One Warehouse, Four Addresses
Sites, warehouses, stores and delivery points are recorded differently in every system: abbreviated streets, missing units, different site codes. Planning and logistics then treat one place as several.
Four delivery points on the route plan. The trucks all arrive at the same dock.
Places Recorded Many Ways
A distribution center has a code in the warehouse system, a stop name in transport planning, a ship-to address in the ERP and another in supplier portals. Addresses are abbreviated differently, suite numbers come and go, and site names follow local habits.
Logistics and planning work on these records as if they were separate places. Inventory for one site is split between codes, route plans contain duplicate stops, freight costs cannot be compared site by site, and network planning starts from a map with more locations than really exist.
Address standardization helps with formatting but does not decide that “DC-07 Reno” and “Reno Distribution Ctr” are the same site. That takes matching across names, addresses and codes together.
Duplicate Sites
One physical site appears as several locations in planning and reporting.
Split Inventory
Stock and shipments for one site are spread over several codes.
Unreliable Costs
Freight and handling costs per site cannot be compared or totalled.
One Record Per Real Place
Resolve location records across systems into one entity per real site, using names, codes and addresses together. Standardize addresses as part of matching, but let the match decide whether two records are the same place.
Give each site a stable ID that warehouse, transport, ERP and planning systems can all reference, and keep new and changed locations joining the right site over time.
Inventory, shipments and costs for the site now add up in one place.
One ID Per Site
Every code, stop and ship-to for the same place shares one ID.
Shared By Every System
Warehouse, transport and planning data join on the same site.
Kept Current
New sites and address changes resolve as they arrive.
The Identity Layer Under Supply Chain
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
How Zingg Masters Locations
Any Entity, Including Places
Train Zingg on your own location data, matching on names, codes and address fields.
Standardize And Match
Zingg Enterprise can standardize fields as part of the flow and match on the standardized values.
Persistent ZINGG_ID
Each resolved location keeps the same ID across runs. ZINGG_ID
In Your Data Platform
Location data is resolved where your supply chain data already lives.
Location Mastering Questions
Is location mastering the same as address standardization?
No. Standardization makes addresses look consistent. Mastering decides which records are the same real place, using names, codes and addresses together.
Which location types can Zingg resolve?
Any you describe with fields: warehouses, distribution centers, stores, plants, offices, delivery points or customer sites.
Can location IDs stay stable as sites change?
Yes. ZINGG_IDs persist, and new or updated records join the location they match.
Does Zingg geocode addresses?
No. Zingg matches the fields you have. If you geocode, coordinates can be one of the fields it matches on.
Plan On Real Locations
Resolve sites and addresses in your own data platform.