About the client
A leading global beverage company generating $20.27 billion in revenue, employing 30,400+ people, and operating across 50+ countries needed to bring its fragmented procurement catalog data for indirect spend under control.
Their procurement platform (Coupa) hosted 200+ product catalogs across some key markets. But the data feeding those catalogs was never standardized: product descriptions, images, tags, and taxonomy varied by geography, making the catalogs difficult to search, difficult to trust, and expensive to maintain.
The challenge
Fragmented and manual catalog management
Manual catalog workflows and inconsistent data standards led to poor visibility, high procurement risk, and significant resource drain across geographies.
What held catalog performance back for the team:
- Fragmented and inconsistent product catalog data across geographies
- No standardized product descriptions, images, or taxonomy
- Significant manual effort involved in managing and updating catalogs
- Limited spend visibility due to incomplete SKU data
- High procurement risks due to inaccurate or outdated supplier information
The catalog interface was never a real issue for the team. The data underneath it was fragmented, inconsistent, and difficult to maintain at scale, which limited visibility, control, and trust in the buying process.
The solution
Standardize the data. Improve catalog quality. Enable the teams.
ewiz procure delivered a structured data cleansing, enrichment, and catalog standardization service for the client’s existing Coupa environment. The team standardized and enriched 8,496 SKUs across 274 catalogs, enhanced product descriptions, tags, and images, and used AI-assisted multilingual enrichment for English and Spanish content. The cleansed and enriched catalogs were then uploaded into Coupa.
The engagement was delivered across three connected workstreams:
Data Enrichment & Catalog Standardization → Supplier Coordination & Operational Excellence → Training & Stakeholder Alignment
1. Data enrichment & catalog standardization
The product data underlying 274 catalogs was cleaned, structured, and enriched before being pushed back into the client’s Coupa environment.
Capabilities included:
- SKU standardization using a structured SOP
- Enhancement of product descriptions, tags, and images
- AI-assisted multilingual catalog creation (English & Spanish)
- Direct upload of enriched catalogs into Coupa
2. System integration & operational excellence
Catalog accuracy was delivered through ongoing supplier coordination.
The workflow included:
- End-to-end supplier communication management
- Prompt follow-ups and escalations
- Weekly progress and compliance reviews
- Efficient resolution of supplier discrepancies
3. Training & stakeholder alignment
Adoption was supported through structured enablement rather than left to self-onboarding.
This included:
- Concise video training for internal teams
- Practical user manuals and support documentation
- Regular progress updates with subject-matter experts
- Support for smooth, disruption-free adoption
The impact
Procurement moved from fragmented, manually maintained catalogs to a standardized, governed data foundation.
- 100% Indirect spend visibility across key suppliers
- 8,496 SKUs standardized and enriched across 274 catalogs
- 65%+ SKUs accurately mapped to manufacturer data
- 70%+ SKUs simplified with clear descriptions
- 22% Previously uncategorized spend identified
Outcome: Improved catalog quality, spend visibility, and supplier alignment.
Why it worked
It addressed the data gap rather than replacing the procurement platform
The client already had a Coupa. The problem was the fragmented, inconsistent product data feeding it. ewiz procure standardized the underlying layer (descriptions, tags, images, taxonomy) while allowing Coupa to remain in the system of record.
It created governance around catalog enrichment
Product data was cleaned, classified, and enriched through a structured SOP instead of being maintained inconsistently across 274 catalogs and multiple geographies. That improved both searchability and trust in the data.
It combined AI enrichment with human validation
AI generated catalog content, enriched descriptions, and mapped products to approved taxonomies. Records the AI flagged as ambiguous were routed to procurement experts for review. This reduced manual effort while keeping accuracy under human control; AI assists; procurement decides.
It reflected how the client’s catalog operations actually work
Multilingual catalog creation (English & Spanish), supplier discrepancy resolution, and direct upload into the client’s live Coupa environment were configured around the client’s real procurement setup, not a generic catalog template.
Adoption was treated as part of the operating model
The deployment included video training, practical user manuals, and regular stakeholder progress updates, helping teams adopt the new process rather than simply making standardized catalogs available.
