Attribute mapping with AI—no manual field wiring
Every channel names fields differently. ChannelDock uses AI to propose how your master attributes map to each marketplace schema, so you are not building row-by-row mappings by hand. Keep a single catalog as the source of truth, adjust only what you need, and add transformations when values must change shape—not for simple renames across channels.
material_type
-
Channel A
fabric_composition -
Channel B
material
Manual attribute mapping is optional
A new channel used to mean a new empty grid. AI now suggests field alignments you can review in minutes, while you stay in control of what goes live.
Intelligent field match
Structured attributes, enums, and free text are matched to what each channel expects with AI-suggested pairings—no need to wire every cell by hand.
Variant-aware
Parent/child and size/color stay coherent on exports, with AI and rules helping multi-SKU alignment stay consistent.
From master catalog to every channel
AI proposes mappings; you confirm and ship. When a marketplace changes its schema, you review updates—instead of retyping every link by hand.
Connect your source fields
Bring the attributes you own in your ERP, supplier sheet, or ChannelDock master—AI uses them as the starting point for mapping suggestions.
Let AI map per channel
Get proposed links from your master attributes to each channel’s required and recommended fields. Tweak the exceptions—skip building the full matrix yourself.
Automate refresh
When products or AI-refined mappings change, feeds keep exports current—without starting from a blank map each time.
Ditch manual attribute mapping
Let AI draft field maps; your team approves, publishes, and moves on to work that matters.