Managing a Large-Scale Pallet Count Across Multiple Distribution Centres
Case Study
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Checked
20%
Accuracy
99%
Countries
Multiple
Advisory, Lending and Investment Company
Historical
The advisory, lending and investment company needed to count store stock on a global scale to facilitate a retailer going into administration, so required RGIS to provide the following:
Customers use RGIS for global stock counts to achieve consistent, accurate inventory data across multiple countries and locations. This standardised, independently verified approach supports reliable valuation, governance, and confident decision-making at a global level.
The advisory, lending and investment company partnered with RGIS to complete the global administration stock count project, and provided the following:
Scheduled experienced RGIS auditors to attend from different countries for each of the relevant stores
Ticketed all areas in store, placed one area ticket for each four-foot section. Rail, four-way, rounder, table top, box, shelf, drawer and stack
20% of the zones were checked by the store manager or area manager
Once the count was completed, RGIS provided a variance report for the store manager to review
The advisory, lending and investment company found by outsourcing the global administration stock count project to RGIS, the following results were achieved:
Reporting was received from all stores globally in the same format, and collated
Over 99% accuracy was achieved
The customer was able to value the sites correctly, and allowed them to have certainty in the accuracy of the complete global stock file

By partnering with RGIS to deliver a coordinated global stock count, the advisory, lending and investment company achieved accurate, consistent visibility of inventory across all stores during a critical administration process. RGIS’s experienced international teams, rigorous verification controls, and standardised reporting ensured accuracy levels exceeding 99% and enabled reliable valuation of each site. As a result, the customer gained confidence in the integrity of the global stock file and the data required to support informed financial and administrative decisions.