Retail Transformation From Data to Systems Thinking

Retail Transformation: Shifting From Data Analysis to Systems Thinking

Julie Bushee, Retail Labor Manager

In the ideal retail situation, labor analysts can focus their attention on data interpretation, allowing their information technology to do heavy data mining. Alas, this is rare. Many labor teams require analysts to gather and shape data prior to analysis. In the worst-case scenarios, retailers have Read more

How Many Cashiers - Scheduling

How Many Cashiers Does it Take? Improved Schedule Accuracy Produces Key Business Benefits

When people ask me what I do for a living, my response is that I work in the workforce management software industry, generating store-level forecasts and schedules for enterprise retailers. After the usual blank stares, I try to explain…

Measure High-Potential Scheduling

How Do You Measure and Maximize a High-Potential Schedule?

Scheduling effectiveness is an effort retailers take to maximize their schedules’ potential over time. Each retailer can do this differently. Consider these four metrics when building a scheduling effectiveness tool.

Transform From Position to Task-Based Scheduling

Shifting Mindsets From Position Level to Labor Task Scheduling

Scheduling can be simple to understand; however, scheduling optimization grows in complexity with every variable. Read about one supermarket manager’s transformative transition from position-based to task-based scheduling.

Unified Commerce Part Two

Unified Commerce, What Have You Done? Part Two

Part One covered unified commerce’s impact, Industry 4.0’s onset, traditional retailer adaptations and long-term solutions. We referenced data mining, forecasting, scheduling and mobile solutions as opportunities for brick-and-mortar institutions to optimize their workforce while preserving customer service. In Part Two, we focus in on forecasting and scheduling.

Moving From Job-Based to Task-Based Scheduling

Moving From Job-Based to Task-Based Scheduling: Understanding the Basics

If you followed recent blog posts by Logile, specifically the “Scheduling Insights” series, you learned about the four most common approaches to scheduling. In this post, we focus on using different types of available data to drive scheduling in a variety of ways.

Scheduling Insights

Scheduling Insights: Service and Production Scheduling

So far, we have covered two of the four most common approaches to scheduling. The first was service-based scheduling, which is also known as interval-based scheduling. We discussed supermarket cashiers and baggers …

Scheduling Insights

Scheduling Insights: Non-Service or Production Scheduling

Cashiering at a supermarket is a great example. There is no forgiveness for being over in the morning and being short-staffed in the evening. Correct placement at the interval level is critical…

Scheduling Insights

Scheduling Insights: Service or Interval-Based Scheduling

It’s an understatement to call this type of scheduling the most commonly understood and practiced type of scheduling. The whole idea of retail labor scheduling was built around scheduling jobs like Cashiering…

Scheduling Insights

Scheduling Insights: Four Basic Types of Scheduling

Given that you now have a good foundation in the terms and process steps from forecasting to demand planning to staff planning to scheduling, it’s a good time to discuss different types of scheduling…