AI Development Integrate AI Chatbot for eCommerce Platform: A Must-Have Shopper Intelligence

eCommerce Platform is not only a product journey from warehouse to customer. It is an all-inclusive management that must be updated invariably.

What happens when an AI chatbot for ecommerce comes into existence? The whole dynamics of the industry witnesses a transformative experience. 

From consumer personalization to support assistance, and product recommendation to supply chain management. Everything leaped 10 steps ahead with AI in eCommerce. 

If we are to list out the competitive benefits of eCommerce chatbots, they will go like this: 

• Product Description
• CRM Integration
• Product Recommendation
• Supply Chain Management
• Consumer Engagement 
• Risk management
• Automated Search
• Bilingual Support
• Voice Shopping
• Feedback Mechanism

Yet, these are not the all. The opportunity of AI assistants for ecommerce is infinite. To leverage automated and suggestion-based mobile-first shopping experience, AI is very integral. 

As the Co-Director of Stanford’s Human-Centered AI, Fei-Fei Li says, “I imagine a world in which AI is going to make us work more productively, live longer, and have cleaner energy.”

So, let’s take a deeper dive into the subject and discuss it more. 

The Statistics Advocate for Integrate AI Chatbot for eCommerce Platform

Research Says, the AI supply chain market at global level is projected to grow till $157.6 billion from $ 4.5 billion across 2023-2033. The estimated growth rate will be around 42.7 % during this transforming period.

As per the Gartner report, Artificial Intelligence will cause an acute rise of 25% in customer satisfaction, revenue generation, and budget management. 

Another research says that the eCommerce AI market will reach around $45.72 by 2032. 

A BusinessDasher report says that the AI-driven eCommerce market size has been estimated to reach $16.8 billion by 2030, exponentially growing at a rate of 15.7% CAGR in the next couple of years. 

A study says that 34% of global Amazon sellers are proactively using AI for writing the product description and listing optimization. 14% of them are skillfully using Artificial Intelligence technology to foster efficient social media campaigns. 7% of the total Amazon sellers are  using AI for performing keyword research, organic campaigns, and SEO activities. 

eCommerce Chatbots: Know Their Utilities Across the Industry

Bot Persona

Do you want your shopping chat support to speak like humans or a dumb machine? Customer-centric conversational commerce is a game changer in the global business arena. 

A “bot persona” enables AI bots to facilitate human-like conversation. The integrated Natural Language Processing (NLP) helps chatbots for eCommerce websites to comprehend native language and respond accordingly.

The keen assistance from conversational AI on product recommendation, product discovery, problem solving, and purchase procedure is a wholesome human-like-machine experience.  

Customer Insights

Best is the shopkeeper who instantly understands the taste, intent, and problems of the buyer. Artificial Intelligence can perform the same. 

AI chatbots for ecommerce evaluate customer needs across navigation, purchase, and after-delivery support. 

It gains actionable insights on potential clients, analyses their demographic preferences, curates a list of suggestions, and delivers notifications as per the preferences. 

Cart Management 

Imagine a customer navigating your website for her wedding shopping. How difficult would it be for her to manage the app cart?

BROWSE….ADD….REMOVE….ADD….BROWSE….ADD….REMOVE….This must be something that she is going through. 

AI for e-commerce mitigates this issue. Answering product-related questions, offering personalized suggestions, informing about ongoing and upcoming offers, and letting them start from where they left off. All these functionalities are available with AI assistants for e-commerce. 

Lead Conversion

Customers are impatient these days. The quicker they find their product, the higher the possibility of purchase. 

Traditional eCommerce may or may not fulfill this need. However, AI assistant chatbots are the perfect solution to this problem. 

An AI chatbot for e-commerce would conduct a background analysis of visitor’s preferences & demography. Giving the suggestions as per the demographic preference would improve the rate of conversion. 

Cross-Selling & Up-selling Opportunities

Cross-selling and upselling are the two revenue streams of eCommerce that are massively augmented by AI assistant chatbots.

Here you influence the customers to either purchase a better product or additional product. For instance, a customer who has added formal shoes to his cart can be pitched either with better shoes or products like socks, shoe-brush, and shiner along with the chosen shoe. 

But why choose the best eCommerce chatbots for these tasks? 

Continuous Interaction

With real-time engagement with customers, AI chatbots for eCommerce offer instant suggestions before cart checkout or payment initiation. Such quick suggestion pop-ups are only possible by eCommerce chatbot enforcement. 

User Personalization

As we discussed before, personalization is possible when you analyze the customer’s search data, purchase history, and frequent choices. AI for eCommerce is best for user personalization paving cross-selling revenue. 

