Demand forecasting in the supply chain is like checking the weather before a road trip: you can’t control what’s coming, but you can decide how to prepare for it.
Yet, despite these useful predictive tools, many South African small and medium-sized enterprise (SME) owners still make stock and procurement decisions based on their intuition.
If you’re one of them, you may have experienced certain frustrations, including:
- Over-ordering before a slow season and watching capital sit on your shelves for weeks, gathering dust
- Running out of your best-selling product during peak demand and losing sales you’ll never recover
- Misjudging procurement because unexpected incidents suddenly changed the numbers
On their own, these mishaps are manageable, but together they amount to a competitive disadvantage when compared to your rivals with better demand forecasting methods.
This guide breaks down exactly what you need to know to improve your demand forecasting – including how demand forecasting works for SMEs at your stage and how to start without a data team or expensive software.
Demand forecasting is great preparation for the future, and so is Lula’s flexible funding. Apply online in minutes and get access to on-tap capital.
What is Demand Forecasting in Supply Chain Management?
Demand forecasting in supply chain management predicts how much of a product your customers will want and when. It uses historical data, market trends and other real-world variables to help you decide what to order, how much to stock and when to move it.
Forecasting is the crucial first step in the demand planning process. It indicates what’s likely to happen, and then demand planning guides your response to that.
Get the forecast right, and your inventory levels and procurement timing should fall into place correctly, allowing you to enjoy a smooth flow of working capital.
Get it wrong, and you risk the dreaded ‘feast or famine’ cycle, where you bounce between having too much stock cluttering your shelves and having to explain to customers why you’re out of supplies.
Accurate demand forecasting in the supply chain is closely related to your finances and can be used as a financial tool.
Done well, it gives you the data-driven foundation to plan with confidence and make smarter use of every rand in your business. It helps you free up growth capital that would otherwise be locked in excess inventory and helps direct it to where it can actually work for you.
You can also avoid those stockouts that don’t just lose you sales, but potentially stop your customers from returning.
Why Demand Forecasting Matters More in South Africa
Like any market in the world, South Africa is vulnerable to supply chain disruptions, yet businesses here must contend with specific challenges that make accurate forecasting difficult.
Hold-ups in supply delivery make it hard to know exactly when stock will arrive, or even whether your original order will be fulfilled. As recently as 2023, the World Bank ranked South African ports among the worst in the world, and delays at Durban and Cape Town ports are still common, despite small signs of improvement.
Small businesses often over-order to avoid stockouts caused by these delays, which means they trap cash in inventory and often also incur unexpected expenses.
“A small business might wait six months for stock,” says Dumisa Jonas, Senior Relationship Manager at Lula. “If three containers arrive at once due to shipping bottlenecks, they face an immediate, unplanned demand for liquidity to cover customs duties, VAT and clearing charges,” he adds.
Rand volatility can also complicate matters. Despite a positive recent performance, the rand is still unpredictable.
This means import costs can change overnight, so small businesses often need to pay the full purchase amount when they order, rather than using credit.
Financial admin increases as a result.
Finally, there’s the persistent threat of load shedding. Despite recently reaching 300 days of continuous power, the country still operates in the shadow of potential outages, and this is something small businesses must account for.
In this environment, demand forecasting helps you build a buffer between your business and the next disruption. It’s also an important part of working out how to grow your business. As you begin to see your trading patterns clearly, you begin to understand not just what your business has done, but what it’s capable of doing next.
What are the Methods of Demand Forecasting?
As a small business owner, you have several demand forecasting options open to you, but not all of them will be well-suited to your business. The right approach will depend on the industry you operate in, the type of data you have available and what growth stage you’re at.
At its broadest, we can break these down into two categories: qualitative and quantitative forecasting. Both categories have short-term and long-term methods.
As an SME, you’ll probably need a mix of short-term forecasting for day-to-day replenishment decisions, and long-term forecasting when planning something bigger, like expanding into a new location or franchise.
Here’s an overview of the most useful methods.
Qualitative forecasting
Qualitative methods collate the human judgment available in your field, in terms of market research and expert opinions, and use it to predict what’s on the horizon. If your historical sales data is limited or unreliable, this can help dig you out of a hole.
These insights are most useful when you’re expanding into a new area or launching a new product because they fill the data gap that quantitative methods can’t.
Common qualitative approaches include the Delphi Method, which is where a panel of experts (i.e. you and your senior staff) form a consensus forecast through structured rounds of market research. This typically involves four steps, where you define the most relevant questions and how you’re going to collect, analyse and summarise them to reach your conclusion.
Sales team forecasting is another qualitative technique. This is where you make a prediction based on your staff’s view of customer needs and emerging trends in demand. These methods are better suited to longer-term, strategic forecasting, rather than day-to-day operational decisions.
