Resources
At RELEX, we’ve accumulated a great deal of retail expertise from among the ranks of our more than 800 retail planning specialists. Pick our brains by diving into the resources our experts have authored — from blogs and whitepapers to guides, reports, and videos.
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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.
Demand Forecasting in Retail: The Complete Guide
This guide provides a strong foundation for demand forecasting best practices in the retail environment.
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.
Store Closures and Demand Decreases: Learning from the Past to Plan for the Future
Learnings from the past crises are applied to help retailers facing store closures and demand decreases plan for the future after the pandemic.
How RELEX Has Helped Italian Customers Weather the Coronavirus Crisis
Our Italian country director shares his insights on how Italian customers faced the Coronavirus crisis and how RELEX helped them along the way.
The Short-Term Strategy: Managing an Increase in Your Online Orders
While a sudden growth in online sales presents an opportunity to recoup lost in-store sales, it also poses a significant operational and logistical challenge.
Strategies to Address Demand Variation between Essential and Nonessential Goods
RELEX’s best practices for managing demand for essential and nonessential items within a single environment during these unusual demand patterns.
Q&A: Demand Forecasting When Demand Goes Crazy
Winsight Grocery Buisness interviewed our co-founder Michael about how a lean supply chain can recover from sudden demand increases.
Strategies to Meet Coronavirus Demand Increases Despite Inventory Scarcity
Retailers must maintain transparent, proactive relationships with their suppliers if they hope to maintain availability during coronavirus demand increases.
Effectively Managing Demand Increases from the Coronavirus
No system, no matter how advanced, can accurately automate calculations when there’s no historical precedent on which to model forecasting.
Study Highlights Four Grocery Businesses Improving Retail Sustainability
Fresh items attract customers, yet grocers lose over 1,5 percent of revenue to food waste. Waste reduction is not just about sustainability, but it also contributes to a healthier balance sheet.
Make a Difference: Cutting Food Waste and Carbon Footprint through Optimized Forecasting and Replenishment
This study outlines how our four customers have led the charge toward environmentally responsible business practices while significantly improving both operations and cost-effectiveness.
Managing the Intricacies of Fresh Fruits and Vegetables in Grocery Retail
Ultra-fresh products like fruits and vegetables have some unique challenges, but they also comprise one of the largest revenue streams and opportunity centers.
Stochastic Planning for More Resilient and Cost-Effective Supply Chains
Stochastic planning has been presented as a result for tackling uncertainty in supply chains. Our whitepaper explains what it is and when and how to use it.
Machine Learning in the Context of Retail Demand Forecasting
Retail is impacted by many factors, such as weather and cannibalization, that can be taken into account with the help of machine learning.
Mastering Demand Forecasting of Short Lifecycle Products
This white paper shows how accurately forecasting for short lifecycle products is possible through intelligent statistical modeling that uses data from previous product introductions.
Are You Wasting Time and Money on a Poorly Integrated Supply Chain?
16 % of large US grocery retailers still base their distribution center forecasts on historical data on outbound deliveries from these distribution centers. This is akin to driving a car while looking into the rearview...