Blog

Fashion & Retail Insights

Practical perspectives on merchandising, analytics and building better fashion businesses.

Fashion boutique
★ FeaturedFashion Processes
Looking to Avoid Color Mishaps?

On 31 Mar 2017, the Lululemon stock prices crashed by more than 24% — a USD 2 billion loss. The executives blamed a Spring collection that lacked depth and color. Traditional reporting creates information blindness. Kanvas solves it.

Read Article →
Fashion Processes

Are There Too Many Lost Opportunities in Your Collection?

50% of those who encounter an out-of-stock will visit another store. Retailers can achieve at least 10% more revenue with optimal stock levels. Kanvas helps you identify the gaps.

Read More →
Analytics

Are You Seeing the Big Picture in Your Sell Through Reports?

Industry average sell-through is ~60–70%. Top retailers hit 85%. Kanvas associates images with data, providing concept and evidence in one screen.

Read More →
Buying Houses

How Can Kanvas Accelerate Core Processes in Buying Houses?

Sourcing agencies spend days collecting and emailing images. Kanvas enables teams to collate, sort and share effortlessly — so they can focus on business targets.

Read More →
Inventory

Improving Company-Wide Stock Turn

Within 10 minutes of a Kanvas demo, a leading retailer discovered 80% of top sellers in Heels were block heels — up from 30% the prior year. Hidden in their data.

Read More →
Retail Operations

Kanvas for Retail Operations: Inventory, VM, Promotions

From inventory management to promotional planning and visual merchandising — Kanvas empowers retail operations teams with visual insights that drive action.

Read More →
Digital Assets

Kanvas for Digital Asset Management

Master data clean-up, image validation, feed to e-commerce — Kanvas transforms how fashion brands manage their product data and imagery pipeline.

Read More →
Looking to Avoid Color Mishaps?

On 31 Mar 2017, the Lululemon stock prices crashed by more than 24%. A USD 2 billion loss — because of a Spring collection that lacked depth and color.

So, how does a leading brand like Lululemon make such an error? Is it that the merchandisers did not know or did not realise that there needed to be more colour in the range?

We believe that the root cause is the way fashion and apparel brands analyse their assortment, inventory and sales performance data.

The Information Blindness Problem

The traditional reporting systems deployed by brands look at tabular and numeric data sorted by product codes. And it is very hard to identify colour gaps or design gaps in the assortments based on spreadsheet-type reports. This leads to information blindness on designs and colours, resulting in huge sales opportunity losses.

"It is very hard to identify colour gaps or design gaps in the assortments based on spreadsheet type reports. This leads to information blindness on designs and colours."

This information blindness further compounds down the value chain, because after the product design function, managers in organisations are heavily dependent on spreadsheet-type reports, completely missing the design nuances. There is no early warning system — stores and operations cannot communicate on required changes to the assortments in a way that users in design and sourcing would understand.

How Kanvas Solves This

It is precisely to address this problem that we created Kanvas — an intuitive platform that helps identify gaps around colour palette, silhouette and more.

Kanvas associates images with tabular data, providing concept and evidence in one screen. When your sell-through report is visual, you can see that your range lacks colour depth — instantly, without manually pasting images into spreadsheets.

Kanvas further allows for users across the entire value chain to communicate and collaborate on design inputs and feedback, allowing quick response. The result: the kind of assortment gap that cost Lululemon $2 billion becomes visible — and fixable — before it reaches market.

← Back to Blog

Ready to see beyond tabular data?

Book a 30-minute demo with our team.

Book a Demo →