Product Data and Digital Shelf Automation for Home Furnishings
StyleBoard turns messy vendor files and PIM data into high-converting, import-ready retail product pages. We act as an AI buyer persona that audits your product data across the digital shelf, identifying missing dimensions and broken attributes, and automatically generating the exact spec diagrams and SEO copy needed to drive retail conversion.
Currently in the ATDC accelerator at Georgia Tech.
One chair, two product pages.
Same vendor feed. On the left, the page a retailer publishes when the feed goes straight through. On the right, the page after StyleBoard reads the feed, finds what the shopper needs, and fixes what the vendor got wrong. A composite of patterns seen across furniture retail sites. Product and brand names are invented.
Harlan Side Chair
| Dimensions | 20.0"W x 23.5"D x 38.0"H |
|---|---|
| Seat Height | emptyBlank |
| Style | ModernCopy says farmhouse |
| Material | WoodWhich wood? |
| Unique Features | Seat Height: 18.5", Seat Depth: 17", Weight Capacity: 250 lbs, Ladderback, Contoured Wood Seat, Finish: Weathered Oak, Sold as: Set of 2Specs trapped in text |
| Color | BlackChair is light oak |
The Harlan Side Chair is a modern black wood chair. Seat height is not listed. It appears to be part of a six seat dining set.
Harlan Farmhouse Ladderback Side Chair, Set of 2
| Overall | 20"W x 23.5"D x 38"H |
|---|---|
| Will it fit the table? | 18.5" seat height, 17" seat depthPulled from text |
| Style | FarmhouseMatched to copy |
| Frame | Solid rubberwood, weathered oak finish |
| Color | Weathered oakFixed from Black |
| Seat | Contoured solid wood |
| Back | Ladderback |
| Weight capacity | 250 lbs |
| Sold as | Set of 2Now a filter |
The Harlan is a farmhouse ladderback chair in weathered oak, sold as a set of two for $189.99. Seat height is 18.5 inches, so it fits a standard height table.
None of the fixes on the right needed new information. The seat height, the finish, the pair count, and the weight rating were all in the vendor feed. They were in the wrong field, in free text, or contradicted by another field. StyleBoard reads the whole record the way a buyer would, resolves the conflicts, and writes the page a shopper and a search engine can both use.
One engine that understands upholstery, casegoods, furniture taxonomy, and retailer requirements. It sits beside the systems you already run.
Fixing the broken handoff for complex upholstery and casegoods.
For top regional retailers and major wholesale brands, StyleBoard is automating the ingestion and syndication of complex sofa, sectional, and dining collections. We bypass days of manual vendor mapping, automatically generating the missing spec diagrams, dimensional attributes, and SEO copy required to hit the digital shelf flawlessly.
The quality checks come along for free. Duplicate SKUs, physically impossible dimensions, and missing specs are surfaced and ranked by business impact. Catching syndication errors is the byproduct. Compressing the time to a finished, high-converting product page is the point.
Read the full breakdown →Furniture and home decor product data, automated end to end.
Everything between a manufacturer exporting a file and a customer converting on a retail product page.
Product Data Transformation
Any vendor format in. Clean, mapped, import-ready data out—optimized for complex upholstery, casegoods, and custom variations. Proven on live NetSuite product data.
AI Spec Diagrams & Line Drawings
Automatically extract dimensions from raw text or PIM data to generate the structural line drawings and specification diagrams required by premium retailers and interior designers.
Digital Shelf QA & Auditing
Our reasoning engine audits live retailer PDPs to catch stripped dimensions, missing assets, and syndication leaks across your partner network. Errors are ranked by business impact, not ease of detection.
AI Product Content
Titles, descriptions, and SEO copy generated in your brand voice, designed to fill the gaps left by legacy PIM syndication and ready for immediate review.
Product Classification
Products categorized to your specific taxonomy using vision and text models, eliminating manual tagging for complex furniture hierarchies.
ERP and Shopify Automation
NetSuite imports and Shopify syncs produced without manual data entry.
The same intelligence, pointed at your customer data.
For ecommerce brands running lifecycle and email programs, StyleBoard reads every send against your own performance data and tells you what to change.
Welcome and Lifecycle Intelligence
Where a welcome flow wins and loses, and the offer architecture that actually moves conversion in the first weeks after opt in.
Email and SMS QA
Prices, links, availability, and collections verified against your live site before a send goes out.
Performance Analysis
Which sends build multi category buyers, and when send frequency starts costing more than it earns.
Built by an operator, not a guess about how operations work.
Former VP of Marketing and eCommerce helping manufacturers and retailers automate marketing and merchandising operations with AI.
StyleBoard is built and led by Vivek Singhania, Founder and CEO. He spent five years running merchandising and marketing operations inside a premium home furnishings retailer with a storefront of more than 5000 SKUs, and led marketing at large consumer brands before that. He is a Lean Six Sigma Black Belt with an MBA from the University of Chicago Booth School of Business. StyleBoard pairs that operating knowledge with modern AI to automate the work that traditional software still leaves manual.
Send us a messy vendor file or a broken retail link.
We will send back clean, import-ready data, a generated spec diagram, and a digital shelf QC report. No signup. Just the file.
Book a Demo →or email a file to vivek@styleboard.ai