The Future is in AI Voice Commerce

AI Voice Commerce (AIVC) is emerging not just as an innovation but as a natural extension of existing e-commerce ecosystems. Fabrity Commerce has conducted extensive experiments in this area, leading to the development of optimal methods for implementing voice commerce in legacy systems and omnichannel ecosystems.

By using voice analysis, intelligent product recommendations, and adaptation to various business models, voice commerce is transforming the way customers make purchasing decisions. Expanding voice commerce with parametric analysis and comparative functions allows for an even better product matching customer expectations and purchase context. 

Integrating AI (AIVC) with Legacy Systems

One of the key challenges in adopting voice commerce technology is that most companies operate on legacy systems interconnected with numerous integrations. In traditional e-commerce models, orders and interactions are managed by multi-layered data management systems, including PIM (Product Information Management), ERP, and CRM.

AI systems operate by learning and improving from extensive data exposure, allowing them to identify patterns that may elude human observation. Deep neural networks can be integrated to enhance these legacy systems, processing data through various layers to improve classification and analysis.

Understanding AIVC and Legacy Systems

Artificial Intelligence Voice Commerce (AIVC) is revolutionizing the way businesses interact with their customers by integrating voice commerce capabilities into existing legacy systems. Legacy systems, often seen as outdated computer systems, software, or technology, still play a crucial role in many businesses but may not be compatible with modern innovations.

AIVC bridges this gap by leveraging the power of artificial intelligence and natural language processing, allowing businesses to offer a seamless voice commerce experience without the need to overhaul their existing infrastructure. This integration not only modernizes customer interactions but also maximizes the utility of legacy systems.

Definition of Voice Commerce

Voice commerce is a type of e-commerce that enables customers to make purchases using voice commands through voice assistants, such as Amazon’s Alexa, Google Assistant, or Apple’s Siri. It allows customers to search for products, add items to their cart, and complete transactions using only their voice. Voice commerce relies on natural language processing (NLP) and voice recognition technology to understand and interpret customer requests.

How Voice Commerce Works

Voice commerce works by integrating voice assistants with e-commerce platforms and online marketplaces. When a customer uses a voice command to search for a product or make a purchase, the voice assistant uses NLP to understand the request and retrieve the relevant information. The voice assistant then communicates with the e-commerce platform to complete the transaction.

Voice commerce requires a voice-enabled device, such as a smart speaker or smartphone, and a stable internet connection. This seamless integration allows customers to shop effortlessly, using natural language to interact with their favorite brands.

AIVC as an Overlay for Legacy Infrastructures

AIVC can be seamlessly implemented as an overlay on top of legacy systems, enabling businesses to introduce voice commerce capabilities without disrupting their current operations. This approach allows companies to extend the life of their legacy systems while providing customers with a cutting-edge shopping experience.

By integrating AIVC, businesses can avoid the high costs associated with replacing or upgrading their existing infrastructure. Instead, they can enhance their systems with modern voice commerce functionalities, ensuring they stay competitive in an evolving market.

AIVC may function as an overlay for legacy infrastructures in voice commerce:

• Voice commerce can function as an additional communication layer (middleware) between backend systems and the user.
• Fabrity Holding and Fabrity Commerce has developed a dedicated API that allows voice commerce to communicate directly with the SSOT (Single Source of Truth), such as a PIM system.
• The system continuously analyzes preferences and conversation context, enabling more personalized customer service. The use of training data in AI models helps improve these systems over time, allowing for more accurate and efficient customer interactions. We took strong know-how from “hard projects” that are present in the corporate, insurance, banking and manufacturing sector, which gave us the idea – why not to use it in e-commerce?

Use cases from R&D with clients 

Benefits of Integration

Integrating AIVC with legacy systems offers a multitude of benefits:

• Improved customer experience: AIVC provides a seamless and intuitive voice commerce experience, leading to higher customer satisfaction and loyalty.
• Increased efficiency: By automating tasks such as order processing and customer service, AIVC frees up staff to focus on more complex and high-value activities.
• Cost savings: Extending the life of legacy systems reduces the need for costly replacements or upgrades.
• Competitive advantage: Businesses that integrate AIVC can differentiate themselves from competitors and establish a leadership position in their market.

Technical Requirements for Integration

To successfully integrate AIVC with legacy systems, businesses need to ensure their infrastructure meets certain technical requirements:

• Compatibility: AIVC must be compatible with the existing legacy system, including the operating system, hardware, and software.
• Data integration: AIVC must be able to integrate with existing data management systems, such as databases and data warehouses.
• Security: AIVC must adhere to the same security standards as the existing legacy system, including encryption, access controls, and authentication.
• Scalability: AIVC must be scalable to handle large volumes of voice commerce transactions as the business grows.

B2B – Smart product selection for architects 

In the B2B sector, voice commerce can become a crucial tool for architects and designers selecting suitable products based on technical and aesthetic parameters. 

