B2Talk Offer Personalized AI-powered Customer Support for Service Industry

Personalized AI-powered Customer Support: B2Talk Offer Service Industry Custom Solutions

AI-powered agency concierge, IT-consultant, or café manager: Ukrainian team Garage Lab has designed a solution aimed at creating an exceptional customer experience through artificial intelligence.

Their GPT-based solution, known as B2Talk, can be personalized to adapt to various moods as required by the situation. The AI bot they have developed to cater to business needs can be integrated into public or corporate messengers, social media platforms, or websites.

The responses generated by the B2Talk assistant are based on the well-known language model created by OpenAI. However, for more contextually relevant answers, developers provide the model with the necessary data and tailor its responses accordingly. As a result, the AI bot is capable of engaging in lifelike conversations, providing accurate support within seconds.

During a Q&A session, the developers elucidated the practical aspects of their service, shedding light on its features. This serves to elucidate how B2Talk can be advantageous for diverse types of businesses.

Harnessing GPT's Power Beyond API Dependence

Garage Lab has developed a product that leverages the capabilities of the latest iteration of GPT to engage in human-like conversations, extending beyond reliance solely on the GPT API. They possess the capacity to finely tailor communication for specific narrow requirements.

For instance, one of the most advanced domains is the hospitality industry (HoReCa). B2Talk seamlessly facilitates AI-powered table reservations, menu discussions, assistance with navigating the premises and addressing general inquiries from customers. Moreover, AI can get access to the internet to acquire additional knowledge about clients' offerings.

However, a model optimized for a café's needs might not perform optimally when applied to the real estate sector. The integration is narrowly tailored for specific domains. Distinct characteristics are essential for different areas of business, encompassing retail, banking, fashion, booking, fitness, consulting, and agencies.

The developers have committed to exploring other domains while remaining cautious about venturing into critical areas. They express reluctance to fully delegate tasks such as “providing surgical advice on which organ to operate on” or offering investment recommendations to AI.

Regarding pricing, B2Talk is not free of charge. The basic version typically costs around $5,000 under standard conditions, with a discounted rate of $3,000 specifically for the Ukrainian market. Each case undergoes an individual assessment to ensure fairness. For this one-time fee, the company receives a tailored model configuration for its specific business needs, eliminating the necessity for ongoing maintenance.

Navigating the B2Talk Ecosystem

The initial interaction with the business occurs through the B2Talk website, where founders or management complete a questionnaire about their enterprise.

Garage Lab has consciously chosen not to mechanize the project's workflow into an assembly line; instead, they prefer working with clients on an individual basis. The fundamental configuration of the AI model is handled by the developers.

Simultaneously, the business is furnished with a webpage for overseeing chatbot integration and accessing statistics. However, a pre-configured mood model is not provided to minimize the potential for errors. The decision was made to forego a mobile admin app due to the sheer volume of information present on the webpage. Granting clients equal access to critical settings would compromise flawless operational functionality. Nevertheless, developers can create specialized guides or FAQs to assist companies in navigating these processes.

Although the connection process might necessitate a brief period, it operates effectively, as per the developers. In reality, if a business can swiftly gather responses to all pertinent inquiries, its admin panel can be set up and operational within just two or three days.

Features That Define B2Talk

B2Talk offers integration even for small businesses as a strategic marketing move, although AI-powered support primarily excels in scalability. For companies, B2Talk has the potential to replace entire departments, offering 24/7 customer support devoid of human involvement, while also introducing an additional communication channel with clients. Furthermore, B2Talk can function as an internal guide within the company, providing information for employee training.

Garage Lab provides a testing opportunity in two ways. Firstly, there is an illustrative restaurant chatbot accessible on the B2Talk website. Secondly, the developers themselves employ B2Talk as an AI concierge on their primary webpage.

Using this example, the developers elucidate three distinct features.

The first pertains to long-term memory, enabling models to construct an information repository that furnishes customer inquiries with lucid contextual responses, eliminating the need for fabrications or imaginative answers.

The second feature involves real-world interactions, enabling activities like making reservations or placing orders within a company's system without human intervention. Although various iterations of such systems exist, Garage Lab pledges to craft a functional bot tailored to each unique system.

The third distinctive feature is internet connectivity. Their product can access necessary data online and deliver the most current information on the desired topic, as required.

The primary drawback of the service lies in its slower response time compared to what is typically expected from cutting-edge AI. On average, as per the developers, the response time can extend up to 10 seconds. However, in certain scenarios, the AI might necessitate 20–25 seconds to formulate a response.

Future Development

Anticipation is running high at Garage Lab as they eagerly await the imminent release of the fifth iteration of ChatGPT. This signifies the next significant advancement, transitioning from the “baby” stage of the third version to a more mature “teenager-like” state in the fourth version. The forthcoming iteration holds the potential to autonomously perform a wide array of functions, potentially eliminating the necessity for human fine-tuning.