Sales forecasting is a powerful way to improve decision-making and make smarter choices as a business. But the reality is, many organisations don’t get it right.
Accurate sales forecasts rely on astute insights driven from robust, holistic data. If your business has struggled to accurately predict future sales revenue in the past, our guide could help you get it right in the future.
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A sales forecast is an estimate of what a company will sell in a week, month, quarter or year. It’s used to predict future revenue, accounting for the number of units an individual, team or company is likely to sell over a set period.
Sales forecasting offers many benefits when leveraged as part of a broader business strategy. At all levels and across all functions within a business, forecasting can facilitate shrewd decision-making, whether that’s setting goals and budgets, prospecting for new leads, deciding on the best time to hire new staff, or effective stock management to help maximise cashflow.
Accurate sales forecasting is a projection of where a company will stand in the future. And that’s important, not only for business continuity and growth, but for cultivating credibility, trust and advocacy with key stakeholders – be it partners, investors, clients or customers.
Let’s take a look at some of the reasons why sales forecasting matters:
Many internal and external factors can impact the accuracy of your sales forecasts. You’ll need to account for all sorts of influences when predicting sales activity, including:
This isn’t an exhaustive list of factors that can affect sales forecasting, but it does provide a steer for the types of influences that you’ll need to factor into your predictions.
Sales forecasting isn’t rocket science, but it does require a methodical approach to guarantee accuracy. Here, we’ll demonstrate how to make accurate sales predictions in five easy-to-follow steps.
The first step to accurate sales forecasting is to look not to the future, but the past. By examining sales data over the past 12 months, you’ll glean insights that you can use as the basis of your future sales predictions, noting things like volumes, trends, and seasonality changes that caused peaks and troughs in demand.
When exploring historic sales data, be mindful of your ‘sales run rate’ – the number of projected sales for a particular period. For example, sales data may reveal a large disparity between quarterly sales figures, affecting the overall run rate; you’ll need to factor this into your forecasts for the future.
While historic sales data provides a clear view of when and where sales typically happen over a year, it doesn’t guarantee the same sales figures for the future. Depending on a plethora of external and internal influences, next year’s sales could be up or down – so how do you accurately predict future revenue?
Start by taking each influence in turn and assess how such a force would have impacted last year’s sales figures. For example, do you plan to increase prices over the next 12 months? If so, how might this affect sales in relation to previous figures?
Here are some of the factors you should consider when predicting future sales performance:
Sales forecasting becomes much simpler and more accurate when the right tools are used to capture and analyse data. Integrated ERP software, for example, collates sales data from every channel of your business – including trade counter or EPOS sales, telesales, sales rep orders, ecommerce etc. – so you can make data-backed predictions with confidence.
A great example of the types of tools you can use for accurate sales forecasting is predictive stock management. Automating the forecasting process, it presents the user with a forecast prediction aligned to their stock preferences, e.g., how much buffer stock you want to carry, as well as stock lead times.
Presented with this data, the procurement team can then use their insight and knowledge to tweak this forecast where necessary. It’s a great example of the marriage of automation to reduce manual work, whilst still allowing people to have input on the end result.
Elsewhere, utilising customised dashboards or control desks, instead of static reports, to differentiate pipeline value by rep, branch, prospect customer etc., can give businesses dynamic information to adjust their forecasts and be agile around expectations and demand.
What’s more, clever use of the CRM in conjunction with opportunity probability management enables you to allocate an estimated percentage chance that you think you will win a sales deal. By giving each sales opportunity/quotation a probability, you can produce a sales weighting forecast that will give you a fairly accurate idea of what your sales will be.
This will give you a better chance of forecasting the revenue and stock position of months and years ahead.
Many businesses have a five-year plan, a strategy that looks to drive business growth and profitability. But remember, such a plan will impact sales in one way or another, so it’s important that you align your sales forecasts with your short and long-term business objectives.
Say, for example, your business plan sets out a period of growth in the form of new hires or the creation of a whole new department. How will this affect sales? And to what extent should it be factored into your revenue forecasts?
Aligning your business strategy and sales forecasts is a crucial step. It helps prioritise business activity, ensuring that the right decisions are made to drive the business forward.
Charts, graphs and annotations can all be used to set out your sales forecasts for the year ahead. These should be included in your business plan, providing an accessible means of sharing forecasts with key stakeholders, personnel and investors.
As well as charting forecasts in number terms, you should set out your sales strategy, including how you arrived at the quoted figures. This not only quantifies your reasoning, but serves as a reminder of the market position at the time of writing – something that could prove useful if you need to refer back to where the figures came from at a later date.
Sales forecasting can be a laborious process, particularly if you want to guarantee accuracy. There are, however, a range of tools and software which can be leveraged to automate some elements of the process, removing some of the legwork associated with sales forecasting.
At Intact, we’re well aware of the importance of sales forecasting – and the arduous nature of it. That’s why we offer specialist expertise and solutions to help automate and simplify the process, from ERP software and predictive stock management to data analytics tools designed to improve data-driven decision-making.
We hope this guide helps you take stock of sales forecasting. If you’d like to optimise this area of your business, the Intact team can help. For more information or to speak to a member of our specialist team, visit the homepage. Alternatively, for more help and advice on ways to manage your inventory, take a look at our free guide to effective stock management.