The catalog tax: how poor catalog data quality slows growth

Last Update: July 16, 2026by Divyesh Wani

Most procurement leaders treat the product catalog as operational plumbing, something a category manager maintains rather than a steering-committee concern. That instinct is expensive. Poor catalog data quality does not just slow the procurement team. It taxes the entire business, and the bill keeps growing the longer it sits.

When buyers cannot find what they need, they go off-catalog. Specs drift, demand fragments, spend visibility collapses, and the AI and reporting projects that depend on clean inputs stall before they start. None of this shows up as a single line item, which is exactly why it persists.

This article breaks down the four hidden costs of messy catalog data, why “fix the ERP” misses the point, and the modular path to clean buying that wins in weeks rather than quarters.

 

Key takeaways

  • Messy catalog data quietly taxes the whole business across four areas: time, choice, trust and spend visibility.
  • The problem is rarely the ERP. SAP, Coupa, Oracle and Ariba work fine; the catalog feeding them is broken.
  • The fix is modular, not a rip-and-replace: standardise, enrich, automate and govern the data before it reaches your platform.
  • A global beverage leader standardised 8,496 SKUs across 274 catalogs and reached 100% indirect spend visibility, without replacing Coupa.

Catalog data quality is a business problem, not a category-manager task

Here is the verdict up front: if your catalogs are messy, you are already paying a tax, whether or not anyone has named it. Karthik Rama, known as the “Procurement Doctor,” described this kind of environment as a silent virus on the Beyond Procurement podcast:

“Bad data doesn’t shout. It erodes. Slowly, quietly. Until leaders realize they’ve lost 10 or 15 percent of their visibility.”

That erosion starts in the catalog. When the catalog breaks, everything downstream breaks with it, which is why this belongs on the CPO’s agenda and not buried in a category manager’s backlog.

The Catalog Tax: A framework for what messy data really costs

If your catalogs are messy, your business pays four hidden taxes:

  1. Time Tax

Buyers can’t find items fast, so they spend 10 minutes searching across three systems, email procurement for help, use free-text requests that bypass the catalog, or message the supplier rep they trust directly.

Procurement becomes the bottleneck. Every “Can you help me find this?” pulls buyers away from strategic work.

  1. Choice Tax

When descriptions are vague or items are missing, buyers purchase “close enough” products. Specs drift. Quality varies. Engineering orders one grade. The plant orders another. Finance thinks it’s the same thing. It’s not.

You’ve lost demand aggregation. You can’t compare prices because you’re not comparing the same product.

  1. Trust Tax

When buyers have bad experiences with the catalog, they stop using it. Email becomes the procurement system. Spreadsheets become the catalog.

Maverick buying isn’t rebellion — it’s a rational response to a system that doesn’t work.

  1. Data Tax

If catalog data is messy, spend visibility is broken. You can’t aggregate demand if SKUs aren’t standardized. You can’t forecast if half your buys say “miscellaneous.”

Worse: your AI initiatives stall. AI doesn’t clean messy inputs — it amplifies whatever patterns exist. Inconsistent taxonomy means noisy forecasts. Duplicate suppliers mean incomplete risk alerts.

When procurement teams are stuck in this cycle, they’re consumed by reactive document preparation and supplier chasing, leaving no capacity to analyze data, read the market, or think strategically.

As Vera Rozanova, former CBO and procurement transformation leader, observed on the Beyond Procurement podcast:

“The catalog is often where that firefighting starts.”

Old Way vs New Way: Why “fix the ERP” misses the point

→ Old Way (what creates the catalog tax):

  • Fragmented catalogs by region or business unit.
  • No consistent taxonomy, the same item living in three categories.
  • Incomplete descriptions, missing images, outdated supplier info.
  • Manual updates through spreadsheets and emails.
  • Buyers bypassing the catalog, driving maverick buying and tail spend leakage.

