8th Jan, 2025 | Manan M.
Blog Summary: AI in voice commerce solutions is reshaping e-commerce in 2025 by offering smarter, faster, and more personalised shopping experiences. From development steps to benefits, this guide explores how businesses can use AI tools and how Bombay Softwares builds tailored solutions for retail and e-commerce success.
Did you know that by 2032, the AI-enabled e-commerce market will reach $22.6 billion?
AI in Voice Commerce is changing how we shop online, from virtual assistants that help us find products to voice-activated systems that let us purchase using just our voices.
This article looks at the latest trends in AI for e-commerce, highlighting how these technologies are making voice commerce solutions easier and more enjoyable for online shopping.
Artificial Intelligence (AI) is changing the e-commerce landscape, particularly through voice commerce solutions.
Understanding current market trends and insights is crucial for businesses aiming to utilise these technologies for growth.
As per the Precedence Research, in 2024, the global AI in e-commerce market was valued at approximately USD 7.25 billion and is projected to reach around USD 64.03 billion by 2034, expanding at a compound annual growth rate (CAGR) of 24.34% during this period.
Voice commerce, a subset of AI in e-commerce, is also on the rise. The global voice commerce market size was valued at USD 42.75 billion in 2023 and is expected to grow at a CAGR of 24.6% from 2024 to 2030.
AI and voice commerce solutions can change the way businesses operate and engage with customers.
Here are key reasons why businesses should prioritise these technologies:
A survey stated that AI-powered tools like chatbots and voice assistants provide 24/7 support, saving time for 61% of U.S. consumers and offering instant answers to 45% of queries.
Additionally, 74% of U.S. shoppers report an improved shopping experience with AI, showcasing its potential to enhance customer satisfaction and engagement.
With 80% of retail and e-commerce businesses already using or planning to use AI chatbots, and AI projected to manage 80% of customer interactions by 2030, adopting these solutions is essential for staying competitive.
AI also opens avenues for personalised recommendations and smooth shopping, critical for meeting evolving consumer expectations.
Adopting AI and voice commerce solutions presents a significant opportunity for businesses to enhance customer experience, increase revenue, and stay competitive.
However, addressing consumer concerns and ensuring seamless integration is crucial for successful implementation.
AI voice commerce is an exciting way of technology that is changing how we shop online. It allows people to buy things and interact with eCommerce websites using simple voice commands without needing to navigate screens.
For example, instead of typing in “Buy a blue backpack,” you can simply say, “Order a blue backpack,” and the system does the rest.
It makes shopping faster, easier, and much more convenient.
But how does this amazing technology work? Let’s break it down into simple steps.
The system converts spoken words into text.
_For example, “Find me a pair of red shoes” is changed into a text command. _
This step uses AI in the customer experience to ensure accurate understanding.
NLU processes the text to grasp meaning, context, and intent.
For instance, “Show me affordable options” is understood as a request for budget-friendly choices.
It uses artificial intelligence in retail to handle accents, languages, and preferences.
ML helps the system learn and improve over time.
It adapts to accents, speech patterns, and user preferences, like prioritising “low-sugar snacks” if frequently requested.
Generative AI in retail enhances personalised experiences.
For voice commerce to work smoothly, it needs to connect to various systems like product databases, payment gateways, and delivery workflows.
Here’s how a typical process might look:
This system works because of AI in e-commerce solutions and AI retail solutions that ensure product information is accurate and payment systems are secure.
Voice commerce isn’t just about convenience, it’s changing the way businesses operate. With artificial intelligence for business transformation, retailers can offer faster, more personalised customer experiences.
It’s also great for accessibility, helping people who may not be comfortable using traditional apps or screens. Businesses using AI solutions for business can stay ahead by integrating voice technology into their shopping platforms.
In the future, we can expect even more advanced features, such as smarter AI in retail systems that predict what you want to buy based on your shopping habits. Voice commerce is truly the future of online shopping.
AI in voice commerce is changing the way we shop, making it easier and more enjoyable for customers while offering countless benefits for businesses.
Let’s explore how AI in business, especially in the retail industry, is creating magic in voice commerce.
AI technology tracks your preferences and previous purchases to suggest products you'll love. Over time, it gets even better at offering rare discounts, new products, and restocks.
AI-powered virtual assistants ensure a personalised shopping experience that keeps customers coming back.
AI-enabled voice commerce lets you instantly check stock and prices or make purchases using voice commands, saving you time and energy with a fast, hands-free shopping experience.
It’s like having a virtual shopping assistant always ready to help.
AI in retail solutions makes shopping accessible to everyone, including people with disabilities or those less familiar with technology.
Simply speaking naturally allows everyone to enjoy a seamless shopping experience.
AI-powered virtual assistants offer instant, 24/7 AI customer support for common queries like delivery details and returns, freeing human agents for more complex tasks and ensuring a smooth shopping experience.
AI helps reduce cart abandonment by reminding customers to complete their purchases or assisting with voice-enabled payments, making checkout quick and easy for a seamless shopping journey.
By automating tasks like customer support, product suggestions, and order processing, AI-powered virtual assistants reduce operational costs for retailers, allowing businesses to deliver efficient service and tailored experiences while increasing profits.
AI provides real-time insights into consumer behaviour, trends, and preferences, helping businesses optimise inventory, refine customer experiences, and create smarter marketing strategies.
AI in Voice Commerce builds loyalty by making shopping easy, personalised, and enjoyable, encouraging customers to return for a reliable, trusted experience.
In 2025, creating an AI voice commerce solution for your retail or e-commerce business can help enhance the shopping experience for your customers.
