Manage Product and Service Catalogs

Why separate catalogs improve operations

When products and services are mixed together, AI actions become ambiguous and operators lose confidence in automation. Keeping a clear boundary between what is sold as an item and what is booked as a time-based service helps the system choose the right workflow every time.

Model product information for decisions

For products, the most important fields are the ones that directly influence a purchase decision: price, discount context, stock confidence, and recognizable naming. If any of those are stale, the AI can still answer quickly, but it will answer incorrectly, which creates costly follow-up work for your support team.

Model service information for scheduling reality

Service entries should explain duration, capacity constraints, optional provider requirements, and any instructions that affect how a booking should be offered. Rich service metadata allows AI to make realistic promises in chat instead of generic availability claims that later need correction.

Set a lightweight quality routine

A simple weekly review is usually enough: remove retired offerings, normalize naming conventions, and validate that newly launched products or services appear correctly in AI responses. Small but consistent maintenance prevents large-scale data drift and keeps order and booking workflows dependable.