This isn’t an ERP problem. Most enterprises have SAP, Coupa, Oracle, or Ariba. The platform works.

The catalog feeding it is broken.

→ New Way (Modular Beats Monolithic):

Don’t replace your ERP. Don’t rip out Coupa. Fix what’s feeding them.

Add a catalog layer that:

  • Standardizes taxonomy across regions, one SKU, one truth
  • Enriches descriptions, images, specs, so buyers find items fast
  • Automates multilingual content so global rollouts don’t stall
  • Publishes directly into your S2P platform, no disruption
  • Includes managed services – supplier coordination, validation, and governance, so catalogs stay clean

This is the modular wedge. You’re not replacing infrastructure. You’re adding the missing capability.

Because it integrates with systems buyers already use, adoption is faster. No new login. No new workflow. Just better data.

Want to see what clean buying actually looks like?

Watch the ewiz procure demo

Real-world success story: What happens when you fix the catalog first

A global beverage leader was running mature ERP and P2P platforms and was still paying the catalog tax.

Global Beverage Leader (50+ countries, Coupa backbone)

The problem wasn’t Coupa. It worked fine. The problem was that Coupa was loaded with fragmented, non-standard SKUs across geographies, no common taxonomy or image standards, heavy manual effort to update entries, and poor visibility into indirect spend because SKUs were incomplete.

Result: buyers avoided the catalog. Guided buying failed. Tail spend leaked. Reporting was a monthly debate instead of a daily fact.

What changed:

Working with Powerweave’s ewiz procure team, they ran a structured four-phase program:

  1. Data Enrichment: Standardized 8,496 SKUs across 274 catalogs with locked taxonomy, naming rules, and image standards. Used AI for multilingual entries (EN/ES) with human QA gates.
  2. Supplier Enablement: Coordinated supplier communications, follow-ups, and discrepancy resolution through managed services.
  3. Coupa Integration: Loaded enriched catalogs directly into Coupa test and production environments with validation, smoke tests, and rollback plans.
  4. Training & Adoption: Delivered video training, role-based guides, and SME office hours for the first four weeks post-go-live.

The hard metrics:

  • 70%+ SKUs simplified with clear, consistent descriptions
  • 65%+ SKUs mapped accurately to manufacturer data
  • 22% of previously uncategorized spend was identified
  • 100% indirect spend visibility across key suppliers

The Procurement Operations Leader said it plainly:

“Powerweave dramatically improved our procurement catalogs’ quality and visibility. Their structured process, supplier coordination, and AI-driven approach saved us valuable time and ensured compliance across multiple markets. We now have complete clarity and confidence in our procurement data.”

— Procurement Operations Lead, Global Beverage Company (Name withheld due to confidentiality)

They didn’t replace Coupa. They fixed what was feeding it.

Want to see what this looks like inside the platform?

 Explore the Catalog Buying Demo

smart search, real-time comparisons, and ERP-ready workflows in one view.

Want the full story? Download the detailed case study with problem statement, delivery approach, and outcome scorecard:

Download the case study

The 2-Minute Self-Check: Do you have a catalog tax problem?

If you answer “yes” to two or more, your catalog is slowing growth:

  1. Do buyers rely on free-text for common purchases? If “Other — please specify” is your most popular catalog category, your taxonomy is broken.
  2. Do you have duplicate suppliers? Same vendor, multiple names (e.g., “ABC Corp,” “ABC Corporation,” “ABC Ltd.”). Karthik Rama estimates this can hide up to 10% of your spend.
  3. Do item descriptions lack specs, units, or lead times? If buyers have to call the supplier to confirm what they’re actually ordering, your catalog isn’t doing its job.
  4. Does the same item live in multiple categories? If a simple search returns zero results but the item exists under a different name or category, buyers will bypass the system.
  5. Are catalogs updated only when someone screams? If catalog governance is reactive — “fix this SKU because Finance complained” — you’re fighting fires, not preventing them.

