Automate your marketing and merchandising operations with AI
StyleBoard turns messy vendor files, product data, and customer data into clean, automated operations. We go deepest in furniture and home decor, where a raw vendor file becomes import ready catalog data in a fraction of the usual time. Marketing teams run the same engine to sharpen lifecycle and email.
Currently in the ATDC accelerator at Georgia Tech.
This is not a set of tools. It is a reasoning engine for product information.
One messy input from a vendor. One engine that understands products, images, taxonomy, and your business rules. The outcomes you actually need, ready for any system you run.
A vendor file of more than a thousand products, import ready in a fraction of the time.
For a premium home furnishings retailer running a catalog of more than 5000 SKUs, StyleBoard took a raw vendor assortment file and produced a clean NetSuite import in a single pass. Work that normally consumes days of manual entry compressed into a run you can watch happen.
The quality checks came along for free. Duplicate SKUs, a physically impossible dimension, and a missing spec, each surfaced and ranked by what it would actually cost the business. Catching errors is the byproduct. Compressing the time to a finished, sellable catalog is the point.
Read the full breakdown →The furniture and home decor catalog, automated end to end.
Everything between a vendor sending you a file and a customer seeing a finished product page.
Product Data Transformation
Any vendor format in. Clean, mapped, import ready data out. This is the work already proven on a live NetSuite catalog.
Product Classification
Products categorized to your own taxonomy using vision and text models, not manual tagging.
AI Product Content
Titles, descriptions, and SEO copy generated in your brand voice, ready for review rather than written from scratch.
Image Processing
Resizing, cropping, and background work at catalog scale, held to a single consistent spec.
ERP and Shopify Automation
NetSuite imports and Shopify syncs produced without manual data entry.
Catalog and Website QA
Errors caught before they reach a customer, ranked by business impact rather than by ease of detection.
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 catalog 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.
We will send back clean, import ready data and a QC report. No signup. Just the file.
Book a Demo →or email a file to vivek@styleboard.ai