Claro

Browse Resources

Free tools, a product-data glossary, neutral comparisons, step-by-step playbooks, articles, and evergreen guides for catalog teams — matching, deduplication, classification, enrichment, AI validation, and AI search.

Glossary
  1. 01 What Is Entity Resolution?
  2. 02 Golden Record Product Data: What Is a Canonical Product Record?
  3. 03 What Is Fuzzy Matching?
  4. 04 Deterministic vs Probabilistic Matching
  5. 05 Confidence Score in Data Matching: A Practical Guide
  6. 06 What Is Data Provenance?
  7. 07 Write-back: Safely Updating ERP and PIM Systems After AI Validation
  8. 08 What Is Record Linkage?
  9. 09 What Is Schema Mapping?
  10. 10 Product Data Normalization: What It Is and Why It Matters
  11. 11 What Is Master Data Management (MDM)?
  12. 12 What Is a PIM? Product Information Management Explained
  13. 13 What Is Schema Drift?
  14. 14 Product Knowledge Graph: What It Is and Why It Powers AI Search
  15. 15 Supplier Scorecard: How to Grade Vendor Data Quality
  16. 16 SKU vs MPN vs GTIN: What Each Identifier Does and Why All Three Matter
  17. 17 What Is Generative Engine Optimization (GEO)?
  18. 18 Schema.org Product Structured Data: The Complete Guide
  19. 19 What Is Product Content Syndication?
  20. 20 What Is Google's Universal Commerce Protocol (UCP)?
  21. 21 What Is GDSN? The Global Data Synchronisation Network Explained
  22. 22 What Is a Data Pool? GS1, GDSN, and Synchronized Product Data
  23. 23 What Is Unit of Measure (UOM) in Product Data?
  24. 24 GTIN vs EAN vs UPC: The Definitive Guide for Product Data Teams
  25. 25 What Is a GLN? Global Location Number Explained
  26. 26 ECLASS IRDI Format: Structure, Segments, and Why It Matters
  27. 27 ETIM in BMEcat: Structured Product Classification for Technical Catalogs
  28. 28 UNECE Rec 20 Unit Codes Explained
  29. 29 What is item master data? Fields, owners, and failure modes
  30. 30 What Is a CAS Number?
  31. 31 SVHC Candidate List: What It Is and Why Product Data Teams Track It
  32. 32 What Is RAL Classic? The Color Standard for Product Catalogs
  33. 33 HS Codes and Country of Origin in Product Data
  34. 34 IP Rating Explained (IP54, IP65, IP67)
  35. 35 IP Rating Chart (IEC 60529): What Every Digit Means
  36. 36 IK Rating Explained: The Impact-Resistance Scale for Product Data Teams
  37. 37 How to Read an ATEX Marking
  38. 38 Supplier master vs vendor master: what is the difference?
  39. 39 ATEX Zone Classification: Zones 0-2 and 20-22 Explained
  40. 40 What Is a Digital Product Passport (DPP)?
  41. 41 IEC 60309 Colors and Clock Positions Explained
  42. 42 NEMA Enclosure Types Explained
  43. 43 CENELEC Cable Designation: HD 361 Type Codes Explained
  44. 44 BSP Thread Dimensions: Nominal Sizes, TPI, and Catalog Matching
  45. 45 Is Claro a PIM? What It Does Instead
  46. 46 IES vs LDT Photometric Files
  47. 47 ETIM EC000042: Miniature Circuit Breaker
  48. 48 MAP vs RRP
  49. 49 ETIM EC000141: The Contactor Classification Code Explained
  50. 50 Price Skimming
Comparisons
  1. 01 Fuzzy Matching vs Entity Resolution: Which Does Your Catalog Actually Need?
  2. 02 PIM vs MDM vs DAM: Which System Does What?
  3. 03 Akeneo vs Pimcore: PIM Platform Comparison for Distributors
  4. 04 Salsify vs Syndigo: Which Platform Fits Your Syndication Stack?
  5. 05 SEO vs GEO for Product Catalogs: What Your Data Needs to Win Both
  6. 06 PIM vs DAM: What Each Actually Manages
  7. 07 Build vs Buy Entity Matching: In-House Scripts vs a Matching Platform
  8. 08 GDSN vs Direct Feed: Which Syndication Path Fits Your Catalog?