Two or more answers with “Yes”?

You’re paying the catalog tax.

Two objections we hear from every CPO

“We don’t have bandwidth to clean catalogs.”

Every CPO says this. Fair point, your team is stretched.

But here’s the trap: the catalog tax compounds. Every month you wait, it gets worse. More duplicates. More maverick buys. More manual work.

When you launch that AI initiative or Finance asks for Scope 3 reporting, you’ll hit the same wall: the data isn’t ready.

The modular answer:

You don’t clean all the data. You fix the creation process so that new data enters clean.

Start with one wedge: tail spend categories with high maverick buying, or high-volume low-complexity buys, or supplier onboarding, so vendors enter with complete data.

Plug in the catalog layer. Load into your ERP. Train users. Measure adoption weekly.

Win in weeks. Scale when ready.

“Coupa already has a catalog module.”

True. So does SAP. So does Coupa.

But the issue isn’t the platform. It’s what’s loaded into it.

Coupa’s catalog hosting works. The gap is the period before data reaches Coupa: enrichment, taxonomy enforcement, multilingual standardization, and supplier coordination that turn raw product data into usable information for buyers. That’s the capability layer most teams are missing.

You need the ability to standardize, enrich, and govern data before it hits the platform.

That’s what the modular layer does. It doesn’t replace Coupa. It fixes what feeds Coupa, your existing ERP, or procurement setup.

Buyers don’t see a new tool. They see better data where they already work.

Ready to lift the catalog tax?

If you’re a CPO, Procurement Ops Lead, or Category Head and your buyers are still wasting time on “can’t find it” searches, free-text requisitions, and supplier back-and-forth. your catalog isn’t just a data problem. It’s a speed and compliance problem.

We’ll review your current catalog model and pinpoint:

  • Where buyers are going off catalog most often, and what’s breaking in the buying journey
  • Which categories and suppliers are driving the highest exception load, and how to fix it fast
  • What integrations you actually need (Coupa/Ariba uploads, taxonomy mapping, supplier data feeds) versus what you can leave untouched
  • The smallest catalog changes that pull buying back into a guided front door instead of email, WhatsApp, and spreadsheets

Outcome: a prioritized “Catalog Tax” action list you can execute in weeks, not quarters.

Book a free discovery call

No pitch decks, no generic demos. Just a direct conversation about where your integration stands and what it needs.

Frequently asked questions

Catalog data quality is how complete, consistent and standardized your product catalog is, covering taxonomy, descriptions, specs, images and supplier records. High-quality means one item maps to one entry across regions and systems, so buyers find what they need and spend data stays clean and aggregable.

It taxes four areas at once: buyer time spent searching, choice drift when buyers settle for "close enough," lost trust that pushes people off-catalog, and broken spend visibility. Together these inflate tail spend, weaken forecasting, and stall AI and reporting projects that depend on clean, standardized inputs.

No. Platforms like SAP, Coupa, Oracle and Ariba host catalogs well; the gap is the enrichment, taxonomy enforcement, multilingual standardization and supplier coordination before data reaches them. A modular catalog layer standardizes and governs data, then publishes into your existing platform with no rip-and-replace

You do not clean everything at once. Fix the creation process so new data enters clean, then start with one wedge: a high-maverick tail-spend category or supplier onboarding. Plug in the catalog layer, load it into your platform, train users, and measure adoption weekly. The tax only compounds while you wait.

A modular wedge is designed to win in weeks, not quarters. A focused programme typically runs enrichment, supplier enablement, platform integration and adoption support in sequence on a single category, then scales. A global beverage leader reached 100% indirect spend visibility through this approach.

AI does not clean messy inputs, it amplifies the patterns already present. Inconsistent taxonomy produces noisy forecasts and duplicate supplier records produce incomplete risk alerts. Standardizing catalog data first is what makes downstream analytics, spend visibility and AI projects reliable rather than confidently wrong.