List of Fit Finder Customers
Berlin, 10247,
Germany
Since 2010, our global team of researchers has been studying Fit Finder customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Fit Finder for Product Information Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Fit Finder for Product Information Management include: ZARA, a Spain based Retail organisation with 95000 employees and revenues of $20.76 billion, Peek & Cloppenburg, a Germany based Retail organisation with 16000 employees and revenues of $4.00 billion, Zara USA, a United States based Retail organisation with 7000 employees and revenues of $3.64 billion, Massimo Dutti Spain, a Spain based Retail organisation with 10000 employees and revenues of $1.42 billion, Puma Germany, a Germany based Retail organisation with 2154 employees and revenues of $923.0 million and many others.
Contact us if you need a completed and verified list of companies using Fit Finder, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Fit Finder customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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ANSON'S Herrenhaus | Retail | 500 | $100M | Germany | Fit Analytics | Fit Finder | Product Information Management | 2020 | n/a |
In 2020, ANSON'S Herrenhaus implemented Fit Finder on its website as a Product Information Management solution. The deployment focused on embedding Fit Finder into the online storefront to deliver structured sizing guidance and consistent product attribute presentation for apparel assortments.
Fit Finder was configured to provide fit recommendation logic, product attribute normalization, and front end display rules aligned to category and SKU data. The implementation emphasized catalog enrichment workflows and standardized measurement fields to enable the application to compute and display size suggestions and fit notes on product detail pages.
The Fit Finder implementation was embedded on ANSON'S Herrenhaus website and integrated with the retailer storefront and product catalog layer to surface recommendations at point of consideration. Operational coverage included e-commerce merchandising and online customer service touchpoints where fit guidance informs purchase decisions and returns handling.
Governance and rollout were organized through the retailer's merchandising and product data teams, who managed attribute stewardship, category-level configuration, and ongoing content updates. The implementation established processes for maintaining measurement data quality and for iteratively adjusting fit rules as new products and categories were onboarded.
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Bergzeit | Retail | 370 | $60M | Germany | Fit Analytics | Fit Finder | Product Information Management | 2022 | n/a |
In 2022, Bergzeit implemented Fit Finder on their website, deploying the Fit Finder application as part of their Product Information Management footprint. The implementation centers on surfacing size and fit guidance directly within product detail and category pages, aligning product attributes with recommended size logic provided by the Fit Finder application.
The deployment is implemented as a website-integrated front end complemented by catalog-level configuration, with functional capabilities that include fit recommendation rules, product attribute normalization, and catalog-to-size mapping. Administrators use a configuration interface to map Bergzeit product attributes to Fit Finder inputs and to manage category-specific guidance, enabling consistent size guidance across apparel and outdoor gear assortments.
Operational integration covers Bergzeit e-commerce product catalog and site merchandising workflows, with the Fit Finder front-end widget embedded in the storefront and backend synchronization to keep attribute and sizing data aligned. The rollout targets e-commerce, merchandising, and customer service workflows within Bergzeit’s German online operations, ensuring product data used for size guidance is governed by catalog sources of truth.
Governance and process adjustments emphasize product data stewardship and content approval workflows, placing responsibility for attribute mapping and fit rules with merchandising teams and catalog owners. Fit Finder is therefore positioned as a Product Information Management adjunct that centralizes sizing logic and product attribute alignment for Bergzeit’s online selling channels.
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Betty Barclay Group & Co. | Manufacturing | 283 | $139M | Germany | Fit Analytics | Fit Finder | Product Information Management | 2019 | n/a |
In 2019 Betty Barclay Group & Co. deployed Fit Finder on its public e-commerce site as part of a Product Information Management initiative to improve on-page product data and shopper fit guidance. The Fit Finder application was embedded into product detail flows to present size and fit recommendations alongside catalog content, aligning product attributes with customer-facing sizing guidance.
Fit Finder configuration emphasized catalog-level attribute mapping and front-end widget placement, enabling the application to surface measurement-based recommendations within the online storefront. Operational coverage was focused on the German ecommerce site, impacting ecommerce, merchandising, and customer experience functions, with governance centered on catalog data alignment and ongoing tuning of fit guidance rules.
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Retail | 3500 | $300M | United Kingdom | Fit Analytics | Fit Finder | Product Information Management | 2020 | n/a |
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Retail | 10 | $1M | United States | Fit Analytics | Fit Finder | Product Information Management | 2020 | n/a |
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Retail | 400 | $40M | Brazil | Fit Analytics | Fit Finder | Product Information Management | 2019 | n/a |
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Retail | 1100 | $200M | Italy | Fit Analytics | Fit Finder | Product Information Management | 2023 | n/a |
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Retail | 5000 | $750M | Germany | Fit Analytics | Fit Finder | Product Information Management | 2020 | n/a |
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Retail | 50 | $5M | Germany | Fit Analytics | Fit Finder | Product Information Management | 2019 | n/a |
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Distribution | 400 | $70M | Germany | Fit Analytics | Fit Finder | Product Information Management | 2021 | n/a |
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Buyer Intent: Companies Evaluating Fit Finder
- Bath Spa University, a United Kingdom based Education organization with 1000 Employees
- American Eagle Outfitters, a United States based Retail company with 43000 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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