Fragmented Product Data
Product data was distributed across PIM, a legacy TMS, and downstream systems, leading to duplication, inconsistencies, and a lack of a single version of the truth.
AllSaints Built a Single Source
of Truth Using Boomi Master Data Hub (MDH)
Client Overview
AllSaints is a globally recognized fashion brand known for its distinctive design aesthetic and strong digital-first presence. Operating across retail, wholesale, and e-commerce channels, the organization manages complex product lifecycles across multiple regions. With a strong focus on innovation, consistency, and customer experience, the brand relies on scalable technology platforms to support its global operations.
Business Objective
The fashion brand wanted to modernize its product data landscape by establishing a single, trusted source of truth across the enterprise. Over time, fragmented, point-to-point integrations had created inconsistencies, duplication, and operational inefficiencies that slowed down product launches and impacted downstream systems. The organization recognized the need for a more structured and scalable integration model to support its growing global footprint.
The primary objective was to eliminate siloed data flows and replace brittle integrations with a centralized, well-structured architecture. By doing so, the brand aimed to accelerate reliable product lifecycles – from design and enrichment through distribution and sales, while ensuring both retail and wholesale operations had access to accurate, synchronized information. A key priority was enabling downstream platforms such as ERP, order management, and partner systems to consistently receive validated, timely product data.
Industry
E-commerce/Retail
Platform
Boomi
Service
Master Data Management
Nick Owen
CTO
We are thrilled to share our positive experience with NeosAlpha. Initially engaging them for their...
Read More Challenges
Spreadsheet-Driven Processes
Product enrichment, validation, and exports relied heavily on spreadsheets, increasing operational effort, error rates, and time-to-market.
Legacy Systems
Both PIM and TMS lacked modern APIs, forcing the business to depend on scheduled, file-based transfers with limited visibility and control.
Absence of PLM System
Without a PLM, early-stage product lifecycle activities such as design, sourcing, and costing remained manual and disconnected from downstream processes.
Complex Downstream Integration
Product data needed to flow reliably to multiple systems, including TMS, Neo Order, and BigQuery, each with different data format requirements.
Limited Data Governance
Clear data stewardship, attribute ownership, and governance rules were still evolving, making it challenging to enforce consistency across channels.
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Centralized Product Data Architecture
We designed a unified architecture with Boomi as the integration layer and Boomi Master Data Hub (MDH) as the central system of reference. This replaced brittle integrations with a governed, scalable model that simplified data flows and reduced operational risk.
Golden Product Record with Boomi MDH
NeosAlpha consolidated product attributes in Boomi MDH to create a Golden Product Record. MDH standardised, cleansed, and enriched product data before distributing it to consuming systems.
Modernized File-Based Integrations
Our Boomi experts implemented robust, scheduled SFTP integrations using Boomi to automate product data movement. This ensured reliable, traceable data transfers without disrupting existing legacy systems.
Canonical Data Distribution
Each downstream system required product data in a different format, creating duplication and rework. By leveraging Boomi, we transformed Golden Product Records into system-specific canonical formats. These were delivered consistently to NetSuite, Fabric OMS, and external systems, ensuring data alignment across channels.
Improved Data Governance
Lack of clear data ownership and governance reduced trust in product information. We introduced data quality rules, matching logic, versioning, and role-based access within MDH. This established clear stewardship, auditability, and confidence in product master data.
Future-Ready Architecture
While the initial implementation remained file-based, our client needed a path to evolve. Our team defined a roadmap toward event-driven integrations, improved observability, and PLM adoption. This ensured the architecture could scale and adapt as business and technology needs grow.
Results
Single Source of Truth
Established a trusted Golden Product Record, ensuring consistent and accurate product information across all consuming systems.
Reduced Manual Effort and Errors
Automation replaced spreadsheet-driven processes, significantly lowering manual intervention and improving operational efficiency.
Improved Data Quality
Standardized data models, validation rules, and governance controls delivered higher-quality product data across retail and wholesale channels.
Faster Data Flows
Product data updates reached downstream systems more quickly and predictably, supporting smoother product launches and updates.
Technology Stack
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