Effective Data Utility

AI bot for sale effectively integrates with Customer Relationship Management (CRM), leverages customer data, and drives actionable insights to foster unbeatable up-selling and cross-selling strategies. 

24*7 Availability

A brick-and-mortor store cannot stay active 24*7. On the other hand, an eCommerce chatbot can process automated round-the-clock upselling. Being a technical bot, ecommerce chatbot can work across any geographical time, location, and marketplace. 

Must Read: Cost To Build An AI Chatbot Generator Like Chatbase?

Buyer at First Sight to Buyer at First Choice!

The two very important terms, “Buyer at first sight” & “Buyer at first choice”, always linger in the eCommerce industry. 

Suppose a customer enters a shopping mall. He toils down to the men’s section to buy a fancy leather jacket. Fortunately, the jacket that he had in the back of his mind was available in the first cloth rack. 

Was it luck or a deliberate marketing strategy? Of course a sheer LUCK!

However, things are not the same in eCommerce businesses. Here you can use AI assistant chatbots to actually put the jacket on the first rack. 

This is called BUYER AT FIRST SIGHT.

A buyer-first sale strategy where the preference of a visitor is positioned at the first queue to ease his shopping journey, save time, and build trust. 

A continuous hassle-free shopping experience will make him a loyal consumer of your brand. Consequently, he will start visiting your platform before approaching other websites.

Now, he is a BUYER AT FIRST CHOICE (The one who chooses your platform as a first-choice brand before visiting other marketplaces). 

Step-by-Step Guidelines to Implement Best AI Chatbots for eCommerce

Step 1: Identify Goals & Objectives  

The first step is understandably knowing the purpose of building the eCommerce chatbot. The more objective-defined your planning is, the better will be the development strategy. The goals might be customer support automation, improved user experience, high-volume lead generation, or automated up-selling and cross-selling. 

Step 2: Define Data Sources      

Mark the information points which are required to build the chatbot. Let’s say you are targeting the customer support vertical of your eCommerce website. The information baseline will be order status, order delivery, password reset, account issues, multi-factor authentication, ID verification, offers & discounts. 

Step 3: Choose a Development Platform

After defining the goals and data sources, it’s time to choose a feasible development platform. 

There are a few things that you must take into account. 

• Features and functionalities
• NLP capabilities
• API integration
• Database integration
• Sentimental analysis
• Bilingual support
• Platform to database compatibility
• Platform performance and scalability 

Step 4: Development

The development stage will go through two major stages, AI development and chatbot development. 

AI development will involve preparing datasets for AI training to ensure that your AI chatbot for eCommerce is engrafted with every information required across the system. 

Next, the eCommerce chatbot development involves the integration of AI models across the chatbot solution. 

Once both the development stages are complete, you can proceed to the testing phase. 

Step 5: Testing

In order to ensure the functionality and effectiveness of your chatbot, you have to make it go through a formal testing process. The ideal testing verticals are performance testing, security testing, unit testing, integration testing, and functional testing. 

Step 6: Launch

After development and testing, it’s time to successfully launch the chatbot. You have to make a proper marketing plan to squeeze the best out of AI eCommerce platforms. 

Step 7: After-Delivery Support

Post launching your chatbot, you have a sheer responsibility to get it monitored, maintained, and serviced. Implementing multiple KPIs and updating the AI assistant chatbot with trending features will keep you ahead of the competition. 

If you are taking the development service from a third-party service provider, inquire about the routine updates, bug-fixing, multi-platform integration, and applied support and maintenance charges. 

Also Read: Generative AI: The Future of E-commerce Personalization

Summing Up: TechGropse Offers Both Proprietary and Open Source e-commerce Chatbots

Proprietary bots are feature-packed and high-end solutions that come with concrete support & burden-free operations. However, you are locked in the vendor ecosystem with fixed licensing fees, limited flexibility, and a pre-determined customization scope. On the other hand, open-source solutions come with no licensing fees, unlimited flexibility, and limitless customization. The only condition is to have an exceptional team of technical experts who can manage and update your chatbot. As a preferred technology vendor in the global market, we offer you both proprietary and open source. 

TechGropse has always proven to be a phenomenal development partner in the context of AI chatbots for eCommerce. If you are looking forward to having some of the best-in-league among them, your business need is just a click away. 

Frequently Asked Questions

Do you have any past experience in developing a chatbot for an eCommerce website? How will your AI assistant chatbot transform our eCommerce website? Are your AI bots for sale management a proprietary or open-source solution? Which technologies, language, framework, and platform do you use for the development of eCommerce chatbots? Will you sign an NDA for our eCommerce chatbot development project? What is your cost breakdown for the development of our AI assistant chatbot? Do you offer after-delivery support and maintenance service?