Client Overview
The client 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 their product data landscape by establishing a single source of truth. The primary objective was to move away from fragmented, point-to-point integrations. They aimed to accelerate reliable product lifecycles, support both retail and wholesale operations, and ensure that downstream systems consistently receive accurate, timely product information.
Challenges
1. Fragmented Product Data Landscape
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.
2. Spreadsheet-Driven Processes
Product enrichment, validation, and exports relied heavily on spreadsheets, increasing operational effort, error rates, and time-to-market.
3. Legacy Systems with File-Based Integrations
Both PIM and TMS lacked modern APIs, forcing the business to depend on scheduled, file-based transfers with limited visibility and control.
4. 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.
5. Complex Downstream Integration
Product data needed to flow reliably to multiple systems, including NetSuite, Fabric OMS, and external partners, each with different data format requirements.
6. Limited Data Governance and Ownership
Clear data stewardship, attribute ownership, and governance rules were still evolving, making it challenging to enforce consistency across channels.
How NeosAlpha Helped?
1. Centralized Product Data Architecture
Our client was operating with fragmented, point-to-point integrations across multiple systems. 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.
2. Golden Product Record with Boomi MDH
Product attributes were split between the PIM and a legacy TMS, leading to inconsistent data downstream. NeosAlpha consolidated these attributes in Boomi MDH to create a Golden Product Record. MDH standardised, cleansed, and enriched product data before distributing it to consuming systems.
3. Modernized File-Based Integrations
Both PIM and TMS relied on file-based data exchanges with limited flexibility. 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.
4. 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.
5. Improved Data Governance and Stewardship
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.
6. Future-Ready Architecture Roadmap
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.
Technology Stack
- Boomi iPaaS
- Boomi Master Data Hub (MDH)
- Product Information Management (PIM)
- TMS ERP
- Oracle NetSuite
- Fabric Order Management System
Results
1. Single Source of Truth
Established a trusted Golden Product Record, ensuring consistent and accurate product information across all consuming systems.
2. Reduced Manual Effort and Errors
Automation replaced spreadsheet-driven processes, significantly lowering manual intervention and improving operational efficiency.
3. Improved Data Quality
Standardised data models, validation rules, and governance controls delivered higher-quality product data across retail and wholesale channels.
4. Faster Data Flows
Product data updates reached downstream systems more quickly and predictably, supporting smoother product launches and updates.
5. Scalable and Composable Architecture
The new architecture reduced dependency on legacy ERP systems and positioned our client for future PLM integration and event-driven capabilities.
