Product Listing Automation

Overview

What we deliver

We build pipelines that turn product data into clean listings on Shopify, Amazon, and other channels, with images, copy, and attributes ready to publish.

We build product listing automation that turns raw product data into channel ready listings without manual rekeying. Our pipelines pull data from your PIM, ERP, or spreadsheets, normalize attributes, enrich content with AI assisted copy and image handling, and publish to Shopify, Amazon, eBay, and other channels through their APIs. We handle category mapping, variant logic, required attributes per channel, and translation when you sell across regions. We add review steps where they matter, so your team approves what goes live without typing every field. When data changes upstream, listings update everywhere downstream. We work with brands launching hundreds of SKUs and with catalogs in the tens of thousands. The result is faster time to live, fewer listing errors, and consistent product content across every channel your customers shop on, with a clear audit trail of what changed and when.

Fit Check

Built for teams like yours

Who it's for

Brands with large or fast moving catalogs
Multi-channel sellers
Private label and wholesale brands
Marketplaces and distributors
Merchandising and catalog teams

Pain points we solve

Manual rekeying of product data
Inconsistent content across channels
Slow time to live for new SKUs
Missing required attributes per marketplace
Outdated listings after upstream changes

What's included

Capabilities

Everything we cover in this engagement.

PIM and ERP data extraction
Attribute normalization and mapping
AI assisted copy and translation
Image handling and resizing
Channel specific listing rules
Variant and bundle logic
Bulk publish and update workflows
Approval and review steps

How we work

Our process

A clear, predictable path from kickoff to outcomes.

01

Data review

We audit your product data sources, gaps, and channel requirements.

02

Pipeline design

We define mappings, enrichment steps, and approval points per channel.

03

Build

We build extraction, enrichment, and publish workflows with tests.

04

Pilot batch

We run a real batch live, review results, and tune rules and copy.

05

Operate

We run the pipeline, add channels, and refine rules as your catalog grows.

What you get

Deliverables & outcomes

What you get

Documented data mappings
Live listing pipeline
AI copy templates and guardrails
Approval and review workflow
Bulk update tooling
Catalog health dashboard

Outcomes you can expect

Faster time to live for new SKUs
Lower listing error rate
Consistent content across channels
Less manual catalog work
Cleaner product data overall

Timeline

6 to 10 weeks for initial build

Engagement

Monthly retainer, Project, Sprint

Tools we use

Shopify, Amazon Seller Central, Akeneo, Plytix, OpenAI

KPIs we track

Time to publish, listing error rate, attribute completeness, SKUs published per week, content consistency score

Client stories

What clients say

"

My books were 90 days behind and I was avoiding my accountant. They cleaned up nine months of mis-categorized Shopify and Stripe entries, set up proper rules in QuickBooks, and now my close lands on day four of every month. First time in three years I opened a P&L without wincing. Cash forecasting actually makes sense now.

D.R.

"

We were drowning in tier-one tickets about password resets and appointment changes. They built a deflection layer on top of our help desk and kept their agents in the loop for anything sensitive. Volume to humans dropped 58 percent in two months and our patient NPS held steady. The hybrid handoff is the part most vendors get wrong. They did not.

P.M.

Proof