Managing Retail Staff Schedules

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  • View profile for Zain Ul Hassan

    Navigating What’s Next | Open to Talk

    83,141 followers

    𝗧𝗼𝗱𝗮𝘆’𝘀 𝘃𝗶𝘀𝗶𝘁 𝘁𝗼 Crumble 𝗿𝗲𝗺𝗶𝗻𝗱𝗲𝗱 𝗺𝗲 𝗼𝗳 𝗺𝘆 foodpanda operations 𝗱𝗮𝘆𝘀… During peak hours at Crumble, the store was jam-packed with customers. It immediately took me back to my Foodpanda experience, where during peak hours we had to process 100–150 orders in just one hour. The interesting part? We didn’t face customer queues inside the store — instead, it was the riders who crowded outside, waiting for their pickups. This kind of chaos taught me some important lessons about 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗵𝗲𝗹𝗽 𝗼𝗳 𝗱𝗮𝘁𝗮. 𝗔𝘁 𝗙𝗼𝗼𝗱𝗽𝗮𝗻𝗱𝗮, 𝘄𝗲 𝗺𝗮𝗻𝗮𝗴𝗲𝗱 𝗶𝘁 𝘁𝗵𝗿𝗼𝘂𝗴𝗵: – 𝗗𝗮𝘁𝗮-𝗱𝗿𝗶𝘃𝗲𝗻 𝘀𝗰𝗵𝗲𝗱𝘂𝗹𝗶𝗻𝗴: We tracked how long it took a picker to pick, a packer to pack, and a rider to pick up. This helped us benchmark productivity per role. – 𝗦𝗵𝗶𝗳𝘁 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: “Super shifts” during peak demand meant we met order targets without overspending on extra staff during slower hours. – 𝗩𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆: We introduced digital order screens showing order numbers for riders — avoiding confusion and wasted time. But still there are on and off days but we have the visibility to track what happens due to all the timestamps and data 𝗪𝗵𝗮𝘁 𝗜 𝗼𝗯𝘀𝗲𝗿𝘃𝗲𝗱 𝗮𝘁 𝗖𝗿𝘂𝗺𝗯𝗹𝗲: – They track orders from the time of placement, but 𝗸𝗲𝘆 𝘁𝗶𝗺𝗲𝘀𝘁𝗮𝗺𝗽𝘀 𝗮𝗿𝗲 𝗺𝗶𝘀𝘀𝗶𝗻𝗴 — like when the order is packed or handed over. – Staff call out orders vocally in a noisy environment, which creates delays. 𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝗰𝗼𝘂𝗹𝗱 𝘀𝘁𝗿𝗲𝗮𝗺𝗹𝗶𝗻𝗲 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗳𝘂𝗿𝘁𝗵𝗲𝗿: – 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗲 𝗼𝗿𝗱𝗲𝗿 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴 𝘁𝗶𝗺𝗲𝘀𝘁𝗮𝗺𝗽𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗰𝘆𝗰𝗹𝗲: from order placed → prepared → packed → handed over. This builds transparency and benchmarking. – Implement 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝗼𝗿𝗱𝗲𝗿 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 screens for customers (like KFC or McDonald’s). It reduces dependency on manual announcements. – Use historic order data to forecast peak-hour demand and align staff rosters accordingly — ensuring the right resources at the right time. – Benchmark productivity per role (e.g., average orders packed per hour) to identify training needs and process gaps. – Separate counters line to maintain discipline Final thought: Peak-hour chaos is common in food businesses — but with the right data, benchmarking, and a few small process tweaks, the experience can become smoother for staff, and customers. It was inspiring to see Crumble’s popularity, and I believe with some structured improvements, their customer experience can reach even greater heights.

  • View profile for Esha Joshi

    Co-Founder & President at Yoodli - AI roleplays for sales training, manager coaching, executive communications training

