Queries to Conversion
The Success Story of AI-Enhanced Sales
With 65 showrooms located in New York, New Jersey, Connecticut, and Pennsylvania, as well as three distribution centers and two service centers. Offering an ever-growing selection of categories like appliances and housewares, TV and video, mattresses, home furnishings, home and portable audio, computers, video games, smart home, car audio, outdoor living, and more.
Navigating a Web of Product Attributes with Nuanced Differences
Before integrating the Retrieval Augmented Generation (RAG) Generative AI Solution, the company’s sales team struggled to provide meaningful assistance to shoppers. Finding the right appliance for a customer was a time-consuming process. Many customers would become frustrated and force customers to sift through website content for specific information without human connection. This limitation not only hindered the online shopping experience but also failed to provide valuable insights into customer behavior.
Recognizing these challenges, the company sought a solution that could bridge the gap between online and in-store experiences while providing detailed product descriptions tailored to customer preferences.
Trailblazing Innovation in Online Retail and with Better Product Retrieval
A large family-owned appliance, television, electronics, and mattress store implemented IBM Watson with NeuralSeek to provide detailed and contextually relevant information to their sales team. Allowing their sales team to find the best product for their clients. RAG combines the strengths of both retrieval-based methods, which retrieve information from existing sources, and generation-based methods, which create new content. This allows the virtual agent to not only draw on a vast knowledge base for accurate and verified product information but also generate natural language descriptions tailored to the specific preferences and queries of online shoppers. The RAG solution ensures that the product descriptions are not only informative but also contextually appropriate, providing a personalized and engaging online shopping experience. Additionally, RAG facilitates scalability, allowing the company to efficiently handle a diverse range of product queries and maintain a competitive edge in the online retail landscape.
The payout: Improved player satisfaction and operational efficiencies
Sellers now have fast retrieval of natural language product descriptions and authentic information about in-store shopping to assist their clients. As more sellers used the virtual agent, the national retail company used NeuralSeek analytics to identify the most and least common product questions to refine product descriptions, optimize website content, and tailor marketing strategies, ultimately enhancing the online shopping experience, meeting customer expectations, and staying ahead of market trends. The combination of IBM Watson and NeuralSeek addressed immediate customer needs and positioned the company to make informed decisions based on a deeper understanding of its online shoppers, fostering a more responsive and competitive retail environment.
Call outs
- Sellers have access to efficient and effective product description
- RAG assists in staying competitive in the online retail market by adapting and scaling operations as needed.
- IBM Watson and NeuralSeek promptly addressed customer needs in a personalized manner, positioning the company to make informed decisions through a deeper understanding of its online shoppers.