List of Wair Fit Advisor Customers
San Mateo, 94403, CA,
United States
Since 2010, our global team of researchers has been studying Wair Fit Advisor 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 Wair Fit Advisor for Personalization and Product Recommendations 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 Wair Fit Advisor for Personalization and Product Recommendations include: Dress Barn, a United States based Retail organisation with 2000 employees and revenues of $350.0 million, Wair, a United States based Professional Services organisation with 50 employees and revenues of $250.0 million, LotusAndLuna, a United States based Retail organisation with 300 employees and revenues of $30.0 million, Manning Cartell, a Australia based Retail organisation with 120 employees and revenues of $20.0 million, BYLT Basics, a United States based Retail organisation with 150 employees and revenues of $20.0 million and many others.
Contact us if you need a completed and verified list of companies using Wair Fit Advisor, 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 Wair Fit Advisor 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 | Insight Source |
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Asher Golf | Retail | 20 | $5M | United States | Wair | Wair Fit Advisor | Personalization and Product Recommendations | 2023 | n/a | In 2023, Asher Golf implemented Wair Fit Advisor on its public website. Wair Fit Advisor provides Personalization and Product Recommendations capabilities to surface size and fit guidance alongside product suggestions during the online shopping journey. The deployment targets the Asher Golf ecommerce storefront and product detail pages, aligning the application with merchandising and customer experience functions. The implementation configured Wair Fit Advisor to operate as an onsite personalization layer, combining fit profiling and recommendation logic with catalog signals and shopper inputs. Configuration work emphasized SKU level recommendation rules, display templates for product pages, and administrative controls for campaign and rule adjustments through the Wair Fit Advisor console. Typical functional modules used include fit advisor questionnaires, product suggestion widgets, and recommendation ranking, enabling merchandising driven product discovery. Operational governance centers with the small Asher Golf ecommerce and marketing team, who manage content, tune recommendation rules, and review personalization segments for the United States storefront. Rollout and ongoing management are described as site focused, with iterative configuration and monitoring of onsite behavior to align recommendations with merchandising priorities. | |
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Aspiga | Retail | 54 | $5M | United Kingdom | Wair | Wair Fit Advisor | Personalization and Product Recommendations | 2023 | n/a | In 2023 Aspiga deployed Wair Fit Advisor on its ecommerce website to provide on‑site product fit guidance and personalized shopping experiences. Wair Fit Advisor functions as the customer facing personalization layer in the Personalization and Product Recommendations category, delivering fit assessment, size guidance, and tailored product recommendations at point of product discovery and checkout. The implementation is active on Aspiga's UK online storefront and is embedded directly into product detail pages and size guide flows. Architecturally the implementation follows a SaaS embedded widget and API model, with client side integration for real time rendering of recommendations and server side API calls for product context and session signals. Functional modules implemented include the Wair Fit Advisor fit assessment engine, recommendation and ranking logic, and front end personalization controls that enable merchandising and ecommerce teams to tune rules and content. Governance was assigned to ecommerce and merchandising owners to manage configuration, content updates, and A and B testing workflows during a phased rollout across priority apparel categories. | |
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Bad Birdie | Retail | 35 | $4M | United States | Wair | Wair Fit Advisor | Personalization and Product Recommendations | 2021 | n/a | In 2021, Bad Birdie deployed Wair Fit Advisor on its website. The Wair Fit Advisor implementation aligns with the Personalization and Product Recommendations category and was provisioned to support on-site fit guidance and product selection flows for the company storefront. The deployment centers on a client-side integration that surfaces the Wair Fit Advisor widget across product pages and category listings, delivering size and fit guidance alongside algorithmic product recommendations. Configuration work included product-to-SKU mapping, recommendation signal tuning, and administrative controls for merchandising staff to adjust recommendation rules and fit logic. Wair Fit Advisor synchronizes with Bad Birdie’s front-end and product catalog via web APIs to consume SKU and variant metadata required for personalized suggestions and fit calculations. Operational ownership is held by the e-commerce and merchandising functions, with the rollout scoped to the consumer-facing website rather than internal systems. Governance emphasized lightweight change control and content moderation workflows appropriate for a 35-person retailer, including role-based access for merchandising edits, documented procedures for recommendation rule changes, and ongoing review cycles to keep fit guidance aligned with product assortments. Training focused on in-application configuration, manual override of recommendations, and processes for maintaining catalog mappings. | |
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Retail | 24 | $9M | United States | Wair | Wair Fit Advisor | Personalization and Product Recommendations | 2025 | n/a |
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Retail | 150 | $20M | United States | Wair | Wair Fit Advisor | Personalization and Product Recommendations | 2022 | n/a |
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Distribution | 36 | $4M | United States | Wair | Wair Fit Advisor | Personalization and Product Recommendations | 2021 | n/a |
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Retail | 10 | $1M | Indonesia | Wair | Wair Fit Advisor | Personalization and Product Recommendations | 2021 | n/a |
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Retail | 2000 | $350M | United States | Wair | Wair Fit Advisor | Personalization and Product Recommendations | 2021 | n/a |
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Retail | 40 | $4M | United States | Wair | Wair Fit Advisor | Personalization and Product Recommendations | 2022 | n/a |
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Retail | 10 | $2M | United States | Wair | Wair Fit Advisor | Personalization and Product Recommendations | 2023 | n/a |
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Buyer Intent: Companies Evaluating Wair Fit Advisor
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