stocktaking case study

Fast-Fashion Retailer Stocktaking Solution

Case Studies

Contact us

  • Coverage

    National

  • Per unit

    Reporting

  • Checks

    Accuracy

Customer

  • Sector

    Fast-Fashion Retailer Stocktaking Solution

    A leading fast-fashion brand retailer with over 500 stores in the UK and Ireland required the support of RGIS. The retailer has a transactional website which ships to around 66 countries world-wide.

    THE CHALLENGE

    A leading fast-fashion retailer wanted a stocktaking solution that would give extra detail per unit to more accurately analyse the stock, so required RGIS to provide the following:

    • National coverage
    • Stocktake to be completed during working hours, with no disruption to business, staff or customers
    • Reporting that would give extra detail per unit including:
    • SKU
    • Style
    • Colour
    • Size

     

    Why RGIS?

    Retail customers use RGIS for stocktaking to achieve accurate, independent inventory counts without disrupting store operations. This reliable data improves stock availability, reduces shrinkage, and supports better replenishment and sales performance.

    RGIS White Logo

    Our Solutions

    The leading fast-fashion retailer partnered with RGIS to complete the detailed reporting store stocktaking project, and provided the following:

    • Experienced RGIS teams worked closely with stores to confirm scheduling restrictions.

    • Created a tailor-made program for the customer.

    • RGIS maintained regular contact with all store managers.

    • Reviewed both stock in the back room and on the sales floor for preparation.

    • Accuracy checks conducted on all counts.

    Results

    The leading fast-fashion retailer found by outsourcing the detailed reporting store stocktaking project to RGIS the following results were achieved:

    • Improved accuracy and availability in-store, due to the greater level of detail within the reporting.

    • A process was defined to include gift card and vouchers, which reduced shrink numbers.

    • Reliable data gave less stock outs in-store which meant more products were available to customers.

    Conclusion

    By partnering with RGIS to deliver detailed, unit-level store stocktaking, the fast-fashion retailer gained accurate, granular insight into inventory by SKU, style, colour, and size without disrupting trading. RGIS’s tailored approach and close coordination with store teams improved data reliability, reduced shrink, and enhanced on-shelf availability. As a result, the retailer strengthened inventory analysis, improved stock availability, and supported better commercial decision-making across its store network.

    Related Case Studies