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Small and medium-sized businesses (SMBs) face increasing pressure to remain competitive in a rapidly evolving digital landscape. Many SMBs face obstacles in adopting AI solutions due to limited resources and the complexity of available products, which are often too generalized to meet the specific needs or scale of smaller businesses [1]. Existing AI solutions are typically designed for larger enterprises and lack the customization required for the unique operational challenges of smaller businesses. As a result, these companies are unable to efficiently utilize their data—such as customer service logs, website analytics, and social media feedback—to drive informed decision-making and improve customer engagement. To address this problem, there is a need for a solution that enables SMBs to transform their unstructured data into a usable, interactive knowledge base, empowering them to make data-informed decisions and strengthen client relationships. This requires an approach that is both accessible for non-technical users and capable of processing complex data in a way that delivers relevant and meaningful insights.
WizeWerks, a consultancy specializing in AI solutions, is focused on empowering SMBs to access the benefits of generative AI without the need for extensive in-house expertise. As a solution to this this, WizeWerks wants to develop a white-label platform that SMBs can brand as their own which will allow them to offer an AI-powered support agent that interacts with their unstructured data and transform such data into an interactive knowledge base. The system will generate meaningful insights to help SMBs respond to customer inquiries, predict emerging trends, and make data-informed business decisions.
Salimur Choudhury
WizeWerks
Computer science
Professional, scientific and technical services
Queen's University
Business Strategy Internship
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