    18,246 followers

    We recently analyzed our support tickets at Yoodli AI Roleplays, and the results challenged a lot of our assumptions. Our team felt stretched and the instinct was to hire. But first, we asked a very important question: What is actually happening in our support data? At Yoodli: Great support isn’t about zero wait times, it’s about solving customer problems quickly and painlessly. Here’s what we found: 1. Tuesday, not Monday, is the real spike. Ticket volume jumps ~19% on Tuesdays, making it the busiest day of the week. Monday feels worse because of backlog, but the real surge comes after. 2. Support demand follows a global rhythm . Peak volume hits at 10am ET, but there’s a second spike around 7pm ET, driven by international users starting their day. Support isn’t just a 9 - 5 problem. 3. Early-morning demand is real, and growing. ~14% of tickets arrive before the US workday even begins. If you’re only staffed locally, those tickets are aging before anyone sees them. 4. Weekends aren’t quiet. ~13% of tickets come in on weekends. Ignore them, and you’re starting every Monday behind. 5. Growth shows up in support first. We saw a ~38% week-over-week increase in tickets. If you don’t plan for that, your team feels it before your dashboards do. The takeaway: We don’t need more people everywhere. We need the right coverage at the right times. That means: → Staffing for peak hours and global surges → Planning for weekends so Monday isn’t chaos → Treating midweek spikes as a distinct problem If your support team feels underwater, don’t just hire without studying the shape of your demand first. Shoutout to our support team for the incredible work their doing to give our customers a great experience. Alan Camperson, Christian, Dewey.

  • View profile for Manish Gupta

    CFO | Hospitality | Automation and Growth Enthusiast | Author & Educator on a Mission

    11,024 followers

    With turnover rates soaring above 70% and occupancy fluctuating from as low as 𝟯𝟬% 𝘁𝗼 𝗼𝘃𝗲𝗿 𝟵𝟬%, how can we maintain high service quality without breaking the bank? The reality is that many hotels are caught in a tough spot. During busy seasons, we need more hands on deck to ensure our guests receive the top-notch service they expect. Yet, during quieter times, the pressure to cut costs can lead to understaffing, which ultimately impacts guest satisfaction and employee morale. So, what’s the solution? Here are some strategies that can help us handle this complex landscape: 𝟭. 𝗘𝗺𝗯𝗿𝗮𝗰𝗲 𝗙𝗹𝗲𝘅𝗶𝗯𝗹𝗲 𝗦𝘁𝗮𝗳𝗳𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹𝘀: Cross-training employees can be a game-changer! By equipping our staff with multiple skill sets, we can adapt quickly to changing demands without hiring additional full-time employees. Plus, hiring part-time workers during peak seasons allows us to scale up without long-term commitments. 𝟮. 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆: Workforce management software can help us forecast demand based on historical data. This means smarter scheduling and better alignment of staff with occupancy levels. Automated systems can optimize shift assignments in real-time - no more guesswork! 𝟯. 𝗜𝗻𝘃𝗲𝘀𝘁 𝗶𝗻 𝗘𝗺𝗽𝗹𝗼𝘆𝗲𝗲 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Retaining talent is crucial in this industry. Offering training programs not only enhances skills but also fosters loyalty among staff. A positive work culture where employees feel valued and heard can significantly reduce turnover rates. 𝟰. 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗲 𝗧𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝘁𝗹𝘆 𝘄𝗶𝘁𝗵 𝗚𝘂𝗲𝘀𝘁𝘀: Setting realistic expectations is key! By being upfront about potential service limitations during busy periods, we can manage guest satisfaction more effectively. Plus, collecting feedback helps us identify areas for improvement before they become issues. P.S. What strategies have you found effective in balancing staffing needs with budget constraints? How do you ensure service quality during peak and off-peak times?

  • View profile for Anand Ganesh Rao

    Retail Strategy Advisor | Helping Retail Executives Improve Performance Through Better Decisions | Technology Evaluation | Executive Advisory | Ex-Sharaf DG

