AI Catalogue Enrichment
Thousands of SKUs described, tagged and ready to sell.
We build AI catalogue pipelines that generate or clean titles, descriptions, attributes and category tags from supplier data and images, apply your brand voice and channel rules, and route outliers to editors before publishing.
- Titles and descriptions
- Attribute extraction
- Channel rules
Free 30-minute call with a senior specialist. Reply within one business day. Based in Jaipur, working with businesses across India.
- Discovery callFree 30 minutes with a senior specialist
- Scoped first phaseWritten scope, timeline and fixed price
- Build with weekly demosWorking software you can see every week
- Launch and supportGo-live with your team ready, then ongoing support
What is AI product catalogue enrichment?
AI catalogue enrichment uses language and image models to create or improve product titles, descriptions, attributes and category tags at scale, following your brand voice and marketplace rules. Stack18 builds it with validation and editor review so catalogue quality improves without publishing errors.
Last reviewed 30 October 2026 by the Stack18 delivery team in Jaipur. Security and AI governance · Pricing · About Stack18
| What it covers | Data cleaning; Content generation; Attributes and tags; Channel rules; Review and quality. |
|---|---|
| Typical first step | Discovery Sprint: 2 weeks, fixed price. |
| Build route | Fixed-scope first release: agreed in discovery; fixed price after discovery. |
| Long-term option | Transformation Pod: 12–36 months, annual contract. |
| Measured by | SKU listing time; Attribute completeness; Listing rejection rate; Editor hours per SKU. Each against an agreed baseline. |
| Governance | Human approval at 5 governance gates, every AI agent action logged, NDA available on request. |
| Delivery team | Based in Jaipur, India. A senior specialist replies within one business day. |
You need this when…
Tap the ones that apply to you.
AI Catalogue Enrichment, end to end.
Each capability is delivered by the same team on the Agentic SDLC, with your approval at every critical step.
Data cleaning
Start from reliable inputs.
- Supplier file normalisation
- Duplicate detection
- Category mapping
Content generation
On-brand, accurate copy.
- Titles and descriptions
- Bullet points and care notes
- Hindi and English variants
Attributes and tags
Better search and filters.
- Attribute extraction from text and images
- Size, colour and material tags
- Taxonomy alignment
Channel rules
Fit each marketplace.
- Format and length rules
- Prohibited-term checks
- Bulk export templates
Review and quality
Control before publishing.
- Confidence-based review
- Editor approval
- Change log
A typical engagement, step by step.
Senior people lead every phase. Specialised AI agents on the Agentic SDLC handle the repetitive work, and nothing ships without your approval.
Discovery
Map how catalogue management works today, the systems and data involved, and agree the first measurable outcome.
Design
Design the workflows, roles, integrations and approval points for catalogue management.
Build in weekly demos
Your team sees working catalogue management software every week, with changes agreed in the open.
Launch and support
Data migration, training, go-live support and a measured 30-day review against the baseline.
Start small. Scale when it works.
Every engagement begins with a short, fixed-price step so you can judge the fit before committing further. See pricing.
Discovery Sprint
Teams deciding scope and priorities before they commit.
- Duration
- 2 weeks
- Pricing
- Fixed price
- Scoped plan and timeline
- Team and fixed price
- Process map or prototype
Fixed-scope first release
Teams that know what they need built.
- Duration
- Agreed in discovery
- Pricing
- Fixed price after discovery
- Written scope and acceptance criteria
- Weekly demos
- Handover with documentation
Transformation Pod
Multi-system programmes that run for years.
- Duration
- 12–36 months
- Pricing
- Annual contract
- Dedicated cross-functional team
- Quarterly business reviews
- One accountable partner
What we have shipped, and what a typical engagement looks like.
Delivered projects link to the full case study. Illustrative scenarios describe typical engagements and are not named client results.
Marketplace seller with thousands of SKUs
- Challenge
- Listings delayed by messy supplier data and missing attributes.
- What we do
- Cleaning and enrichment pipeline with editor review.
Pilot in weeks
Free catalogue management review
Tell us where catalogue management hurts most. We map what to fix first, whether ready-made or custom fits, and a realistic first step.
- Where to start and why
- Ready-made vs custom view
- Indicative timeline
We agree targets before we start.
Every engagement has a baseline and a target on the measures that matter to you, reported at every read-out.
AI Catalogue Enrichment questions.
Will the AI invent product details?
We constrain generation to supplier data and images and flag anything unsupported for review.
Can it write in Hindi as well?
Yes. We handle English and Hindi variants and review quality with you.
Does it follow marketplace rules?
We encode the rules you provide per channel and check prohibited terms.
How many SKUs can it handle?
The pipeline is built for bulk processing, and we size it in discovery.
How do we pilot?
On a sample of your SKUs, comparing time and quality against your current process.
Guides, comparisons and proof.
AI Agents for Business: A Practical Guide
What AI agents are, how they differ from chatbots, where businesses use them, and how to start with governance…
Read →CompareReady-Made vs Custom Software: How to Choose
Ready-made systems go live in weeks at a fixed price.
Read →IndustryRetail & D2C Technology: Website, App & ERP
Technology for retail and D2C brands: storefront, app, inventory, ERP and WhatsApp growth on one stack.
Read →Case studyCase Study: Ethnic Wear D2C Website, App & ERP
How Stack18 built the website, mobile app and ERP for a ₹100+ crore ethnic wear D2C brand in Jaipur, with a…
Read →Let's scope your AI Catalogue Enrichment project.
Tell us where you are and where you want to be. A senior specialist will reply within one business day with next steps.
- Free 30-minute consultation
- Indicative estimate after the call
- NDA available on request