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AI Sales Chat for various industries

AI Sales Chat in practice – how to use it in fashion, electronics, and home and garden

Written by Łukasz Hardek
Updated today

AI Sales Chat works well in any shop, but its configuration should be tailored to the industry. Different product categories involve different customer queries, different attributes and different recommendation logic. Below you will find practical tips for three popular e-commerce sectors.

Fashion and clothing

Main challenge: Customers are looking for products that suit the occasion, style and size – and often don’t know exactly what they want.

How to configure Chata:

Product feed:

  • Fill in the attributes: size, fit, material, colour, style (casual / smart / sporty), season, gender

  • Add occasion tags: everyday, work, wedding, beach

Knowledge base:

  • Size chart with a fitting guide

  • Styling guide: "How to choose a colour to suit your skin tone?", "What to wear to a summer wedding?"

  • Information about materials and their properties (e.g. "organic cotton – hypoallergenic, recommended for sensitive skin")

Welcome bubble:"Tell me what occasion you’re looking for an outfit for – I’ll find you something perfect!"

Electronics and household appliances

Main challenge: Customers need technical support and a comparison of specifications. They often don’t know the exact specifications they’re looking for.

How to set up the chatbot:

Product feed:

  • Fill in detailed technical specifications: power, compatibility, resolution, capacity, connectivity

  • Add compatibility information (e.g. "compatible with iPhone 14 and later")

Knowledge base:

  • Buying guides: “How to choose a TV for a 30 m² living room?”, “Which processor should I choose for office work?”

  • Model comparisons: a list of the top 3 in each category with a short description, and who you recommend them for

  • Technical requirements and compatibility instructions

Welcome bubble:"Tell me what you need the equipment for – I’ll find the best option for you!"

Home and garden

Main challenge: Customers often look for products that suit a specific room, style or size. Lots of questions about materials and durability.

How to set up the page:

Product feed:

  • Attributes: dimensions (width, height, depth), material, colour, style (Scandinavian, industrial, classic), room (bedroom, living room, bathroom)

  • Durability information: "for outdoor use", "moisture-resistant"

Knowledge base:

  • Interior design guides: "How to furnish a small bedroom?"

  • Garden materials guide: which ones work well in the Polish climate

  • Assembly instructions for popular products – if customers frequently ask about assembly

Welcome bubble:"Looking for something for a specific room? Tell me about it – I’ll find something that fits!"

Common principles for every industry

Regardless of product category:

  • The more attributes in the feed, the more accurate the recommendations

  • Buying guides in the knowledge base are the most effective way to learn

  • The welcome bubble should reflect your customer’s language and needs

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