    6,470 followers

    𝗧𝘄𝗼 𝗱𝗮𝘆𝘀. 𝗦𝗮𝗺𝗲 𝘀𝘁𝗼𝗿𝗲. 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗿𝗲𝘀𝘂𝗹𝘁𝘀. Both days finish at 20% conversion. On Day 1, the manager checks the daily report, shrugs, and moves on. On Day 2, the manager pulls conversion by hour. Now the real story appears: 12–1 pm: 8% 5–6 pm: 32% Same daily conversion. Completely different performance. Same traffic. Same opening hours. Same products. The difference? One thinks in 𝗱𝗮𝘆𝘀. One thinks in 𝗵𝗼𝘂𝗿𝘀. -- 𝗪𝗵𝗮𝘁 𝗿𝗲𝗮𝗹𝗹𝘆 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝗼𝗻 𝘁𝗵𝗲 𝗳𝗹𝗼𝗼𝗿: At lunch, the store is packed. Breaks overlap. Tasks still get done. Customers queue, can’t find help, and walk out empty-handed. In the evening, the store is calmer. Best sellers are on the floor. Fewer visitors, more attention, stronger conversion. -- 𝗧𝗵𝗲 𝗺𝗮𝘁𝗵: Transactions ÷ Visitors × 100 = Hourly Conversion Rate. The formula is simple. The 12–1 pm leak is where the money disappears. -- 𝗧𝗵𝗲 𝗶𝗺𝗽𝗮𝗰𝘁: Manager A staffs evenly all week. Tuesday morning looks like Saturday afternoon. Peak hours arrive under-staffed. Half the week’s sales — concentrated in just 20 hours — are left to chance. Manager B builds the rota around the top 20 hours. Best people on the floor when traffic and intent spike. A small lift in peak-hour conversion = thousands in extra weekly sales. -- 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗴𝗮𝗽 𝗲𝘅𝗶𝘀𝘁𝘀: Most teams look at daily conversion and say, "We did okay." High-performing teams ask, "Which hours made or broke our day?" ❌ Average teams schedule "fairly" across the day. ✅ Great teams schedule strategically into the busiest 20 hours. ❌ Average teams blame traffic: “It was crazy at lunch.” ✅ Great teams fix coverage, queues, and service in those exact hours. ❌ Average teams review yesterday once. ✅ Great teams review yesterday’s weakest hour and change today’s plan. The shift isn't more data. It’s a new habit. Stop asking, "How was the day?" Start asking, "𝗪𝗵𝗶𝗰𝗵 𝗵𝗼𝘂𝗿 𝗹𝗲𝗮𝗸𝗲𝗱 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆?" 📩 𝗧𝗵𝗶𝘀 𝘄𝗲𝗲𝗸’𝘀 𝗙𝗿𝗼𝗻𝘁𝗹𝗶𝗻𝗲 𝗙𝗶𝗿𝘀𝘁 𝗲𝗱𝗶𝘁𝗶𝗼𝗻 𝗰𝗼𝘃𝗲𝗿𝘀:  • The simple formula for Hourly Conversion Rate  • The 20 hours that make or break your week  • How to link hourly conversion to staffing, queues, and CES  • 8 practical ways to lift peak-hour conversion without more traffic Better hours → Better conversion → Better sales → Better careers. 💬 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗿𝗲𝘁𝗮𝗶𝗹 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹𝘀: Tomorrow, will you look at daily conversion or ask which hour cost you the most? 📌 Save this for your next rota or pre-shift huddle. ♻️ Share with a frontline leader who wants to own their peak hours. ➕ Follow Anand Ganesh Rao for retail frameworks that actually work. #RetailLeadership #ConversionRate #StoreOperations #FrontlineFirst

  • View profile for Tarek Moustafa

    Pre Opening Rooms Division & Front Office Manager | Luxury Hospitality Leader | Pre-Opening Marriott International

    33,746 followers

    Maintaining front office team performance during busy times is one of the biggest leadership tests in hospitality. Here’s a structured and proven approach tailored to your kind of operation (e.g., Lapita, Dubai Parks — high volume, family-oriented resort): ⸻ 🧭 1. Lead by Example During Peak Hours • Be visible in the lobby — this boosts morale and guest confidence. • Jump in where needed: check-in support, VIP escort, or queue control. • Keep your tone calm and positive — your energy sets the rhythm of the team. ⸻ 💡 2. Prioritize Smartly and Apply the 80/20 Rule • Focus your best people on the 20% of tasks that affect 80% of guest satisfaction: check-in/check-out, complaint handling, and communication. • Postpone or delegate low-impact admin work until quieter hours. • Empower shift leaders to make fast decisions without waiting for management approval. ⸻ 💬 3. Boost Communication & Real-Time Coordination • Hold 2-minute pre-shift huddles: update occupancy, VIPs, groups, and challenges. • Use clear signals or WhatsApp groups for internal coordination (bell desk, valet, housekeeping, duty manager). • Keep a “live status board” or shared sheet for arrivals, departures, and late check-ins. ⸻ 🧑🤝🧑 4. Motivate & Protect Team Energy • Rotate roles during long shifts (e.g., front desk → lobby host → back office) to reduce burnout. • Recognize efforts instantly — even a quick “thank you” or “great job” in front of guests matters. • Provide short breaks with water/snacks — dehydration and fatigue lower service quality. ⸻ 📈 5. Reinforce Performance Metrics & Incentives • Track upselling, enrollments, guest satisfaction (GSS/NPS) daily and celebrate small wins. • Keep a “Top Performer of the Day” board visible. • Announce weekly rewards (even small tokens like coffee vouchers) to maintain friendly competition. ⸻ 🧰 6. Streamline Processes and Tools • Ensure Opera / PMS queues are cleared regularly. • Use express check-out and mobile keys where possible to ease desk pressure. • Have backup workstations or tablets ready for sudden guest surges. ⸻ 💬 7. Handle Guest Challenges Gracefully • Train team to acknowledge, empathize, and act fast — not to overexplain. • Empower them with service recovery limits (e.g., AED 100 voucher without supervisor) for small complaints. • Maintain strong follow-up between shifts — log all issues properly. ⸻ 🧠 8. Reflect & Debrief After Busy Days • End of day: 5-minute debrief — what went well, what could improve. • Collect quick feedback and adjust next day’s plan (roster, stationing, staffing). • Use patterns (late check-ins, queue time) to build data for better forecasting. ⸻ ❤️ 9. Keep the Spirit High • Celebrate milestones after peak days — even small appreciation notes or team photo moments build loyalty. • Remind everyone: “Busy is good — it means the hotel is winning.”

