Leveraging machine learning in your retail demand forecasting
In this webinar, RELEX experts share how machine learning can help retailers solve their most critical demand forecasting challenges.
Drug inventory management (Part 2): Handling substitutions and generic medications
To ensure they can meet ongoing demand without pause and offer exceptional customer service, pharmacies need a system that can automatically adjust replenishment orders to account for substitutions.
Customer video: Baby Bunting
Sarah Serle, General Manager of Merchandise, and Matt Rodda, CIO for Baby Bunting, share the challenges they faced with siloed and manual ordering processes, and the positive benefits they have seen since implementation.
Drug inventory management (Part 1): Ensuring availability to stay competitive
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.
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.
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.
Automated and adaptive supply chain planning: Big Lots’ successful forecasting and replenishment transformation
In this 12-minute video, Johan Hoover from Big Lots, explains how RELEX’s demand and supply planning has enabled them to become more efficient and adaptive in a highly turbulent retail market.
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.
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.
Hurricane management: Best practices for DIY retailers after unpredictable events
It is nearly impossible to fully automate processes for exceptional demand periods like those caused by hurricanes. Instead, planners must take a hands-on, localized approach to hurricane management.
Webinar recap: Machine learning in retail demand forecasting
Retailers need to understand that machine learning is more than just a buzzy term – it is a tool that can be used to drive specific business benefits.
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 Complete Guide to Machine Learning in Retail Demand Forecasting
Retailers generate enormous amounts of data, meaning that machine learning technology quickly proves its value.
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.