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.

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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.

RELEX Mobile Pro

Empower your stores to optimize their fresh forecasting and replenishment operations with RELEX Mobile Pro. Our mobile app focuses on managing the complexities of fresh – improving store efficiency, maximizing sales and profitability while also minimizing waste and spoilage.

Built on the RELEX fresh management knowledge base, RELEX Mobile Pro supports fresh store operators and center store workers, all on one app.

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.

Create accurate demand forecasts

Ensure product freshness

Optimizing end-to-end inventory management for perishable products including fresh produce is essential and one of the most complex categories for retailers. By finding the optimal balance between the risk of stock outs and food waste, retailers can minimize lost sales and markdowns while enhancing sustainability and customer satisfaction.

Maximize your space

Convenience stores with small footprints require retailers to focus on making the most of their existing space to accommodate a diverse range of products. By creating shopper-centric, store or cluster-specific planograms, retailers can dramatically improve customer satisfaction while reducing their manual work.

Boost store efficiency

Providing local store teams with the right tools for better visibility and insights empowers store associates to accomplish their tasks more efficiently, allowing them to focus on serving customers. Automation can help streamline processes, improve accuracy, and ultimately enhance the customer experience.

Impressive results from convenience retailers like you

“RELEX’s machine learning-based forecasting is critical to our ability to accurately forecast our most challenging categories, whether short-shelf life items or those with weather-driven demand. It’s also the bedrock of our plans to drive sustained growth and improve our resiliency in the face of rapidly evolving market conditions.”

Richard Turton
Head of Supply Chain, One Stop

Case study

Case study: One Stop

With RELEX’s machine learning forecast, One Stop has enhanced its daily forecast despite the complex weather-driven demands and increased in-store availability without spoilage corresponding.

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.

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We’ve accumulated a wealth of supply chain & retail expertise from our 1,500+ planning specialists.

Whitepaper

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.

Whitepaper

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.

Guide

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.

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