  9. 09 PIM vs ERP: Why Your ERP Is Not a Product Catalog
  10. 10 Build vs Buy Catalog Infrastructure: A Total-Cost Comparison
  11. 11 CSV vs EDI vs API: How Suppliers Should Send You Data
  12. 12 BMEcat vs GDSN: B2B Catalog Exchange Formats
  13. 13 ETIM vs UNSPSC vs eCl@ss: Which Classification Standard Does Your Catalog Need?
  14. 14 Data Cleansing vs Data Enrichment: Not the Same Job
  15. 15 Product Taxonomy Comparison: ETIM vs UNSPSC vs Google Product Category
  16. 16 Amazon ASIN vs GTIN: Product Identity Across Marketplaces
  17. 17 ECLASS vs ETIM for Distributors: Which Classification Standard Do You Need?
  18. 18 GTIN vs MPN vs SKU: Which Product Identifier Does What?
  19. 19 GLN vs GTIN: Two GS1 Identifiers That Break Catalogs When Mixed
  20. 20 CAS Number vs EC Number: Which Identifier to Store and Why
  21. 21 SVHC vs SCIP vs REACH Annex XVII: Which Obligation Applies to Your SKU?
  22. 22 IP54 vs IP65 vs IP67: Which Ingress Protection Rating Fits Your Product Record?
  23. 23 NEMA vs IP Ratings: Enclosure Ingress Standards Compared
  24. 24 NPT vs BSP vs Metric Threads: Side-by-Side Comparison
  25. 25 ATEX vs IECEx: What Product-Data Teams Need to Know
  26. 26 IK08 vs IK10: Impact Ratings in Product Data
  27. 27 UL vs CE Marking: Certification Data in Product Records
  28. 28 H05VV-F vs H07RN-F: Cable Code Comparison for Accurate Catalog Records
  29. 29 REACH vs RoHS: Which Compliance Data Belongs on the Product Record?
  30. 30 IP68 vs IP69K: Washdown and Submersion Ratings
  31. 31 M8 vs M12 Connectors: Identifying Industrial Sensor Cables
  32. 32 UNSPSC vs HS Codes: Classification vs Customs
  33. 33 AWG vs mm²: Cable Sizing Conversion for Product Records
  34. 34 Datasheet vs SDS: Document Types in Product Enrichment
  35. 35 Material master vs item master vs product master: same thing, three ERPs
  36. 36 MDM vs data quality tools: governance vs execution
  37. 37 Golden record vs canonical record vs master record
  38. 38 PIM vs Spreadsheet: When Does a Catalog Outgrow Excel?
  39. 39 Catalog Data Management Platform vs PIM Add-Ons
  40. 40 One-Time Enrichment vs Continuous Catalog Operations
  41. 41 Multi-domain MDM vs product-only MDM
  42. 42 Akeneo vs Salsify: which PIM fits B2B distribution?
  43. 43 Claro vs Onedot: two approaches to supplier data onboarding
  44. 44 Syndigo vs 1WorldSync: GDSN data pools compared
  45. 45 Plytix vs Akeneo: PIM for mid-market catalogs
  46. 46 Akeneo vs Pimcore vs Plytix: the mid-market PIM shortlist
  47. 47 inriver vs Akeneo: PIM choice for complex product catalogs
  48. 48 Pimcore vs Plytix: flexible platform or focused PIM?
  49. 49 Salsify vs 1WorldSync: syndication platform or data pool?
  50. 50 Contentserv vs Akeneo: enterprise PIM options compared
  51. 51 Riversand vs Akeneo: MDM-first or PIM-first product data?
  52. 52 SAP MDG vs Akeneo: master data governance or PIM?
  53. 53 Stibo Systems vs Akeneo: MDM suite or PIM platform?
  54. 54 Catsy vs Salsify: product content management for suppliers
  55. 55 Sales Layer vs Akeneo: PIM for fast-growing catalogs
  56. 56 Proplanet vs Claro: manual data services or continuous AI operations?
