# Product Catalog Enrichment: done-for-you AI automation by BufferSol

> A done-for-you product catalog enrichment automation is an AI agent that BufferSol builds and runs inside your PIM and store. It reads supplier spreadsheets, spec sheets and images, maps them to your attribute model, fills missing fields, writes titles, descriptions and meta copy in your brand voice, and checks each record against Shopify, Amazon and Walmart rules. A merchandiser approves before anything publishes. It is live in 3 to 6 weeks.

- Canonical: https://buffersoltech.com/done-for-you/automations/product-catalog-enrichment
- Industries: E-commerce & Retail (Marketplace sellers); Manufacturing & Distribution (Wholesale distributors)
- Provider: BufferSol Technologies (New York; serving the US, UK, Ireland, Canada and the EU)
- Timeline: live in 3 to 6 weeks
- Pricing: quoted after a short scoping call

## Turn raw supplier files into complete, channel-ready product listings

**Who it is for:** Brands, retailers and distributors adding hundreds or thousands of SKUs a season from many suppliers, with a small merchandising or content team doing the work in spreadsheets, Akeneo, Salsify or the Shopify admin.

### Signs you need it
- New products sit in draft for days because nobody has written the copy yet.
- Every supplier sends a different spreadsheet layout, and someone remaps the columns by hand each time.
- Amazon or Walmart rejects or suppresses listings for missing attributes such as color, size or material.
- Hundreds of product pages still carry the supplier's description, copied word for word.
- Storefront filters miss products because the same attribute value is spelled five different ways.

## Business outcomes
- **Faster time to shelf.** New SKUs move from supplier file to an approved, publish-ready listing in the week they arrive, instead of waiting in a content backlog.
- **Complete, consistent attributes.** Every product carries the fields your filters, feeds and marketplaces need, using one controlled vocabulary for colors, sizes, materials and units.
- **Unique copy at catalog scale.** Titles, descriptions, bullets and meta text are written per product from real specs, so you stop publishing duplicate supplier copy across hundreds of pages.

## How it works today
1. A buyer forwards a supplier's Excel or CSV file, often with merged cells, hidden tabs and the supplier's own column names.
2. A merchandiser copies columns into the PIM or the Shopify import template and remaps headers by hand.
3. Missing specs are chased with the supplier by email, or guessed from a PDF spec sheet.
4. A copywriter writes titles and descriptions one product at a time, or pastes the supplier's text to hit a launch date.
5. Someone exports a flat file for Amazon and Walmart, uploads it, and works through the error report line by line.
6. Suppressed or rejected listings are found days later, usually when sales of a new line stall.

Hidden costs:
- Merchandisers spend their week on data entry instead of range planning and promotions.
- Incomplete listings rank poorly, drop out of storefront filters and get suppressed on marketplaces.
- Vague or inaccurate product pages drive returns and avoidable sizing and compatibility tickets.

## How it works done for you
1. The agent watches a shared inbox, SFTP folder or supplier portal and picks up each new file, spec sheet and image set as it lands.
2. It maps the supplier's columns to your PIM attribute model, normalizes units and values against your controlled lists, and flags anything it cannot match.
3. It extracts missing specs from PDFs and images, and drafts a request to the supplier for fields it cannot find, which a buyer sends with one click.
4. It writes the title, description, bullets, meta title and meta description for each product, following your brand voice guide and each channel's character limits.
5. It validates every record against Shopify, Amazon and Walmart category requirements and lists anything that would block publishing.
6. A merchandiser reviews a batch view, edits or approves, and only approved products are written back to Akeneo, Salsify or Shopify.
7. Every change is logged with the source file, the field, the old and new value, and who approved it.

## What changes for the team
- **Merchandiser.** Today: Remapping supplier spreadsheets, fixing import errors and chasing missing specs. Done for you: Reviews batches of drafted listings, settles edge cases and spends the rest of the week on assortment and pricing.
- **Copywriter.** Today: Writing near-identical descriptions for variants and rewriting copied supplier text. Done for you: Owns the brand voice guide the agent follows and writes hero copy for the launches that matter most.
- **Marketplace manager.** Today: Uploading flat files and working through Seller Central and Walmart error reports. Done for you: Handles brand registry, category approvals and the few listing issues that need a person.

