It was presented at a major retail conference in New York in 2024, demonstrating the potential of LLM applications to their customers. As a result, a pilot rollout was planned with a retail chain operating over 250 locations with over 6000 employees.
Meet our client
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Client’s Challenge
The client aimed to improve frontline worker efficiency and satisfaction by creating a digital assistant that integrates into daily workflows. With training costs of $1,250 per worker and a 8 to 26-week timeline to full productivity, an AI solution was essential to reduce onboarding costs and accelerate performance.
Our Solution
Collaborating closely with the client’s development teams, we created a LLM-powered assistant capable of real-time information retrieval from both structured and unstructured data sources. To ensure scalability and safety in deployment, we implemented a robust input and output safeguarding mechanism to protect against errors.
Client’s Benefits
The solution provided high-quality responses at reasonable cost and latency. It was presented at a major retail conference in New York in 2024, demonstrating the potential of LLM applications to their customers. As a result, a pilot rollout was planned with a retail chain operating over 250 locations with over 6000 employees.
