Forecast and Mother's Day: how artificial intelligence increases sales

6
min
Created in:
May 12, 2023
Updated:
6/26/2024

Forecasting sales for Mother's Day is essential, as this is the second most important date for Brazilian commerce.

This period generates a significant increase in digital retail sales, even more so for companies that use artificial intelligence to forecast sales.

In this article, we'll show you the benefits of adopting sales forecasting in your business, so you can understand how it works in practice.

Keep reading! 🚀

Sales forecast: forecasting with artificial intelligence to sell more

Making assertive decisions in seasonal times can be a major challenge for companies, especially in the wake of the pandemic, when consumer habits have changed a lot.

Against this backdrop, artificial intelligence (AI) can help companies sell more on this special date. And we explain how.

What is a sales forecast?

O sales forecast is a technique that enables advanced analysis based on historical data.

AI is capable of:

  • predict market trends;
  • setting assertive standards;
  • and identify faults.
Sales forecast: visualize estimates and make projections with artificial intelligence
Sales forecast: visualize estimates and make projections with artificial intelligence

This is important for defining a strategy, especially on these dates.

And for companies wishing to implement forecasting, including setting up a data infrastructure, predicting market trends, boosting sales and creating realistic targets, we have a few tips to share.

Indicium's tips on sales forecasting

One of the key points is to map the increase in accesses to the website or sales platform during the shopping period.

This is because unpreparedness on the part of some companies can lead to loss of revenue, slowness on the site and complaints from customers and potential customers.

For this reason, we recommend that the teams responsible monitor the number of simultaneous accesses, the number of people who accessed the page the previous year, and whether the page was slow or even went offline at the time.

Having this information will help you predict how many people will enter the site on that same seasonal date next year, and develop an infrastructure that supports navigation to ensure a successful shopping experience for people.

Another important tip is to use data from the previous year to identify purchasing patterns, product and service sales.

Analyzing these figures will provide insights into people's buying behavior, including which products to invest more or less in when thinking about a promotion, for example.

It is also essential to look at the number of clicks, customer interests and the most frequent searches during that period. But never neglect data such as the best-selling products.

This is valuable information that helps not only the IT team to prepare, but also the marketing team, sales and other departments for the demands that will arise.

Finally, creating realistic goals is essential.

Take external factors into account, such as competition, product supply and demand. To do this, analyze the data in detail, not just for the last year, but for previous years as well, and compare it with the output of products at other times.

Create a forecast model to guide your planning

Forecasting sales for Mother's Day is essential, as this is the second most important date for Brazilian commerce.

Not to mention that the virtual environment has transformed the shopping experience, as well as competition analysis, supply and demand. And having accurate data on all this is essential.

With this in place, you'll be able to look back at your last year's target, identify the mistakes and successes of that previous strategy, correct the errors, change the strategy at critical points and always make the best use of the data.

Growth chart with sales forecast
Growth chart with sales forecast

It sounds complex, and it is, but you can create a data app to operationalize all this.

Shall we talk about a sales forecast for your business?

If you want to have a successful sales forecasting project, talk to one of Indicium's team of experts today.

And good sales!

Tags:
Data products
Sales Forecast
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Bianca Santos

Redatora

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