To start with, you’ll want to look at figures from the previous holiday season to project this year’s holiday sales, cash flow, earnings, expenses and inventory needs. Failure to do so means you’ll have no real benchmarks for measuring success and your data analysis will be skewed. You could overspend on inventory or underestimate how much cash flow you need for the months ahead. This will more than likely have a negative impact on your bottom line.
So, let’s look at some figures from the 2022 holiday season. Generally, retailers had to increase discounts and prices to ramp up customer demand. In November and December 2022, average discount rates were 21% globally (11% up from 2021) and 23% in the US (up 10%). Meanwhile, product prices went up worldwide by 5.3% in the same period. This led to online sales in the US growing by 5% ($270 billion) from the previous year.
This behavior indicates shoppers are more sensitive to price than ever before. And that sensitivity is motivated by several factors, including the value of time and experience in relation to a product, how convenient it is to buy and the level of service that will be provided by retailers.
To make sure you’re prepared, be sure to do an extensive cash flow forecast. This involves taking all the previous year’s sales, revenue and expenses and predicting certain outcomes like the price of sourcing inventory from a specific country. But rather than doing it manually, you can automate the forecasting through predictive modelling. You’ll speed up the process, get more accurate information and identify how customers plan to shop during the holidays.