## KPIs we measure
- **Time to shelf:** Days from supplier file received to product live, measured per batch from file timestamps and publish dates.
- **Attribute completeness:** Share of required and recommended attributes filled per category, read from the PIM before go-live and every week after.
- **Listing rejections and suppressions:** Count of Amazon and Walmart listings rejected or suppressed per month, pulled from the channel reports.
- **Reviewer edit rate:** How often merchandisers change agent drafts, tracked per field so prompts and rules can be tuned.
- **Returns tied to product information:** Returns coded as not as described or wrong size in your returns platform, tracked monthly.

## Industry data
- Nearly 60%: of consumers have returned a product due to inaccurate or misleading product descriptions (2025) ([Akeneo](https://www.akeneo.com/white-paper/2025-consumer-returns-report))

## Systems it connects to
Shopify, Akeneo, Salsify, Amazon Seller Central, Walmart Marketplace, BigCommerce, Google Merchant Center, SharePoint or Google Drive, NetSuite

## Guardrails
- Nothing publishes to a live storefront or marketplace without a named reviewer's approval.
- The agent never invents specs: any value not found in a supplier source is left blank and flagged.
- Regulated claims about health, safety or sustainability are blocked unless a supplier document supports them.
- Every SKU keeps a field-level change log, and an approved batch can be rolled back in one step.

## What teams say about this work
- Merchants importing around a thousand products want unique descriptions, but Shopify's built-in AI rewrites one product at a time and is not available in the bulk editor, so the work stays manual. ([Shopify Community](https://community.shopify.com/t/rewrite-product-descriptions-in-bulk-with-ai/366337))
- A store owner with more than two thousand collection pages needing copy, meta titles and meta descriptions tried several general AI writing tools and found none that produced short, structured e-commerce copy at that scale. ([Shopify Community](https://community.shopify.com/t/best-ai-tool-for-2000-collection-descriptions-with-seo/399744))
- Sellers describe dozens of listings staying search suppressed for years over missing color and size attributes, with no field on the fix screen to add them and support replies that go in circles. ([Amazon Seller Forums](https://sellercentral-europe.amazon.com/seller-forums/discussions/t/ccb0ae578e5d562403b24fc650a90238))
- Supplier product data routinely arrives with missing attributes, inconsistent units and unusable images, and feeds built from it get rejected by marketplaces. ([Start with Data](https://startwithdata.co.uk/insight/why-supplier-product-data-is-never-usable/))

## Delivery: live in 3 to 6 weeks
1. Week 1: discovery, access and a baseline of today's numbers.
2. Weeks 2–3: build the agents and connect your systems, with your rules and approvals.
3. Weeks 3–5: test on your real history, then pilot on live work with your team reviewing.
4. Weeks 4–6: staged go-live, training, dashboards and handover.

## Executive Ask questions for this workflow
- How many new SKUs are waiting on content right now, and which suppliers are holding them up?
- Which product categories have the most suppressed listings on Amazon this month?
- Which products get the most not-as-described returns, and what is missing from their listings?

## Frequently asked questions
### How long does it take to go live?
Most catalog enrichment builds are live in 3 to 6 weeks. The first part maps your attribute model, controlled vocabularies and brand voice guide. Next we connect your PIM or store and run real supplier files through the agent with your merchandisers reviewing every draft. Once edit rates are low and validation passes, we switch on the live intake and keep tuning with you.

### What does it cost?
Cost depends on how many suppliers and channels you have, which PIM or store you use, and how much copy each product needs. We look at a sample of your supplier files and listings, then give a fixed quote. It is quoted after a short scoping call, with no obligation, so you know the full cost before any build work starts.

### Will the copy sound generic or obviously machine-written?
The agent writes from your real specs and a brand voice guide we build with your team, including words you use and words you never use. Each channel gets its own format and length rules. Merchandisers review drafts in batches during the first weeks, and their edits feed back into the rules, so the copy moves toward how your best writer already sounds.

### Do we need a PIM like Akeneo or Salsify first?
No. Many clients run their catalog in Shopify, BigCommerce or a spreadsheet tied to NetSuite. The agent can write straight to those, keeping a clean attribute model in the background. If you already use Akeneo, Salsify or another PIM, it works inside that tool instead, using your families, attributes and completeness rules.

### What happens when a supplier file is missing data?
The agent first looks in the other documents the supplier sent, such as spec sheets, manuals and images. If the value is still missing, it leaves the field empty, marks the product as incomplete and drafts a short request to the supplier listing exactly what is needed. It does not guess dimensions, materials or safety information.