Logile, Inc.

Every workforce management vendor calls their platform "connected" now. The word's lost most of its meaning. Here's what connected actually looks like, on a Tuesday morning, in an actual store: the traffic forecast updates because a promo went live. That update flows straight into the labor model, which adjusts how many hours each department needs. The staffing plan picks up those new numbers instead of running off last month's average. The schedule for next week pulls from the staffing plan–not from a separate availability sheet someone's maintaining in parallel. When the store manager pulls up coverage on the floor, what they see matches what corporate built the plan around. That's it. That's the whole thing. Most "connected" platforms are five tools that share a logo. Real connection means one demand signal driving every downstream decision, with no manual translation between them. The test isn't whether the systems talk to each other. The test is whether the store manager and the corporate planner are looking at the same number when they ask the same question. Most aren't. #WorkforceManagement #LaborPlanning #RetailOperations #StoreOperations #Logile

AI is becoming a bigger part of workforce management, but every retailer is approaching it differently. Some teams are using AI to improve forecasting. Others are focused on scheduling, labor optimization, or operational visibility across stores. Curious to see where the industry is focusing its efforts right now 👇

Workforce management has traditionally been viewed as a collection of separate functions: forecasting, labor planning, scheduling, time and attendance, and execution. But retailers are learning that when these functions operate independently, managers spend more time reacting and less time running great stores. That's why we're excited to share new research from Nucleus Research examining how Logile helps retailers unify workforce management from planning through execution. The findings highlight what happens when labor decisions are connected to real demand: 📈 47% less time spent building and editing schedules 📈 Improved labor alignment and store execution 📈 Higher customer satisfaction scores 📈 Reduced employee turnover The future of workforce management isn't about better scheduling alone. It's about creating a connected, demand-driven operating model in which forecasting, labor planning, scheduling, and execution work together as a single system. Read the research to learn more about how retailers are moving beyond fragmented workforce management and toward connected operations. https://lnkd.in/eVyfx2Zr #RetailTechnology #WorkforceManagement #RetailOperations #RetailAI #LaborPlanning #Logile

We recently asked retail professionals where they spend the most time managing labor. The result? Retail managers spend nearly equal time scheduling, managing changes, communicating with associates, and analyzing performance. The challenge isn't just one labor task; it's coordinating them all. This aligns well with our message that workforce management requires connected planning, not disconnected point solutions. Thanks to everyone who participated in the poll!

In the latest episode of 'The Storefront Science Podcast', Brian Kilcourse discusses why real-time data and cloud-enabled applications are becoming essential for modern retail operations. From workforce management to customer experience, retailers need the right information delivered to the right associate at the exact moment decisions are being made. When store teams operate with delayed or disconnected information, operational friction increases and customer experience suffers.

We asked 500 retail associates whether their store's staffing schedule matches actual customer traffic. Only 36% said yes. So what's happening for the other 64%? Either they're standing around during slow stretches while labor dollars burn, or they're underwater during rushes with nobody coming to help. Both of those scenarios cost money. One costs customers, too. The frustrating part is that the data to fix this already exists. Foot traffic patterns are measurable. Demand signals are available. The disconnect is in whether that data actually makes it into the schedule the associate sees when they clock in. Most of the time, it doesn't. The forecast and the floor are still two different worlds in a lot of stores. Connecting them is the whole point of what we do. #RetailLabor #LaborPlanning #WorkforceManagement #RetailOperations #StoreOperations #Logile

Fresh food operations are becoming one of the most important testing grounds for AI in retail. Why? Because Fresh Operations is where labor complexity shows up fast: 🔷 Demand shifts constantly 🔷 Waste impacts margins 🔷 Labor needs change throughout the day 🔷 Execution gaps directly affect the customer experience That’s why more retailers are turning to AI, automation, and connected operational systems to improve forecasting, workforce planning, inventory visibility, and in-store execution. The future of Fresh Operations isn’t just automation for the sake of efficiency. It’s creating a more connected, intelligent retail operation that can respond in real time. #RetailAI #FreshOperations #RetailTechnology #WorkforceManagement #LaborAutomation

AI is changing workforce management, but not in the way many people think. The biggest opportunity isn’t replacing people. It’s reducing operational friction: 🔷 Better staffing alignment 🔷 Faster planning adjustments 🔷 Less manual schedule correction 🔷 More accurate labor deployment When workforce planning becomes more intelligent, stores spend less time reacting and more time executing. #AIinRetail #RetailStrategy #RetailOperations #WorkforceOptimization

Retail labor management is rarely just one task. Managers are constantly having to balance forecasting, scheduling, shift coverage, labor budgets, callouts, customer demand, and operational execution all at the same time. And in many stores, that means spending more time reacting than planning. But we want to hear from you! 👇 Vote in the poll

Here's a question we hear a lot from retail ops leaders: “We have a workforce management system. Why are our stores still struggling with coverage?” Nine times out of ten, the answer is the same: the system is doing scheduling in isolation. It doesn't know what the forecast says. It doesn't reflect the labor model. It can't see the staffing plan. So it fills shifts based on availability and rules, not based on what the store actually needs. Scheduling is the last mile. If everything upstream is disconnected, the schedule can't save you. #RetailTech #StoreOperations #WorkforceManagement #LaborPlanning #Logile