The right qualitative tools can help businesses avoid costly assumptions, particularly when expanding. “Many SMEs assume that demand in a new location will automatically mirror the original store,” says Jonas. “Success at one site does not account for different demographics, LSM levels or local competition.”
Accurate qualitative research helps SMEs avoid this mistake and expand by grounding every location decision in local intelligence.
Quantitative forecasting
Quantitative forecasting is built on historical sales data and statistical models that help identify patterns and project future demand. If you’re already an established SME, you should focus here first.
Time series analysis looks at your past sales to identify recurring patterns, help you establish a predictable cycle and provide a cash flow projection. It borrows several techniques used by investors, such as using moving averages to smooth out short-term fluctuations. SMEs with at least one year of sales data should start here.
If you have a good grip on external variables like price, economic indicators and local events, regression analysis helps you link these to potential customer demand. In a South African market that’s regularly affected by outside forces, this can be extremely valuable.
Finally, AI-powered forecasting is a growing forecasting technique that uses machine learning to process large data sets. Once the preserve of large corporates, it’s becoming increasingly accessible to growing SMEs through affordable forecasting tools and software.
A Real-World Example of Demand Forecasting for an SA Business
Demand forecasting in supply chain management might seem straightforward in theory, but can be more complicated in practice.
To make this clearer, let’s look at the example of the Cape Town-based food distributor Cape Harvest Foods, which supplies independent restaurants and catering companies.
The Cape Harvest team saw that demand spiked every December, yet dropped sharply once the new year started. This left them scrambling for stock to cover the festive rush, only to be left sitting on it come January.
Demand forecasting helped them change this. They pulled two years of historical sales data from their accounting software and used it to map their demand cycle month to month.
They fed external variables (public holiday dates and the rand’s effect on their imported product costs) and consulted their sales team, who flagged that several key clients had mentioned expanded festive season events that year.
Out of this came a data-driven procurement plan that eliminated emotional thinking.
With it, they pre-ordered peak-season stock six weeks in advance (before suppliers hit capacity) and negotiated better pricing on volume. They scaled back January orders by 30%, which freed up working capital at just the right time.
Many SME owners mistakenly believe they need to buy expensive software to produce this type of plan, but all the Cape Harvest team needed was a year’s worth of sales data, a spreadsheet and calm heads to look at the figures before making decisions.
That’s demand forecasting in practice, and it’s well within reach for any SME at any stage of their life cycle.
How to Start Demand Forecasting as a Small Business (No Data Team Required)
Advanced analytics and artificial intelligence automation are useful tools, but you don’t need them to get your demand forecasting off the ground. You probably already have all the data sources you need.
Here’s a practical forecasting process you can start this week:
1. Pull your historical sales data
If you have 12 months of sales data, preferably 24 months, available from your accounting software, POS system or bank statements, you already have enough data points. You can make these more accurate by breaking them down by SKU.
2. Look for patterns
With the figures in front of you, you’ll be able to identify demand trends and seasonality. Consumer behaviour often shifts around school terms, public holidays and paydays. You might also see anomalies, such as a supplier disruption, which will skew your averages if not removed.
3. Factor in your lead time
Map out how long it takes for stock to arrive once ordered. This is especially critical given South Africa’s port delays. Build that buffer into every forecast.
4. Track your metrics
The more you measure your forecast accuracy, the better it becomes. This means going over your forecasting models monthly and comparing predicted demand against actual sales. You can use this information to adjust your forecasting approach accordingly.
5. Start with quantitative methods
A well-maintained spreadsheet using basic quantitative methods will outperform gut feel every time.
If you feel your operations need more sophisticated forecasting tools, factor these in as potential investments.
Act on Your Demand Forecasts with Fast, Flexible Funding
A demand forecast is only as valuable as your ability to act on it.
For many South African businesses, this is where the growth process often breaks down: imagine your sales forecasting tells you a spike in demand is coming, but you don’t have the cash available to capitalise on it.
This is where fast, flexible business funding changes the picture. Instead of missing the purchase window or over-extending your cash reserves, you get a ready source of funds to move right away.
Lula’s Cash Flow Facility is built for exactly this kind of move. Quick applications and approvals mean you can get your own facility up and running within 24 hours. Once repaid, you get immediate access to capital with no need to reapply (subject to an affordability assessment).
This means you can:
- Meet demand whenever it spikes by unlocking the working capital to buy stock
- Avoid the need to overstock ‘just in case’
- Keep customer satisfaction high, even in the face of supply chain disruptions
You may find that your forecasting opens up the chance to expand into a new location or open a new product range – in which case, our Fixed-Term Funding gives you a clear, predictable repayment structure to match your forecasting horizon.
The goal of demand forecasting is to inform decisions. The right funding means you can actually make them.
Don’t let a lack of funding cause you to miss out on opportunities. Apply today.
