Machinery Brand Cuts Manual Work 90%+

Organization

A leading heavy machinery brand in UK

Industry

Heavy Machinery / Manufacturing

Services Used

Workflow Automation, Data Integration, Custom Development, Google Sheets API, n8n, JavaScript, SAP Data Integration

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About

This client is a leading heavy machinery brand operating across the UK, with a dealer network feeding orders into SAP.

Every day, the operations team manually cross-referenced order numbers between a single SAP sheet and a sprawling dealer file of 10+ tabs, each laid out differently, just to keep serial numbers, customers, locations, and salesmen's data in sync.

The brief was to replace hours of fragile manual matching with an automated engine that adapts to changing data layouts and never misses an entry.

Challenges

  • The operations team manually cross-referenced order numbers between a single SAP sheet and a dealer file of 10+ tabs every single day
  • Each dealer tab used a different column structure, making any copy-paste workflow error-prone
  • Case mismatches, trailing spaces, and formatting inconsistencies between SAP and dealer data caused missed matches and duplicate entries
  • The entire manual process broke whenever a dealer added a new column mid-cycle, until someone noticed and adjusted

Goals

  • Eliminate hours of daily manual cross-referencing between SAP and dealer spreadsheets
  • Handle inconsistent column layouts across dealer tabs without breaking
  • Catch and resolve data quality issues automatically before matching
  • Stay resilient when a dealer changes their spreadsheet structure mid-cycle
  • Guarantee zero missed serial number entries going forward

Solution/Approach

  • Built a smart sync engine in n8n and JavaScript that reads order numbers from SAP, searches across all dealer tabs with intelligent column mapping, and syncs matched data back automatically
  • Mapped each dealer tab's column positions explicitly in configuration, so the system handles layout variations without breaking
  • Added automatic data normalization to resolve case mismatches, trailing spaces, and formatting inconsistencies before matching, eliminating false negatives
  • Built duplicate-safe write logic that skips serial numbers already present and writes new ones along with customer, location, and salesman data
  • Designed the config-driven structure to absorb layout changes, including a dealer adding a new column mid-project, without breaking the pipeline

Results

  • 90%+ reduction in manual data entry time - Freed the operations team from hours of daily cross-referencing between SAP and dealer spreadsheets
  • 10+ dealer tabs auto-synced daily - Every tab, regardless of its column layout, now feeds into SAP without manual matching
  • Zero missed serial number entries - Automatic data normalization closed the case-mismatch and formatting gaps that used to cause dropped matches
  • Duplicate-safe writes across every sync - Serial numbers already in the system are skipped automatically, with no duplicate entries created
  • Resilient to layout changes - When a dealer added a new column mid-project, the system adapted without breaking, exactly as designed

The bigger win: the fix did not just save hours, it removed the single point of failure a manual process always carries, one dealer changing a spreadsheet no longer means someone has to notice and fix it by hand.

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