The Future of Chatbot E-commerce Experience: Using a Multimodal GenAI Chatbot to Enhance Customer Satisfaction

The Future of Chatbot E-commerce Experience: Using a Multimodal GenAI Chatbot to Enhance Customer Satisfaction

Chat-GPT paved the way for generative AI for ecommerce to enter the mainstream. The ability to creatively process queries instead of relying on pre-set scenarios opens new opportunities for ecommerce business owners, and consequently, new revenue streams. Today, using the multimodal GenAI chatbot is becoming the new standard, enabling users to interact with AI in various ways. This means not just text prompts, but also voice or mixed prompts utilizing images or video.

For ecommerce businesses, due to the nature of sales and user habits, such multimodal capabilities are crucial. However, most chatbots you encounter today in apps or online browser shops are limited to text prompts.

But this is about to change! Online sales leaders are already enhancing their GenAI assistants’ capabilities, setting new industry standards. Discover how to turn GenAI advancements into success for your own business.

AI vs. GenAI: How Can GenAI Chatbots Elevate Ecommerce?

When building traditional chatbots, companies would create potential scenarios. Integrated with selected databases, their solutions could answer a wide range of questions. The more (well-thought-out) scenarios, the better the chatbot handled customer service.

However, it’s difficult to predict every possibility. In unpredicted situations, such chatbots proved useless and even irritated customers with evasive answers. This would often work against them, damaging the company’s reputation rather than generating additional benefits for customer service.

Many companies addressed this issue (and still do) by assigning the simplest tasks to the bot and involving a live consultant at a certain stage of the conversation. However, this solution doesn’t radically increase customer service efficiency.

GenAI overcomes this barrier because its generative capabilities allow it to improvise. While this system takes away full control over the returned results from business owners, it eliminates the main obstacles to return on investment described above.

What is a Multimodal GenAI Chatbot?

Imagine a shop assistant who can see, hear, and understand your words. Because it has the ability to scan stock databases in seconds, it can identify any reference you provide, whether text or visual. This is a multimodal generative AI chatbot. Like a tech-savvy Sherlock Holmes, it combines text, images, and sometimes voice. It provides tailored assistance.

Moreover, in ecommerce, a multimodal GenAI chatbot can revolutionize the shopping experience by offering highly personalized, efficient, and intuitive interactions, ultimately driving customer satisfaction and boosting sales. It can take an Instagram photo or a screenshot and guide you to the exact items or styles you seek in an online store or pass you through the checkout with voice commands while suggesting additional products.

Its capabilities make shopping beneficial for both sides (the customer finds exactly what they need, and the company profits), but they can also make shopping a more fun experience. Imagine, for instance, that you have a favorite song this summer and want to buy a festival outfit that reflects its spirit. A multimodal GenAI chatbot could help you with this too.

How Does Multimodal Processing Work?

Multimodal GenAI chatbots take ecommerce strategy up a notch. Here’s how they work in a nutshell:

Data Input The system takes in different types of inputs from users, like typed questions, uploaded images, and spoken commands. Depending on a model, each input type is processed separately: NLP for text, computer vision for images, and speech recognition for audio, or handled within one channel.

Data Analysis 

Specialized algorithms analyze each input. Text is examined for meaning, images are scanned for objects or scenes, and audio is transcribed and analyzed. Machine learning models help enhance these analyses.

Data Integration 

The system combines insights from all inputs. For example, it might match text descriptions with images to ensure accurate recommendations, creating a cohesive understanding of the user’s needs.

Response Generation 

The system uses integrated data to generate responses, which can include text, images, or synthesized voice. It might suggest products, provide information, or guide the user through tasks using various formats.

Feedback Loop 

User interactions help refine the system’s algorithms. If a user corrects a mistake or adds context, the system learns from this feedback to improve future interactions.

Today, thanks to the existence of open-source LLMs, you don’t have to go through that entire process. Instead, you can simply integrate your solution with one of the existing models and use multimodal capabilities without huge investments and with less data challenges. When carrying out such integrations, we use techniques that ensure maximum accuracy and protect the privacy of your data. Write to us or check out our blog to learn more.

How Can You Use GenAI Chatbot Multimodality to Enhance Your Sales? 4 Use Cases

GenAI Chatbot Boosts Your Profits with Image Search-Based Sales

Johnny is scrolling through Instagram and comes across his favorite influencer sporting an effortlessly stylish outfit. He wants to recreate this look, but only has a single Instagram photo to go by. 

So, he uploads the photo to the chatbot, which quickly analyzes the image. Using its advanced algorithms, the chatbot identifies each clothing item and accessory in the outfit. It then suggests a few combinations available in your store that closely match the influencer’s style, complete with links to each item. Johnny is thrilled with the recommendations and purchases the outfit, boosting your sales.

GetAI Chatbot Supports Your Cross-Selling Strategy with Video Reference-Inspired Sets

Sandra just watched the latest blockbuster movie and fell in love with the dreamy interior of the protagonist’s apartment. Her own living room, however, feels bland in comparison. She decides to enlist the help of your multimodal GenAi chatbot.

Sandra uploads a screenshot from the movie, and the chatbot goes to work. It identifies the key pieces of furniture and decor, recognizing the mid-century modern sofa, quirky bookshelf, and distinctive rug.

The chatbot then suggests similar items from your store, complete with purchase links. Sandra is delighted with the curated selection, making her living room transformation a breeze and driving sales for your store.

GenAI Chatbot Improves Your Customer Satisfaction with Vacation Tailored to Their Needs and Budget

Chris is planning a reunion vacation with friends and dreams of a Greek getaway filled with beautiful beaches, vibrant parties, and exciting water activities. The challenge? They have a strict budget and no specific destination in mind.

He then turns to your multimodal GenAI chatbot for help. Based on the defined budget, travel dates, and preferences, the chatbot meticulously plans the entire trip. It suggests a picturesque Greek island known for both its lively party scene and plethora of water activities.

The chatbot finds affordable yet comfortable accommodations, exciting activities, and budget-friendly travel connections. Chris and friends are set for an unforgettable trip, and your travel services see a significant boost in bookings.

In each scenario, the multimodal chatbot enhances the customer experience by providing personalized, visually-driven recommendations and solutions, directly leading to increased sales and customer satisfaction.

GenAI Chatbot Assists with Troubleshooting of Furniture Installation Through Videos

Jane just received a beautiful new dining set from your online store. Excited to set it up, she encounters a problem with assembling the chairs. Determined to solve it quickly, Jane decides to seek assistance from your multimodal GenAI chatbot.

Jane records a short video showing the issue with the chair assembly. She uploads the video to the chatbot, which starts analyzing the footage. Using advanced computer vision capabilities, the chatbot identifies the specific step where Jane is facing difficulty.

The chatbot then provides a multimodal response. First, it sends Jane a text message outlining the precise steps she needs to follow to correctly assemble the chairs. Simultaneously, it overlays images on her screen, highlighting the key components and demonstrating the correct assembly technique visually.

Additionally, the chatbot offers a link to a video tutorial hosted on your website, providing further visual guidance if needed. Jane follows the instructions and successfully completes the assembly, relieved and grateful for the quick and effective assistance.

Use the potential of multimodal GenAI chatbot for ecommerce. We can make it happen!

Having developed multiple solutions for e-commerce, we can help you use GenAI’s potential for your business. Implement multimodality on your own terms – in a way that serves your company and its sales. Let’s chat!

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