Playbooks
  1. 01 How to Deduplicate a Product Catalog
  2. 02 Match Supplier Catalog to Inventory: A Step-by-Step Playbook
  3. 03 Build a Golden Product Record: Step-by-Step Playbook
  4. 04 Auto-Merge Confidence Threshold: How to Set and Tune It
  5. 05 Find Alternative Suppliers in Your Catalog: A Step-by-Step Playbook
  6. 06 How to Find Functional-Equivalent Products Across Suppliers
  7. 07 PIM Migration Deduplication: Migrate Catalogs Without Duplicates
  8. 08 Onboard a New Supplier Range in 24 Hours
  9. 09 Agentic Commerce Readiness Framework for B2B Catalog Teams
  10. 10 Map Supplier Attributes to Your Schema: A Step-by-Step Playbook
  11. 11 Extract Product Specs From PDFs With Full Traceability
  12. 12 Marketplace Catalog Onboarding Checklist
  13. 13 Supplier Data Scorecard: How to Build and Run One
  14. 14 Catalog Data Drift: How to Detect and Fix It
  15. 15 Standardize AI-Generated Spare Part Short Descriptions
  16. 16 Validate AI Product Data Before Publishing
  17. 17 Make Your Catalog AI-Search Ready: A GEO Playbook
  18. 18 Product Schema Markup at Scale: A Catalog Team Playbook
  19. 19 Fix Google Merchant Feed Errors: A Step-by-Step Validation Playbook
  20. 20 ETIM Classification Workflow for Distributors
  21. 21 Validate ETIM XML Export: A Step-by-Step Playbook
  22. 22 Validate ECLASS in BMEcat: A Step-by-Step Playbook
  23. 23 How to Identify an IEC 60309 Plug From Markings
  24. 24 Identify Thread Diameter and Pitch: A Catalog Enrichment Playbook
  25. 25 How to Extract Safety Data Sheet (SDS) Data for Every SKU
  26. 26 How to Keep Taxonomy and Catalog in Sync as Both Change
  27. 27 How to Group Product Variants Into One Family
  28. 28 How to Merge Overlapping Taxonomies After an Acquisition
  29. 29 How to audit your item master (a 90-minute workflow)
  30. 30 How to Validate SKUs Before They Enter Your Catalog
Articles
  1. 01 Agentic Commerce Runs on Machine-Readable Product Data — and Who Maintains It Is the Open Question
  2. 02 Agentic AI Is Now a Default in Retail — Which Is Exactly Why It Still Needs Humans in the Loop
  3. 03 How Product Matching Actually Works at Scale (and Why LLMs Alone Aren't Enough)
  4. 04 AI-Ready Product Data: Why Agents Can't Read Most Catalogs (and What to Fix)
  5. 05 GEO for Product Data: When AI Replaces the Browser, Your Catalog Is the Storefront
  6. 06 AI Won't Replace Your ERP — It Can Finally Make the Data Inside It Trustworthy
  7. 07 Your Catalog Is the Context AI Uses — Product Metadata Is Now Operational Infrastructure
  8. 08 Bots Now Outnumber Humans Online. The Real Question Is Whether They Can Use Your Catalog.
  9. 09 You Deployed AI Search and Relevance Got Worse — The Catalog Was Never Ready
  10. 10 The Hidden Costs & Opportunities of MRO Inventories
  11. 11 How to Use AI for MRO and Bring Your Factory Into the Future
  12. 12 The Hidden Costs of Manual Marketplace Operations
  13. 13 MRO Spare Parts Intake: The Front Door for Better Factory Data
  14. 14 MRO Sourcing Starts With Better Spare Parts Data
  15. 15 Pricing Errors Are Product Data Errors in Disguise
  16. 16 MRO Category Management Needs Product Data, Not Just Spend Data
Guides
  1. 01 Speed Up Supplier Onboarding: Why It Takes Weeks and How to Cut It to Days
  2. 02 Cost of Manual Supplier Data Entry: What Distributors Actually Lose
  3. 03 Supplier Onboarding Checklist for Distributors
  4. 04 Clear a 5,000-SKU Backlog in 90 Days Without Hiring
  5. 05 Fuzzy Matching at Scale Problems: Why Scripts Break and What to Do Instead
  6. 06 Reconcile Supplier Catalogs: A Practical Guide for Distributors
  7. 07 Catalog Matching Cost Savings: A Distributor's Sourcing Guide
  8. 08 Duplicate SKUs and Pricing Problems: How to Detect, Merge, and Prevent Them
  9. 09 Reversible Product Merge: Deduplicate Your Catalog Without Losing History
  10. 10 Cost of Duplicate Products: The Hidden Margin, Fulfillment, and Analytics Damage
  11. 11 Which Classification Standard Do You Need: ETIM, UNSPSC, or eClass?
