A supplier onboarded through procurement, invoiced through accounts payable and vetted through compliance often ends up as three separate records. Each system sees one of them, and nobody sees the supplier.
Three vendors, three payment terms, three risk reviews. It is one supplier.
Supplier data is created in many places. Procurement onboards a vendor, accounts payable sets up a payee, a business unit adds the same company to its own ERP, and compliance opens a review under the legal name. Different spellings, a subsidiary listed as a new vendor, or an updated tax ID that never syncs back each look like a new supplier.
The cost shows up quietly. Duplicate payments slip through because the invoice matched a different vendor record. Spend reports undercount your largest suppliers. Negotiations happen without the full volume on the table, and risk teams review the same company twice while missing the record that actually changed.
Manual cleanup does not keep up. A one-off vendor master project fixes today’s duplicates, and new ones arrive with the next onboarding form.
The same invoice is paid to two vendor records that are really one supplier.
Spend is split across duplicates, so your biggest suppliers look smaller than they are.
Reviews, contracts and certifications sit on one record while orders flow through another.
Resolve supplier records across every system into one entity per real supplier, with a stable ID that every system can carry. Match on names, addresses, tax IDs, bank details and contacts together, because no single field is reliable on its own.
Keep it running. New vendors, updates and deactivations should flow into the same resolved supplier, so the view stays current without another cleanup project.
Spend, contracts, payment terms and reviews all attach to one supplier.
Every vendor, payee and supplier record for the same company carries the same ID.
ERP, accounts payable, procurement and compliance read the same supplier.
New and changed vendor records join the right supplier as they arrive.
Zingg runs as a workload inside your data platform and gives every entity one persistent ZINGG_ID. Everything above it reads the same resolved entities.
The same layer powersCustomer Analytics & MarketingFinancial Crime & RiskPrivacy & ComplianceProduct 360Master Data ManagementAI & Data Foundations
Train on your own data and match on the supplier attributes you care about, from legal name to remit address.
Deterministic rules on tax or registration numbers work alongside learned matching on names and addresses. How Zingg matches
Zingg learns which records are worth comparing, so matching stays fast as the vendor base grows. Scale
Supplier 360 is written back to your data platform for every downstream application to use.
A single view of each real supplier, built by resolving vendor, payee and supplier records from every system into one entity with a persistent ID.
Yes. Deterministic rules use tax IDs where they agree, and learned matching on names, addresses and contacts catches suppliers where the ID is missing or out of date.
No. Zingg reads supplier records from your data platform and writes resolved suppliers back there. You decide how the results flow to ERP and procurement systems.
Inside your data platform on Databricks, Snowflake, Microsoft Fabric, Google Cloud or AWS.
Resolve suppliers across every system in your own data platform.