• An architect is looking for the perfect lighting solution based on a blueprint or sketch. Instead of manually searching a catalog, they use a voice interface. 
• Voice commerce connects to the PIM and CRM databases, analyzing SKUs included in the plan and automatically identifying the best matches. 
• AI performs additional parameter analysis, such as light intensity, color correlation, the client’s aesthetic preferences, and even the architect’s target budget. 
• The system not only suggests products but also dynamically analyzes the project context to recommend the optimal solutions. 

B2C – Reliable influencer-grade analysis in FMCG and fashion using natural language processing

Voice commerce can act as an intelligent recommendation tool in industries such as FMCG and fashion.

• A customer wants to purchase a new line of cosmetics, but instead of relying on random reviews, they use voice commerce for deeper analysis.
• The system utilizes voice recognition technology to analyze product ingredients, compare them with competing brands, and provide an objective assessment based on technical parameters rather than subjective influencer opinions.
• Comparing sales data and market trends adds another layer of analytics, supporting more informed purchasing decisions.

Comparative shopping analysis and personalized Customer Journeys with voice assistants

Voice commerce not only supports impulse purchases but also enhances the comparative phase, which is crucial for identifying customer purchasing moments.

• The system can suggest alternatives based on personalized analysis of price, product attributes, and user preferences.
• Natural language processing allows for more advanced interaction—rather than browsing websites, the user can simply ask: “Which running shoes are best for trail running in the rain?”
• Integrating voice search capabilities optimizes product discoverability through voice commands, making it easier for consumers to find what they need.
• AI not only finds suitable products but also considers specific user requirements such as budget or lifestyle.

Predictive maintenance in AIVC using artificial intelligence

Applying predictive maintenance technology in e-commerce is one of the most promising directions. It involves leveraging data analytics to anticipate user needs and optimize the performance of the voice commerce system.

1. Advanced NLP algorithms analyze how users formulate queries, optimizing the voice interface accordingly.
2. With machine learning, voice commerce can suggest products based on interaction history and anticipated needs.
3. Analyzing communication patterns using artificial neural networks helps improve e-commerce UX, reducing cart abandonment rates and shortening the purchase process. The idea fix is to remove UX need, as voice interaction is so natural and brought in the first years of youth as a skill to communicate among society.

The Role of Voice Assistants

Voice assistants play a crucial role in voice commerce by acting as the intermediary between the customer and the e-commerce platform. They use NLP to understand customer requests and provide relevant responses. Voice assistants can also be used to provide personalized recommendations and offers to customers based on their purchase history and preferences. Examples of voice assistants include Amazon’s Alexa, Google Assistant, and Apple’s Siri. These virtual assistants enhance the shopping experience by making it more personalized and efficient, catering to the unique needs and preferences of each user.

Overcoming Integration Challenges

Integrating AIVC with legacy systems can be complex and may require significant technical expertise. Businesses may encounter challenges such as:

• Data format compatibility: Ensuring that AIVC can work with the data formats used by the legacy system.
• System integration: Integrating AIVC with multiple systems, including databases, data warehouses, and other applications.
• Security and compliance: Meeting the same security and compliance standards as the existing legacy system.

By addressing these challenges with careful planning and the right technical expertise, businesses can successfully integrate AIVC and reap the benefits of modern voice commerce.

Advice for Retailers

Retailers can benefit from integrating voice commerce into their e-commerce strategy by:

• Optimizing their website and product catalog for voice search.
• Developing a voice commerce app or skill for popular voice assistants.
• Providing clear and concise product information and descriptions.
• Offering personalized recommendations and offers to customers.
• Ensuring a seamless and secure checkout process.

By following these tips, retailers can improve the customer experience and increase sales through voice commerce. Embracing this technology not only meets the evolving expectations of consumers but also positions retailers at the forefront of the digital commerce revolution.

Future of AIVC and Legacy Systems

The future of AIVC and legacy systems is poised for increased integration and interoperability. As AIVC technology evolves, businesses can expect to see more advanced features and capabilities, such as:

• Improved natural language processing: Enhanced ability to understand and interpret natural language, providing a more intuitive and personalized shopping experience.
• Increased use of AI and machine learning: Leveraging AI and machine learning for deeper insights and analytics, optimizing operations, and improving customer satisfaction.
• Greater emphasis on security and compliance: Ensuring that AIVC meets the highest standards of data protection and regulatory compliance.

As these technologies continue to advance, businesses that integrate AIVC with their legacy systems will be well-positioned to lead in the competitive landscape of voice commerce.

Summary 

Voice commerce is the future of e-commerce, revolutionizing user interactions while unlocking new opportunities in data analysis, predictive maintenance, and personalization. Integrating with legacy systems and utilizing API-driven backend connections enables rapid adoption of this technology without requiring a complete overhaul of IT infrastructure. Voice search optimization is essential for ensuring product visibility and discoverability through voice commands. Combined with Industry 5.0 and the D2C model, voice commerce has the potential to become a key component of modern omnichannel strategies.