Streamlining Tyre Inventory for Car Rental Company’s Vehicle Maintenance
Case Study
Read Full Case Study
The customer required RGIS to provide the following:
The supplier of commercial and industrial textiles needed a solution to accurately update their customer database with correct accurate information.
The supplier of commercial and industrial textiles partnered with RGIS to complete the customer database update project, and RGIS provided the following:
RGIS recommended that the textile supplier provide a list of 250 contacts from their database. That could be contacted and to collect the required information from. RGIS was then able to estimate an average call time and prepare a quote to complete 6,000 calls
The textile supplier wanted the project completed in a six week period. So once average call times were known, RGIS put together a team of three experienced auditors to complete all calls
The textile supplier provided a full list of their customer database in Excel
A script of what to say whilst on the phone was pre-prepared for the team to gather all the information required
The supplier of commercial and industrial textiles found by outsourcing the customer database update project to RGIS, the following results were achieved:
There were 6,146 contact cards
3,169 individual customers were contacted and information updated
724 had no contact details available and 2,253 were duplicate entries
4,569 calls were made (including re-dials for non-answering contacts)
RGIS provided the completed data to the textile supplier in the agreed time frame and they were happy with the results of the project

By partnering with RGIS to deliver a structured customer database update programme, the textile supplier achieved a clean, accurate, and usable contact database within a tight six-week timeframe. RGIS’s disciplined calling approach, clear scripting, and data validation identified outdated, duplicate, and incomplete records while updating key customer information. As a result, the supplier gained a reliable database to support ongoing commercial, finance, and marketing activities, improving the quality and usability of its customer data going forward.