Convenience retailers
Unified planning for convenience retailers
RELEX improves planning in all functional areas, from forecasting and replenishment to planogramming and promotion planning — ensuring you reap benefits at each step. Small footprints and limited storage space make it critical for convenience retailers to use space efficiently and have the shelves stocked with the right assortment.
Results from our convenience retailer clients
67%
decrease in stockouts
8.5%
increase in ultra-fresh product availability
2pp
margin improvement
49%
increase in like-for-like product sales
RELEX helps create efficient operations and improves short-life products availability
Lack of automation
Relying on time consuming manual processes with poor store data is inefficient and can lead to errors, resulting in increased costs and decreased profitability.
Freshness
Convenience stores carry a wide variety of items with an increased demand for fresh items. It can be challenging to replenish short-life products and balance availability with sales losses and spoilage.
Small store footprint and inventory storage facilities
Having a small footprint and limited storage space makes it crucial to use space in the most efficient way and stock the shelves with the right assortment.
Efficient store operations
Continued inflation and labor challenges, including hiring and retention, add additional pressure to drive efficiency and customer satisfaction at the same time.
Increase profitability and ensure product freshness
RELEX helps convenience retailers increase their profitability, manage a complex assortment and makes the most of the available space through automated and unified retail planning processes.
Impressive results from convenience retailers like you
Case study: One Stop
Leading UK convenience retailer One Stop optimizes macro space to access store space quickly and accurately. Read the case study to learn more.
Case study: Circle K
Circle K has significantly improved the accuracy of their forecasts through their partnership with RELEX, enabling a 10% inventory reduction of tobacco and cigarettes.
Case study: WHSmith
WHSmith uses RELEX’s machine learning to optimize weekday profiles and manage multiple daily deliveries, resulting in decreased spoilage and increased availability.
Case study: Franprix
Franprix, a leading convenience store retailer, significantly improved its operational efficiency and replenishment accuracy after the adoption of RELEX.
Resources you may be interested in
We’ve accumulated a wealth of supply chain & retail expertise from our 1,500+ planning specialists.
Boost sales and profitability through automated, store-specific planogram optimization
With automation, central planning teams can create a high volume of accurate planograms that are adapted to store needs. This will decrease out-of-stocks and overstocks, reduce inventory costs, and improve operational efficiency in stores.
Improve demand forecasting accuracy by factoring in weather impacts
Weather-based forecasting is challenging, but those retailers who can accurately forecast when the weather will affect sales can capitalize on increased sales opportunities and prevent excess stock and costly spoilage.
The complete guide to machine learning in retail demand forecasting
Retailers generate enormous amounts of data, meaning that machine learning technology quickly proves its value.
Ready to transform your supply chain & retail planning?
We’re happy to discuss your business needs and share how our market-leading, unified platform can help you drive profitable growth across your sales and distribution channels.