Case study: AI sales agent for Custom Kitchens — more inquiries

The typical picture in Custom Kitchens before automation: inquiries arrive around the clock, replies happen during business hours. Below — what the market data says and what actually changes once an AI sales agent takes the first line. No invented "client case studies" — only verifiable numbers and an honest breakdown.

What the market data shows

Before estimating the automation impact, let's size up the Custom Kitchens niche. Below — verifiable industry numbers, each with a link to its source.

What changes

• First-response time drops from hours to seconds.
• Overnight and weekend inquiries stop getting lost.
• Reps only work with warm leads.

How to honestly estimate the impact

The actual lift depends on your traffic and offer — multiples promised without your data are dishonest. Run your own numbers: share of after-hours inquiries × average order value × first-line conversion. That gives a realistic estimate for your business specifically.

How to set up the bot for Custom Kitchens so it actually sells

• Point the agent at booking the measure, not closing the sale in chat — an exact price is only possible after measuring.
• Add questions about dimensions and built-in appliances — the preliminary estimate lands close to the real kitchen.
• Spell out lead times and production stages — the agent removes the fear of a long wait and keeps the lead.

Which systems can the bot connect to

• Bitrix24, SalesDrive, 1C — plus any CRM you use
• Telegram, Instagram, and other messengers

Who this matters to most

A homeowner ordering a kitchen built for their space: they share square footage, style, and built-in appliances. They compare materials and lead times, and book a free measure once they see an estimate.

What it looks like in a conversation

FAQ