Case study: Baby Bunting
Baby Bunting, Australia’s largest nursery retailer, significantly improved availability and reduced inventory value after implementing RELEX.
Pharmacy inventory management: Maintaining availability despite complexity
To be competitive, pharmacies must successfully manage the variable and unique demand for prescription medications.
NRF 2022 Big Ideas Session: JOKR
Learn how JOKR is transforming its retail planning for increased efficiency, reduced inventory, and better product availability.
Case study: Atria
Atria significantly improved their forecast accuracy and stability after implementing RELEX machine learning-based forecasting capabilities.
Case study: DOUGLAS
DOUGLAS, the leading beauty platform in Europe, has significantly improved its forecast accuracy and product availability with RELEX's AI-driven forecasting and replenishment solutions.
Customer voice: How ICA Sweden shares order forecasts with suppliers to improve collaboration, increase availability, and reduce waste
In this customer voice blog, Andreas Persson, Head of Replenishment at ICA Sweden, discusses the excellent results the company has achieved by sharing order forecasts with suppliers.
Customer video: Booths
Hear how leading UK grocery retailer Booths used their online forecasting system to efficiently plan and adapt to ensure great customer service in challenging times.
In the driver’s seat; AutoZone’s journey to demand planning success
Get a behind-the-scenes view into AutoZone’s journey from demand planning through a legacy system to adopting a configurable and flexible retail planning software.
How AI can fight the food waste battle
By relying on AI and machine learning to create highly accurate forecasts, grocery retailers can successfully reduce food waste and spoilage.
Case study: Ametller Origen Group
Ametller Origen significantly increased product availability and reduced fresh spoilage after implementing RELEX.
Machine learning in CPG demand forecasting: Considering retailer data drives results
CPG companies need to leverage retailer data in demand planning and collaborate effectively with their retail partners to attain high forecast accuracy and meet demand.
Retail forward: Turning “adapting to cope” into “adapting to win”
2020 required retailers to prioritize demand over profitability. To successfully move forward, retailers need to find a way back to efficiency and turn “coping” into “winning."
Specialty liquor retail: Managing the beers, wines, and spirits (BWS) category
The BWS category poses several challenges for retailers, including promotional planning, capacity management, and omnichannel replenishment, leading to poor results if not planned for carefully.
DIY forecasting: How HELLWEG conquered inventory optimization
In this webinar, we discuss what DIY supply chain challenges HELLWEG has faced and how they have managed to optimize stock levels while reducing inventory and freeing up capital.
Customer voice: Weathering the pandemic and reducing food waste
In this Customer voice blog, Antti Kurhela, Supply Chain Manager at Wihuri, talks about how this foodservice operator was able to rapidly adjust to changing conditions while still reducing food waste in 2020.
Case study: The Vitamin Shoppe
The Vitamin Shoppe improved their inventory optimization and got more accurate forecasting after implementing RELEX.
Retail sales & operations execution (S&OE): 4 foundational capabilities for managing disruptions
An effective S&OE process ensures retailers meet their sales plans without suffering from poor product availability or costly operational firefighting.
Why reliable forecast automation is key to omnichannel grocery success
Grocery retailers who are implementing an omnichannel strategy should use a transparent supply chain management solution that provides trustworthy, automated forecasts.
Case study: Migros Online
The Swiss online-only supermarket saw significant improvements in their forecast accuracy and promotional campaign outcomes.
Case study: Rossmann
RELEX features enabled Rossmann to increase efficiency, cut back on in-store shelving work, and relieve some of the pressure on logistics while reducing inventory and out-of-stocks.
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.
A pragmatic guide to AI & machine learning
Our expert Josh Mann explains what machine learning is, what kind of challenges it solves, and why many leading retailers are starting their transition toward machine learning-based demand forecasting.
Machine learning in retail demand forecasting
In this webinar, our our data scientists and retail planning experts explain what machine learning is, what kind of challenges it solves, and why so many retailers today are transitioning toward machine learning-based demand forecasting.
The long-term strategy: Transforming operations for sustained online growth
During the coronavirus crisis many businesses saw an increase in online ordering. This trend won't go away once the crisis has passed - people are discovering the convenience of online ordering.