Continuous merchandising for Rawlplug in Castorama and OBI chains
Since 2024, IQFM has been supporting Rawlplug in continuous merchandising service for DIY chains, ensuring proper exposure of a wide product portfolio and high implementation standards at points of sale.
Context of the partnership
Rawlplug operates in a category where a wide and technically diverse portfolio requires a particularly well-organized presence at the point of sale. The brand's products cover many categories – from fixing systems and screws to power tools and accessories – which is why proper exposure organization makes it easier for customers to find the right solution and supports brand visibility on a competitive shelf. The scale of the assortment is also clearly visible at the level of an individual chain – Castorama alone currently presents nearly 100 Rawlplug products just in the plug category. In this project, merchandising is therefore not limited solely to product presence; exposure precision, assortment order, and regular standard control are crucial.
Project goal
Ensuring a consistent, legible, and brand-compliant exposure of Rawlplug products in DIY chains. The goal of the activities is to maintain the proper presence of the wide portfolio on the shelf, react quickly to irregularities, and ensure a repeatable implementation standard across all supported locations.
How we worked
IQFM is responsible for the regular execution and control of Rawlplug merchandising activities in the Castorama and OBI chains.
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Merchandising
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Exposure restructuring
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Audit
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Availability control
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Execution of standards
Measurable outcomes
A continuous working model allows for maintaining control over the exposure of the extensive portfolio and ensuring a repeatable merchandising standard across the entire supported network of points.
of regular merchandising work in stores.
Ongoing verification of product presentation methods.
Uniform operating rules across various locations.
Control of many product categories of the brand.
Regular team work at points of sale allows combining precise merchandising execution with knowledge about the shelf situation, creating the basis for further optimization of activities in the data-driven field marketing model.