In short: Retail staff scheduling with footfall data means building rosters around when shoppers actually visit, not around fixed shifts or last year’s sales. A people counter shows traffic by the hour. You then set a footfall-to-staff ratio, plan shifts to match forecast peaks and review the results each week. The aim is fewer missed sales and less wasted labour.
Retail staff scheduling is one of the largest costs a store manager controls, yet many rosters are still built on habit. The same shifts repeat every week, whether the store is busy or quiet. As a result, some hours have too few people on the floor, while others have too many. In this guide, Integrated Retail, an authorised FootfallCam reseller serving Singapore, Malaysia, Thailand and Indonesia, explains how footfall data can turn the weekly roster into a forecast-led plan.
What is retail staff scheduling?
Retail staff scheduling is the process of deciding who works in a store, on which days and during which hours. A good schedule covers every task, from serving customers to restocking shelves, within a set labour budget.
Most stores use one of three approaches. The table below compares them.
| Approach | What it is based on | Main weakness |
| Fixed roster | The same shifts every week | Ignores changes in traffic, so the store is often under- or overstaffed |
| Sales-based roster | Past sales by day or hour | Shows only the demand you served, not the sales you missed |
| Footfall-based roster | Visitor counts by hour, plus a forecast | Needs reliable people counting data and a regular review |
FootfallCam’s Staff Roster Planner App page explains the problem with the first approach. It says fixed rosters can lead to understaffing, which hurts the customer experience, or overstaffing, which wastes resources.
Why does staff scheduling matter more in Southeast Asia now?
Simply put, every hour on the roster is getting more expensive. According to Aon’s 2026 Salary Increase and Turnover Study, published in September 2026, salaries across Southeast Asia are projected to rise by an average of 5.2% in 2027. The study covered more than 1,200 businesses in six countries.
| Market | Projected salary increase, 2027 (Aon, 2026) |
| Singapore | 4.1% |
| Malaysia | 4.8% |
| Thailand | 4.6% |
| Indonesia | 5.5% |
In Singapore, Aon expects retail and hospitality to see the highest increase of any industry, at 4.8%.
Wage floors are rising too. Under Singapore’s Retail Progressive Wage Model, the starting basic monthly wage for retail assistants and cashiers rose to S$2,435 from 1 September 2026, according to the Ministry of Manpower (MOM), 2025. Meanwhile, Malaysia’s national minimum wage rose to RM1,700 a month from 1 February 2025, as Malay Mail reported in 2025. When each hour costs more, it matters more where that hour goes.
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Do you know which hours actually need the staff?
A roster built on habit repeats the same gaps every week. With wages rising across the region, each misplaced hour costs more than it did last year. We’ll show you what hourly footfall data changes.
How does footfall data improve retail staff scheduling?
A people counter records how many people enter the store, hour by hour. After a few weeks, clear patterns appear: quiet mornings, a lunchtime rise, an evening peak and busier weekends.
FootfallCam’s Staff Roster Planner App builds on these patterns. According to FootfallCam, it uses historical footfall and AI models to recommend staffing levels. It can also draw on other data, such as weather and holidays. FootfallCam says the app helps managers “plan your staff roster according to the anticipated shoppers in the next 4 weeks”.
The key measure is the footfall-to-staff ratio. This is the number of visitors per member of staff on the floor in a given hour. FootfallCam calls the ideal level the “golden ratio” of footfall-to-staff.
Here is a simple example, with illustrative figures only. Suppose your data shows that conversion holds up when each person on the floor handles about 40 visitors an hour. If 200 visitors are forecast for Saturday at 3pm, you would plan five people for that hour. On a quiet Tuesday morning, by contrast, two may be enough.
How do you build a footfall-based staff schedule?
FootfallCam describes four steps on its Staff Roster Planner App page. Here they are in plain terms.
1. Set up your staff data. List every employee, their permitted working hours and their wage cost.
2. Find your footfall-to-staff ratio. Compare the hours when conversion was strong with how many staff were on duty.
3. Plan with a forecast. Use the footfall forecast for the coming weeks to draft shifts. FootfallCam notes that users can also make manual adjustments “for specific functions or time periods”, such as deliveries or stocktakes.
4. Review staffing levels. Each week, look for understaffing, which can mean missed sales, and overstaffing, which raises labour costs.
In addition, plan early for the region’s busiest dates. Chinese New Year, Hari Raya Aidilfitri, Songkran, Deepavali and the 11.11 and 12.12 sales all change shopper traffic. Last year’s footfall for the same period is a useful starting point. Finally, check every roster against local working-hours rules in each market.
Matching staff to forecast peaks helps avoid missed sales.
What is unmet demand, and why does it matter for scheduling?
Sales data has a blind spot. In a 2025 workshop post on its Staff Planning App, FootfallCam put it simply: “Sales figures only show fulfilled demand.”
Unmet demand means the shoppers who wanted to buy but left because no one was free to serve them. A sales-based roster cannot see these people, so it keeps repeating the same gaps. Footfall data, on the other hand, shows that they came in.
In the same post, FootfallCam describes a full cycle of Predict, Plan, Execute and Review. It also describes post-operation reviews that “quantify unmet demand and missed sales”. In other words, the review step is where a roster learns from last week.
How can you test whether footfall-based scheduling works?
Start small and compare. FootfallCam’s 2025 workshop post suggests a structured A/B test:
– run five stores with the new staff planning model;
– run five stores the old way;
– compare sales uplift, unmet demand and staffing efficiency;
– then swap the two groups and compare again.
For context, FootfallCam reports a case study on its Staff Roster Planner App page. It says footfall-based roster planning “resulted in a 12% increase in sales conversion” for a pharmaceutical retailer in the Asia-Pacific region with more than 15,000 stores globally. This is a vendor-reported figure. It has not been independently verified, and it is not specific to Southeast Asia. Your own results will depend on your stores and your starting point. To track them, measure your store conversion rate before and after the change.
How can Integrated Retail help?
Integrated Retail supplies, installs and supports FootfallCam people counting for retailers, malls and restaurants in Singapore, Malaysia, Thailand and Indonesia. We can help you count visitors accurately, connect footfall to your sales data and set up a staff scheduling process your managers will use. Contact Integrated Retail to talk about retail staff scheduling with footfall data.
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Start with one store and your busiest week
Tell us your busiest site. We’ll show you hourly traffic against your current roster, and where the gaps between staffing and demand actually sit — including the hours you may be losing sales without knowing it.
Frequently asked questions
What is a footfall-to-staff ratio?
It is the number of visitors per member of staff on the shop floor in a given period, usually an hour. Retailers use it to decide how many people to roster when traffic rises or falls.
How far ahead can you plan a roster with footfall data?
FootfallCam says its Staff Roster Planner App helps managers plan rosters around the shoppers expected in the next four weeks, based on historical footfall and other data such as weather and holidays.
Do I need a people counter for footfall-based scheduling?
Yes. You need reliable hourly visitor counts. FootfallCam lists footfall data captured by FootfallCam people counters as the data its Staff Roster Planner App needs. Staff, salary, working-hours and store information are optional extras.
Does footfall-based scheduling replace the store manager?
No. The forecast gives a starting point, and managers can still adjust the roster for specific tasks or time periods. Their local knowledge remains essential.