WGSN INstock interprets the e-commerce catalogues of major retailers and brands across the UK, North America and Australia to enable fast, confident trading decisions for commercial teams.

1. INstock
DELIVERING
RETAIL ANALYTICS
TO DRIVE BETTER DECISIONS
"When I first saw WGSN INstock, I felt like I was on Wall Street.
My team now have the competitor information they need at their
disposal, so they can make confident decisions and not waste time."
- Jo Hales, Buying Director, Marks & Spencer

2. wgsninstock.com | contactus@wgsn.com | +44 20 7715 6200
AN ESSENTIAL
BUSINESS TOOL
WGSN INstock sources millions of data points from 11
million SKUs every day. Key metrics with simple,
powerful data visualisations enable you to:
• Capture a detailed record of competitors’ product
ranges over time
• Respond quickly to marked-down options to avoid
terminal stock
• Identify future potential bestsellers and prevent
avoidable mistakes
• Create compelling assortments that balance value,
newness fashion
• Track shifts in price architecture among your
competitors
• Avoid manually compiling data, and instead have it
before it is out of date
• See when key lines drop to make sure you’re never
too early or too late to market
DATA YOU CAN
DEPEND ON
Trusted by the world's leading brands, including all
Fortune 500 apparel brands, WGSN was launched in
1998. When we noticed our top clients struggling to
keep up with the pace of today's retail landscape, we
developed WGSN INstock to meet their specific needs.
WGSN is backed by:
• A commitment to significant investment people,
technology and content, with more than £50 million
invested in WGSN in the last 3 years
• A unique taxonomy and ability to scale gives WGSN
INstock its technical advantage and makes it
indispensable for fashion retailers
• A global team of over 450+ industry specialists and
thought leaders, data quality collection specialists,
and data scientists, who provide context and insight
into the industry at large
• Conceived in consultation with industry professionals
to respond specifically to market needs
• WGSN INstock users have better odds of success
due to the in-depth research and consultation
we carried out with over 50 fashion industry
professionals
• WGSN INstock's robust and scalable solution
2014 Silver Winner, Best New Product of the Year (Enterprise), Best in Biz Awards
WHEN ONE DATA MISTAKE CAN COST
YOU MILLIONS, WHY LEAVE YOUR
MERCHANDISING DECISIONS TO CHANCE?
WGSN INstock uses advanced data science to enable fashion companies to
make better buying decisions throughout the lifecycle process.