Introducing Command R+: Our new, most powerful model in the Command R family.
CHALLENGE
A major luxury goods retailer wanted to help its client advisors, reducing the time advisors needed to find and research products. It engaged Cohere to create a tool that could help advisors suggest products to customers based on demographics, purchase history, and personal preferences.
CHALLENGE
A major luxury goods retailer wanted to help its client advisors, reducing the time advisors needed to find and research products. It engaged Cohere to create a tool that could help advisors suggest products to customers based on demographics, purchase history, and personal preferences.
SOLUTION
Using retrieval-augmented generation (RAG), Cohere Command and Rerank with were integrated into the customer’s website, product catalog, inventory, and customer service apps to build a conversational virtual shopping assistant. The assistant can quickly give advice and relevant suggestions, helping advisors improve customer experience and basket size.
SOLUTION
Using retrieval-augmented generation (RAG), Cohere Command and Rerank with were integrated into the customer’s website, product catalog, inventory, and customer service apps to build a conversational virtual shopping assistant. The assistant can quickly give advice and relevant suggestions, helping advisors improve customer experience and basket size.
How it works
Impact
Improved brand perception
Less burden on client advisors
Increased basket size
The Cohere Difference
Leading model accuracy
Cohere’s retrieval prioritizes accurate responses and citations
Accelerated enterprise deployment
Cohere’s models come with connectors to common data sources
Customization
Cohere’s models can be fine-tuned to further improve domain performance
Scalability
Cohere’s powerful inference frameworks optimize throughput and reduce compute requirements
Flexible deployment
Cohere models can be accessed through a SaaS API, on cloud infrastructure (Amazon SageMaker, Amazon Bedrock, OCI Data Science, Google Vertex AI, Azure AI), and private deployments (virtual private cloud and on-premises)
Multilingual support
Over 100 languages are supported, so the same topics, products, and issues are identified the same way