List of Netcore UNBXD Personalization Customers
Mumbai, 400013,
India
Since 2010, our global team of researchers has been studying Netcore UNBXD Personalization 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 Netcore UNBXD Personalization 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 Netcore UNBXD Personalization for Personalization and Product Recommendations include: Backcountry.com, a United States based Distribution organisation with 500 employees and revenues of $627.0 million, City Furniture, a United States based Retail organisation with 1800 employees and revenues of $250.0 million, Vijay Products, a India based Manufacturing organisation with 17 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Netcore UNBXD Personalization, 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 Netcore UNBXD Personalization 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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Backcountry.com | Distribution | 500 | $627M | United States | Netcore | Netcore UNBXD Personalization | Personalization and Product Recommendations | 2025 | n/a | In 2025 Backcountry.com implemented Netcore UNBXD Personalization to sharpen site search and Personalization and Product Recommendations across its ecommerce store. The deployment targeted search-driven demand and on-site conversion workflows, with implementation signals pointing to active usage of search and recommendations personalization modules to refine relevance and product suggestions. The Netcore UNBXD Personalization implementation focused configuration on search relevance tuning and recommendation logic, aligning merchandising controls with personalized product feeds. Functional capabilities included search relevance adjustment, session-level personalization, and product recommendations to support commerce navigation and merchandising objectives, reflecting typical Personalization and Product Recommendations architectures. Rollout proceeded as a rapid go-live, delivering reported results within two months, and the case study documents an increase of 11 percent demand from search sessions, 9 percent revenue per session, and 7 percent site conversion. Operationally the change affected ecommerce, merchandising, and digital marketing functions on Backcountry.com, with governance centered on ongoing relevance management and recommendation rulesets to sustain search-driven revenue outcomes. | |
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City Furniture | Retail | 1800 | $250M | United States | Netcore | Netcore UNBXD Personalization | Personalization and Product Recommendations | 2025 | n/a | In 2025, City Furniture implemented Netcore UNBXD Personalization to improve product discovery, vector search, and personalized recommendations across its ecommerce site. Netcore UNBXD Personalization, a Personalization and Product Recommendations application, was adopted to centralize recommendation logic and reduce development overhead for the retailer's online catalog and merchandising flows. The implementation used core personalization and recommendations modules alongside search capabilities, with explicit emphasis on vector search for semantic product retrieval and relevance tuning. Configuration focused on recommendation workflows and relevance controls that align browsing signals to product suggestions, leveraging the application’s search and personalization feature set. Operational scope covered City Furniture’s ecommerce site and impacted merchandising, digital marketing, and product discovery functions, with the platform operating as the primary personalization and product discovery layer. Deployment and rollout were executed to minimize engineering lift, enabling product teams and merchandisers to adjust recommendation rules and search relevance without extensive developer cycles. City Furniture’s public case study reports outcomes tied to the deployment, citing a 20 percent uplift in conversion rate and a 2.5x improvement in add to cart performance, and it notes reduced development overhead as a rationale for the implementation. The narrative positions Netcore UNBXD Personalization as the focal product discovery and personalization layer for City Furniture’s ecommerce operations, aligning the Personalization and Product Recommendations category to business functions that manage catalog relevance and online merchandising. | |
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Vijay Products | Manufacturing | 17 | $1M | India | Netcore | Netcore UNBXD Personalization | Personalization and Product Recommendations | 2025 | n/a | In 2025, Vijay Products implemented Netcore UNBXD Personalization to improve ecommerce product discovery and on-site search, deploying a solution categorized as Personalization and Product Recommendations. The deployment targeted the retailer ecommerce channel serving India, focusing on search relevance and on-site merchandising to reduce zero result queries and improve search to cart flow. The implementation used Netcore UNBXD Personalization modules oriented around search and personalization recommendations, including on-site search tuning, relevance ranking, and product recommendation engines. Configuration work concentrated on query handling, relevance rules, and dynamic recommendation placements to influence product discovery across category and product detail pages. Operational scope emphasized ecommerce product discovery and the customer facing search experience rather than backend ERP or inventory systems, with deployment patterns suitable for a small retail organization. Rollout followed a phased approach with iterative relevance adjustments, governance by merchandising and ecommerce teams, and ongoing monitoring of search queries and zero result rates to refine personalization rules and recommendation logic. The case study reports improved relevance, a reduction in zero result queries, and conversion and search to cart improvements following the Netcore UNBXD Personalization implementation. Governance centered on merchandising controls and analytics driven tuning, with continued emphasis on search behavior and recommendation accuracy to sustain gains in product findability. |
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