  • View profile for Eric Miller

    Building rugged tech that WORKS to bring reliability and certainty to operations, even in harsh environments | CEO at JLT Mobile Computers Inc. | Helping field teams increase throughput through rugged technology

    15,306 followers

    Last year, during a client visit, I asked a simple question:   "How do you handle peak periods?"   I was met with silence initially, then a hesitant reply:   "We just ask our employees to work overtime."   By the end of each season, his people were exhausted, errors had doubled...   And any profit they made in the period... shrunk under the weight of overtime pay.   Most companies treat peak season like a surprise, even when it comes every year.   So they scramble. Hire late. Pay overtime.   But to handle the load of peak season, you need to prepare in advance, not put in longer hours.   Here’s how the best operations I’ve seen manage peaks:   → Use data from previous years to forecast and spread workload evenly. → Build relationships with temp staffing agencies 60-90 days in advance, and then pre-train in waves. → Optimize their workflows with zone-based trainings and faster shift transitions. → Communicate constantly with daily briefings and visual KPIs to make sure that there's no confusion.   Peak periods shouldn’t feel like survival mode.   With the right systems in place, they can run just as smoothly as any other day...   without the burnout, and without the overtime.   ♻️ Repost to share this with someone heading into their next big rush... they’ll thank you later.

  • View profile for Dr. Hitesh Patel

    Global Executive | Advisor | Board Member | Airline Industry

    11,501 followers

    Newark Liberty International Airport, like many major transportation hubs, continues to face significant staffing challenges that impact flight operations and the overall passenger experience. To address this, the airport and its airline partners should focus on increasing workforce flexibility and improving scheduling practices. Cross-training employees across compatible roles, such as ground handling and gate operations, can help fill critical gaps during peak travel times. Additionally, leveraging data analytics to forecast staffing needs and absentee trends allows for more proactive planning and resource allocation. Technology also plays a critical role in addressing labor shortages. Expanding the use of self-service kiosks, automating elements of baggage handling, and implementing predictive maintenance systems can reduce the manual burden on staff while increasing efficiency. Imagine a scenario where a surge of holiday travelers arrives and only a limited number of check-in agents are available. If those travelers could quickly process their check-in through kiosks or mobile apps, it could prevent long lines, reduce passenger frustration, and give frontline staff more bandwidth to focus on urgent issues. Small interventions like that can have a significant operational impact. Retention is another key area. Investing in better pay structures, offering more consistent scheduling, and providing clear career development opportunities can help reduce turnover and improve employee satisfaction. For instance, consider a ramp agent who regularly works back-to-back overnight shifts with little rest in between. Introducing a more flexible scheduling platform that lets employees swap or bid for shifts could significantly improve morale and reduce burnout. Supporting staff in this way helps with retention and also directly impacts the quality of service passengers receive. In the short term, the airport may need to reassess and streamline certain services to better align with current staffing levels, much like what some European airports have done. Prioritizing core operations while clearly communicating any temporary changes to passengers can help maintain trust. Ultimately, a combination of operational adjustments, investment in workforce development, and strategic use of technology will be essential for Newark Liberty to build long-term resilience and remain responsive to future challenges. #Newark #Aviation #Airport #Airlines

