Seasonal Data: The Key to Accurate Workforce Planning and Demand Forecasting

13/09/2026

Nearly half of the operating costs for retail and manufacturing businesses in Vietnam are consumed by temporary staffing. While this figure may seem manageable, it significantly erodes profits when accumulated across peak seasons such as Tet or the tourist season. The issue is not a lack of hiring; it is hiring at the wrong time. Many managers still rely on intuition or fixed payroll structures to plan recruitment. This approach often leads to the misconception that labor costs are static. In reality, they fluctuate with sales cycles and event schedules. Without understanding this rhythm, businesses fall into a cycle of overstaffing in one month and understaffing in the next.

Mistake #1: Ignoring Historical Data When Forecasting Demand

This is the most common error. Many HR departments base their staffing decisions solely on current revenue figures, forgetting that historical data is the true guide. For example, a supermarket chain might notice a 20% revenue increase in December of the previous year. However, they overlook the fact that this year’s holiday events are scheduled two weeks earlier. As a result, they hire enough staff for the actual holiday dates but face a shortage during the preceding period. The consequences include longer customer wait times, diminished experiences, and actual revenue falling short of projections. The fix is simple but requires discipline: build a detailed database of customer traffic, orders, and revenue on a weekly basis for the past three years. Do not just look at the totals; analyze the distribution. With this data, workforce demand forecasting ceases to be a guessing game and becomes a solvable equation. AIVISION has supported several major F&B businesses in Hanoi and Ho Chi Minh City in standardizing these data streams to serve as the foundation for future forecasting models. This step may seem tedious, but it is the bedrock. Without it, any forecasting technology is merely sand on water.

Mistake #2: Confusing Short-Term Fluctuations with Long-Term Trends

This error is more subtle and harder to detect. Many businesses mistake a sudden spike in growth driven by a successful marketing event for a new long-term trend. They hastily hire additional full-time or long-term contract employees. When the event concludes, they face a surplus of staff. At this point, labor costs are no longer just wages; they are the cost of instability. New employees working in an environment with little work quickly become disengaged and leave. High turnover rates further increase recruitment and training costs. Optimizing labor costs does not mean cutting headcount; it means being flexible. You must clearly distinguish between the core workforce and the seasonal support workforce. For the core team, focus on training and retention. For the support team, utilize fast, flexible recruitment channels. Several logistics and retail partners of AIVISION are applying this strategy. They maintain a small group of formally trained permanent employees and mobilize seasonal staff from reputable sources when demand rises. This flexibility significantly reduces financial pressure during low-demand months. Remember, labor costs include more than just wages; they encompass management, training, and legal risks. A well-managed seasonal employee can be more cost-effective than a full-time employee left idle during the off-season.

Mistake #3: Lack of Connection Between HR and Business Departments

In many Vietnamese businesses, the HR and business departments operate like two separate worlds. The business team knows the seasonality, event schedules, and marketing campaigns. However, they fail to share this information with HR in a timely manner. Or, if they do share it, it is in the form of scattered, unstructured emails. As a result, HR is left 'catching mice in the dark.' They do not know exactly when they need staff, how many, or what skills are required. Information delays lead to recruitment delays. By the time staff are needed, the labor market may be scarce, or costs may have risen. To fix this, a synchronized process is essential. Establish regular meetings between the two departments to review event schedules and revenue forecasts. Use shared project management tools to track progress. More importantly, establish a common language. Instead of saying 'we need more people,' say 'we need five experienced cashiers capable of handling high-speed transactions for the next three weeks.' This specificity enables HR to act precisely. It also optimizes labor costs by avoiding hiring for the wrong skills or at the wrong time. I have witnessed a major retail company lose billions of dong because the business department changed a promotion schedule without notifying HR. As a result, they had to pay above-market rates to hire staff urgently within 48 hours. This is a costly lesson. Information is not just power; in workforce management, timely information is money.

Mistake #4: Undervaluing the Power of Real-Time Data

Many businesses believe that workforce demand forecasting only needs to be done once at the beginning of the year. They then keep the plan unchanged until the end of the year. This is a static mindset in a dynamic market. Real-time data holds immense value. For example, if it rains heavily in Ho Chi Minh City today, customer traffic at outdoor stores will decrease, while it will increase at indoor shopping malls. If you have a system to track this data, you can adjust staffing within the same day. Instead of leaving employees idle at outdoor stores, you can redeploy them to the shopping mall. This flexibility optimizes labor costs in real time and improves the customer experience. However, achieving this requires technological support. Traditional HR management systems are not fast enough. You need platforms capable of integrating data from POS, CRM, and even weather data. AIVISION is working with several retail partners in Thailand and the Philippines to deploy similar solutions. As a result, they can adjust staffing on an hourly basis. This is not science fiction; it is ready technology. The question is: is your business ready to invest in it? The trade-off is the initial technology cost. However, the long-term benefits are faster response times and tighter cost control. In a fiercely competitive environment, the ability to respond quickly is a competitive advantage.

Where Can This Go Wrong? And Immediate Actions

To be frank, no forecasting model is perfect. Data can be noisy. Humans can make mistakes. Markets can fluctuate unexpectedly. If you rely too heavily on automated models without human oversight, you may commit basic errors. For example, an algorithm might forecast a need for 100 employees on Tet, but forget that many will request leave to return to their hometowns. In that case, the system will report 'sufficient staff,' but reality will show a shortage. Therefore, humans must remain the decisive factor. Technology is merely a supporting tool. Do not let machines replace your reasoning. Use technology to filter out noise so you can focus on what matters. So, what is a small action you can take this week? Sit down with your business team. Ask them to list all events, marketing campaigns, and expected fluctuations for the next three months. Then, cross-reference this list with your hiring and staffing history. You will immediately see the misalignments. From there, you can adjust your temporary recruitment plans for greater accuracy. This is the first step in shifting from intuition-based to data-driven workforce management. It costs nothing but saves you significant money in the long run. Start with what you have. Do not wait for a perfect AI system. Begin by cleaning and connecting the data you already possess. That is the shortest path to optimizing labor costs and enhancing operational efficiency.

Every company hits this differently, and the hard part is usually the data rather than the model. To pressure-test your case quickly, talk to AIVISION - or first see how we deploy and what we have written before.