✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12
Catering companies manage data across event booking platforms, CRM systems, vendor lists, and kitchen management software, each creating its own records for clients, menus, and events. The same corporate client might appear as 'ABC Technologies' in the booking system, 'ABC Tech Inc' in the invoice records, and 'A.B.C. Technologies' in the event planner's spreadsheet. dataclean.to matches catering records by client name, contact details, event dates, and menu item descriptions to eliminate redundant entries across all your data sources.
The Problem
Duplicate records in catering data lead to operational mistakes that directly affect events. A client with two profiles might receive two separate invoices for the same event or have their dietary requirements recorded in one profile but missing from the other, resulting in an incomplete prep list. Menu item duplicates cause kitchen confusion when the same dish appears under different names across platforms, leading to double-preparation or ingredient over-ordering. Event records with duplicates make capacity planning unreliable because the same booking might be counted twice in the calendar. W3C Data on the Web Best Practices
How to Fix It
1
Export catering data from all systems
Pull client records, menu items, and event bookings from your CRM, booking platform, accounting software, and kitchen management tools. Include client name, contact info, event dates, menu items, and dietary notes.
2
Upload the combined data to dataclean.to
Upload the CSV. The tool normalizes business names, matches contact information, and compares event details to identify duplicate client profiles, menu entries, and booking records.
3
Review flagged duplicates
Inspect clusters of records that appear to represent the same client, menu item, or event. The tool shows differences between entries such as name variations, conflicting contact details, and menu items with similar but not identical descriptions.
4
Merge into unified records
Consolidate confirmed duplicates. Client profiles are merged with all event history preserved. Menu items are unified under a single name with the most detailed ingredient and allergen information retained.
5
Export the clean dataset
Download the deduplicated CSV and update your catering management systems. Each client has one profile with their complete event history, preferences, and dietary requirements in a single record.
Frequently Asked Questions
How does the tool handle recurring clients who book multiple events?
Recurring clients are unified into one profile regardless of how many events they have booked. Each event remains as a separate record linked to the consolidated client profile, preserving the full booking history.
Can it merge menu items that are the same dish with different names?
The tool flags menu items with highly similar descriptions or shared ingredient lists as potential duplicates. Items like 'Grilled Chicken Skewers' and 'Chicken Skewers (Grilled)' are clustered for your review.
What about catering data that includes both corporate and wedding clients?
The tool processes all client types together. Corporate clients are matched by company name and contact person, while private clients like wedding couples are matched by individual names, phone numbers, and email addresses.
Example: Input → Output
name
address
city
phone
website
City Plumbing Co
789 Elm St
Denver CO
(720) 555-0200
cityplumbing.com
city plumbing co
789 elm st
denver
co
(720)555-0200
www.cityplumbing.com
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.