  • View profile for Dr. Atik Kazi

    Soft Services Manager | Facilities Management Leader | FM Operations, Contract Management & Mobilization | Cleaning Operations | GCC Experience | Driving Service Excellence

    6,132 followers

    🔹 Smart Facility Management Insights – Week 2 🔹 Topic: The Future of Manpower Deployment in Soft Services In Facilities & Soft Services, manpower remains the largest cost driver — yet also the biggest opportunity for efficiency. The traditional approach of fixed staffing is giving way to smart, flexible, and skills-based deployment. 🚀 Key strategies shaping the future: Smart scheduling – aligning staff with peak demand hours instead of fixed shifts. Multi-skilled workforce – training staff to handle cleaning, minor MEP, and support tasks. Manpower-technology balance – integrating automation (robotic cleaners, digital trackers) without compromising the human touch. Performance-based deployment – using KPIs and audits to measure productivity, not just presence. The outcome? 10–20% cost savings while ensuring quality, responsiveness, and client satisfaction. Smart manpower deployment is not about reducing people — it’s about deploying them smarter, with technology and training as enablers. #FacilitiesManagement #SoftServices #ManpowerOptimization #OperationalExcellence #SmartDeployment

  • View profile for Preston Lee

    Founder of The Thirty Percent Rule | 350+ Restaurants Transformed Worldwide | As Seen In Forbes, ABC & FOX | In The Business l Now Building Teams That Make Hospitality Their Competitive Edge

    1,336 followers

    The Ghost Manager You check your schedule and see three managers listed on the floor for a busy Friday night. You walk through the dining room during the 7:00 PM rush, but the floor feels chaotic. Tables are waiting for greets, the pass is backing up, and guests are looking around for help. You finally find your team leads huddled behind the host stand or tucked away in the back office looking at the labor matrix. Here's the damage: You have people on the clock with the title of "Manager," but nobody is actually managing the shift. When your leadership team hides behind administrative tasks or gets stuck standing in one spot during peak hours, they become invisible to the staff and the guests. A title doesn't run a shift; presence does. If your managers aren't actively driving the energy and directing traffic on the floor, your team goes into survival mode and your service standards collapse. Get your leaders out of the shadows in 3 steps: • Step 1: Enforce the "No-Office" Zone. Establish a strict rule: from 30 minutes before doors open until the heavy rush clears, the office is locked. Schedule work, inventory, and emails must be done during off-peak hours. Your leaders need to be physically positioned where the friction happens, not behind a laptop screen when the restaurant is making its money. Step 2: Assign "Impact Stations." Don't just tell your managers to "be on the floor." Give them a specific zone of accountability for the rush. One manager owns the front door and table turns, while the other locks down the expo line to ensure food quality and ticket times. When everyone owns a specific high-traffic zone, nothing slips through the cracks. • Step 3: Mandate the "10-Minute Swarm." Instruct your managers to read the room every hour on the hour. They should do a lap, look for the bottleneck (is the bar slammed? is a server underwater?), and instantly dive in to help that specific station for 10 minutes to break the logjam. Once the station is caught up, they step back and resume managing. The rule: Managers are directors, not spectators. If your leadership team is invisible during the rush, your standards will be too. What is one administrative task your managers are using as an excuse to escape the floor during a busy shift?

  • View profile for Harish Ramachandraiah

    Helping Finance, HR & Supply Chain Leaders Turn Data Chaos into AI-Ready Clarity | Co-Founder & CEO, Dataplatr | Databricks, Snowflake, Google Cloud Partner | 40+ Enterprises Scaled

    6,425 followers

    Today, the wins were subtle, but they hit right where it counts. We noticed a small issue in the call routing...customers were getting stuck in long queues. We fixed it. Just like that, their wait times dropped by 15%. Then, we tackled something bigger: a client’s call center was overwhelmed by peak hours. Instead of adding more agents, we dug into the data and adjusted schedules. No fuss, no extra costs... just smarter planning. The result? A calmer team and happier customers. And when we took a hard look at the numbers, we found a gem: customer satisfaction had actually gone up during the busiest times. A quiet win, but one that made everything clearer. These aren’t the types of wins that make the front page. But they’re the ones that build trust, foster loyalty, and keep everything running smoothly behind the scenes. #callcenteranalytics #dataanalytics #datadriven #customerinsights #kpisthatmatter #operationaldata #realtimemetrics #performance #visibility #customdashboards #actionabledata

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