If you're looking to develop such a solution, here’s a simple step-by-step guide to get you started.
Before you begin, it’s important to plan your AI-driven voice commerce solution carefully. Think about the use case of the solution, who your target audience is, and the technology you’ll need.
Planning will set a clear path and ensure smooth development. It’s also essential to decide on the AI tools for customer service and other features that you want to include.
To make the voice assistant smart and responsive, you need to gather high-quality data. This data helps train the AI model so it can understand customer requests and provide accurate answers.
The better the data, the better the assistant will perform. AI development companies can help you with collecting and refining the data to make it useful for training.
Once you have your data, focus on the design of the voice commerce solution.
The user interface should be easy to use, with clear icons like a microphone for voice commands. Good design ensures that your customers can use the AI solution without any hassle.
Now, it's time to build the solution. During development, AI technologies like machine learning, natural language processing, and sentiment analysis can be integrated to make the voice assistant smart and responsive.
AI solutions for businesses, especially in retail, help improve the customer experience by making it easy to shop using voice commands.
With development complete, it's time to train your voice commerce assistant. This step involves feeding the system with data to teach it to understand a variety of customer queries.
The assistant should be able to recognise different languages, accents, and tones for a smooth experience.
After training, you need to test the AI voice assistant. Try different commands like asking for a product, checking prices, or looking for options.
This will help ensure the system works well and responds accurately to all types of queries.
Once everything is working, deploy the voice commerce solution in your retail or e-commerce business.
Start with a small test run and make sure everything works as expected. If needed, make improvements and then roll them out across the rest of your business.
By following these steps, you can develop an AI-enabled voice commerce solution that boosts your business and improves the shopping experience.
AI in retail and AI in e-commerce is the future, and with the right tools and planning, your business can stay ahead of the competition.
Many top retailers incorporate AI-powered voice commerce solutions to improve the shopping experience for their customers.
By using AI tools for customer service and voice assistants, these companies are making shopping easier, faster, and more convenient.
Here are some of the leaders in AI in retail and e-commerce:
Amazon, a giant in e-commerce, uses Alexa to provide a powerful AI voice shopping assistant.
With Alexa, customers can search for products, get more information, place and track orders, and even make payments using just their voice. This AI-powered voice commerce solution makes shopping effortless for Amazon customers.
Domino’s Pizza has created its AI-powered voice assistant, called Dom. This assistant lets customers place orders, enquire about prices, customise pizzas, track deliveries, and apply coupon codes, all with simple voice commands.
Domino’s has effectively used AI solutions for business to improve convenience and speed for pizza lovers.
Starbucks uses the "My Starbucks Barista" feature in its app to offer voice commerce to its customers. With this feature, customers can order their coffee, schedule pick-ups, and even customise their drinks using voice commands.
AI in voice commerce solutions helps Starbucks speed up the ordering process and makes it more convenient for customers.
Walmart has partnered with Google to create a voice shopping experience using AI technology.
With devices like Google Nest, customers can easily add items to their cart, track orders, and check out with voice commands.
Walmart’s system also remembers frequent purchases, simplifying reordering. This integration of AI in voice commerce and supply chain management enhances the customer experience and streamlines operations.
Despite challenges like misinterpreted commands, Walmart continues to invest in AI development companies to improve the system.
AI is shaping the future of shopping, making it faster, easier, and more personal. From virtual shopping assistants to smarter business operations, the benefits of AI in voice commerce are limitless for both customers and retailers.
These retailers are leading the way in integrating AI into voice commerce, using AI development companies to create solutions that enhance the shopping experience.
Whether it's ordering food, shopping online, or customising drinks, AI is making it easier for customers to shop in 2025.
Bombay Softwares, a leading AI development company, specialises in creating AI voice commerce solutions for businesses.
We use advanced AI technologies, like machine learning and natural language processing, to build systems that understand and respond to customer queries in real-time.
Integrating AI tools for customer service, we help businesses provide a seamless shopping experience. Our goal is to understand the specific needs of the client’s business and its customers to give them customised AI solutions.
AI solutions for business, especially in retail and e-commerce, focus on enhancing customer engagement and improving sales.
These solutions are adaptable, scalable, and tailored to meet the unique needs of each business, ensuring that AI in voice commerce solutions help increase efficiency and customer satisfaction.
Incorporating AI in voice commerce solutions is modernising how businesses interact with their customers. With AI in retail and AI in e-commerce, businesses can streamline operations and offer a personalised shopping experience.
With expertise in Artificial Intelligence, helps businesses build customised AI-driven solutions that drive growth and improve customer satisfaction. The future of shopping is voice-enabled, and Bombay Softwares is helping businesses stay ahead.
A: AI tools for customer service can provide instant responses, understand customer queries, and offer personalised assistance, improving customer satisfaction.
A: Bombay Softwares provides custom-built AI solutions tailored to each business, ensuring that their voice commerce models are scalable, efficient, and aligned with business goals.
A: Bombay Softwares builds custom AI solutions for businesses, focusing on voice commerce, customer service, and improving operational efficiency.
A: Yes, AI solutions built by companies like Bombay Software are designed to be scalable, allowing them to grow with the business while maintaining efficient customer service and sales processes.
A: Yes, AI in voice commerce enhances customer interactions, offering a seamless shopping experience, personalised recommendations, and streamlined processes that can lead to increased sales.
A: The cost of developing an AI voice commerce solution depends on several factors, including the complexity of the features, customization requirements, and the technology stack used. On average, costs can range from $20,000 to $100,000 or more for advanced systems with real-time analytics, natural language processing, and integration capabilities.
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