another rule-based chatbot on our list offers a fast and affordable way for e-commerce businesses to improve customer experience.

If however, the customer has a question that Tinka cannot answer, its LiveAgent Handover feature seamlessly transitions the conversation to a human agent without the customer having to do anything. Despite all of the advancements, online shopping is still (and likely will be for the near future) a one-sided experience. None of the traditional methods of customer engagement are compatible with the eCommerce business model — but that didn’t stop Aveda from trying. Instead of developing a new Generative AI chatbot from scratch, Master of Code Global recommends enhancing an existing bot (if you have one) with this technology. However, if you don’t have one, Master of Code Global suggests developing a Conversational AI in retail or eCommerce market specifically designed for your needs.