  12. 12 Classify an Inherited Catalog: A Practical Workflow
  13. 13 Classification Drift: How to Detect, Measure, and Stop It
  14. 14 Complete Product Record Fields: All 58 You Need to Stay Sellable
  15. 15 AI Enrichment Hallucination: How to Ground Every Attribute in Source Docs
  16. 16 Competitor Price Monitoring Starts With Product Matching
  17. 17 Fill Missing Product Attributes With Provenance
  18. 18 Trust AI-Generated Product Data: A Practical Validation Framework
  19. 19 How to Optimize a Product Taxonomy With Attributes
  20. 20 AI Output Provenance: Why Every AI Enrichment Needs a Source Link
  21. 21 Human in the Loop Data Review for Product Catalogs
  22. 22 ChatGPT Product Recommendations: Why Competitors Appear and You Don't
  23. 23 GEO for Ecommerce Catalogs: Make Your Products Citable by AI Engines
  24. 24 Item master data management: a practical guide for distributors
  25. 25 How AI Shopping Agents Work: Retrieve, Rank, and Verify
  26. 26 Product master data management (PMDM): what it is and when you need it
  27. 27 The MDM data model for product catalogs, explained
  28. 28 Product Data AI Search Visibility: What Your Catalog Needs to Get Cited
  29. 29 Manufacturer Price Update Cost: What Distributors Actually Spend
  30. 30 Supplier master data management: one supplier, one record
  31. 31 Margin Leakage in Supplier Price Files: How to Catch It Before It Ships
  32. 32 Product MDM without an MDM platform
  33. 33 Monitor Competitor Prices Without Drowning in False Alerts
  34. 34 ERP to Ecommerce Data Gap: Bridge 150k SKUs to a Live Storefront
  35. 35 ERP Integration Gaps in Product Data (and How to Close Them)
  36. 36 Manage Multichannel Product Feeds from One Source of Truth
  37. 37 Barcode Errors in Supplier Feeds: A Field Guide to Finding and Fixing Them
  38. 38 The cost of a dirty item master
  39. 39 Catalog Launch Errors: 7 Field-Level Failures That Bounce Feeds
  40. 40 How to Clean Up the Item Master in NetSuite
  41. 41 Vertical SaaS Catalog Data: Why You Inherit the Chaos and How to Stop It
  42. 42 Build vs Buy Catalog Data API: A Platform Team Decision Guide
  43. 43 Master data governance for product data: the lightweight version
  44. 44 SAP Material Master Data: Fixing Duplicates and Missing Attributes
  45. 45 Deterministic Product Enrichment API: Choosing Traceable Over Black-Box
  46. 46 Do I Need a PIM? A Decision Guide for Multi-Supplier Catalog Teams
  47. 47 Keeping the item master clean after ERP go-live
  48. 48 When a PIM Is Overkill: A Sizing Guide for Catalog Teams
  49. 49 Product hierarchy in MDM: families, variants, and where they break
  50. 50 Does a Manufacturer Actually Need a PIM?
  51. 51 MDM implementation for mid-market distributors: what to skip
  52. 52 The 40 item-master fields that actually matter
  53. 53 Why Manufacturers Lose Channel Revenue to Bad Product Data
  54. 54 Your PIM Isn't the Problem — Your Inbound Supplier Data Is
  55. 55 How to Choose a PIM (When You Actually Need One)
  56. 56 Internal master data vs customer-facing product content
  57. 57 MDM ROI: how to build the business case for clean product data
  58. 58 Keeping Product Data in Sync Between Shopify and Your ERP/PIM
  59. 59 Product Data Management for Plumbing Distribution
  60. 60 Wholesale Fastener Product Data: A Distributor's Guide
  61. 61 Product Data Import in Dynamics 365: Avoiding Duplicate Records
  62. 62 SAP Business One + Ecommerce: Closing the Product-Data Gap
  63. 63 How Manufacturers Get Products Onto Grainger Faster