Case Studies/AI Chat Agent That Handles 340 Customer Enquiries a Month — Barley & Grain
AI Agents Barley & Grain United Kingdom

AI Chat Agent That Handles 340 Customer Enquiries a Month — Barley & Grain

A small Yorkshire craft brewery was missing trade and retail enquiries out of hours. We built a Claude-powered chat agent trained on their product catalogue, pricing, and FAQs — handling 340 conversations a month with zero staff time.

BARLEY & GRAIN — AI CHAT AGENTClaude AI ✦Chats/mo340Resp Time<10sConverted28%Hrs Saved90CustomerDo you deliver to Leeds? Min order?AI AgentYes! Leeds is in our delivery zone. Min orCustomerWhat pairs well with spicy food?AI AgentOur Mango IPA or Pale Ale work great — fruClaude AI · Next.js · PostgreSQL · Yorkshire, UK

The Challenge

Barley & Grain was getting 15–20 website enquiries a day from pubs, restaurants, and retail buyers wanting product info, pricing, and minimum order details. The owner was responding personally, often 24+ hours late, and losing trade accounts to faster competitors. Hiring a customer service person wasn't viable at their size.

Our Solution

We built a Claude-powered chat agent embedded on their website, trained on their full product catalogue, pricing tiers, delivery areas, and FAQ content. The agent handles product questions, recommends beer styles for specific food pairings, gives trade pricing on request, and captures lead details for orders it can't complete. Complex enquiries are escalated to the owner with a summary of the conversation.

Tech Stack

Claude AINext.jsPostgreSQL

Service

AI Agents

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Results

The Outcomes

340 conversations handled automatically per month

Response time reduced from 24 hours to under 10 seconds

28% of chat leads converted to orders

Owner saves 3 hours per day on routine enquiries

Trade buyers expect fast answers. Before the agent, we were losing accounts because we couldn't respond quickly enough. Now we're closing deals while I'm asleep.

Tom Ashford

Founder, Barley & Grain Brewery

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