{"id":21718,"date":"2025-04-23T15:16:55","date_gmt":"2025-04-23T13:16:55","guid":{"rendered":"https:\/\/www.gathering-tools.com\/previsions-des-ventes-comment-les-construire-plus-precisement-et-efficacement\/"},"modified":"2025-09-03T16:29:35","modified_gmt":"2025-09-03T14:29:35","slug":"how-to-build-more-accurate-and-efficient-sales-forecasts","status":"publish","type":"post","link":"https:\/\/www.gathering-tools.com\/en\/how-to-build-more-accurate-and-efficient-sales-forecasts\/","title":{"rendered":"How to Build More Accurate and Efficient Sales Forecasts"},"content":{"rendered":"

Sales forecasting is one of the core responsibilities of sales directors.<\/strong>
Their ability to anticipate results with accuracy and reliability is a highly valuable asset for their company\u2019s performance. On the other hand, a director who consistently provides unrealistic or inaccurate forecasts risks seeing their role\u2014and potentially their career\u2014cut short.<\/p>\r\n

Of course, not everyone is a fortune teller\u2026 and even a crystal ball wouldn\u2019t be of much help here. Delivering relevant figures is no easy task. In reality, forecasting sales means modeling customer behavior and navigating the complexity of markets\u2014both of which require structured, data-driven approaches.<\/p>\r\n

In this article, we\u2019ll explore the main obstacles to building reliable forecasts\u2014and, more importantly, how to overcome them.<\/p>\r\n\r\n

Collaborative Data Collection & Sales Forecasting: The Challenge That Changes Everything<\/h3>\r\n\"Illustration<\/span>\r\n

Most sales directors limit themselves to producing forecasts on a quarterly\u2014or even semi-annual\u2014basis.
But why not increase the frequency?
Because the process is so tedious that the idea of generating forecasts every month, or even weekly, feels unthinkable.\u00a0Yet, to produce high-quality sales forecasts that truly support both strategic and tactical decision-making, multi-level reporting<\/strong> is essential. This means collecting large volumes of field data from a wide range of sources, collaborating with commercial management controllers, consolidating and integrating inputs, and more.\u00a0In short: long hours spent working in Excel spreadsheets. And it’s far from enjoyable, as one of our retail clients, an IT Director, explained:<\/p>\r\n\r\n

\r\n

\u201cFor our sales forecasts, Excel pulls data from several applications\u2014our ERP, store management systems, and the data warehouse.
But we face multiple issues with Excel files. Collaboration is difficult because we don\u2019t always use the same data references.
On top of that, it’s hard to rework or reuse the macros and formulas. As data volumes keep growing, these problems get worse.
We\u2019re finding it increasingly difficult to make precise, detailed forecasts. Finally, there\u2019s the issue of dependency\u2014very few people have the skills to maintain or evolve these complex files.\u201d<\/p>\r\n<\/blockquote>\r\n

One of the most time-consuming steps in the forecasting process remains data collection<\/strong>.
Asking all sales managers\u2014across subsidiaries, agencies, or other entities\u2014to fill out Excel files within a set deadline can feel like running an obstacle course.
The result? Endless follow-ups to get the data on time, multiple versions of the same file, and inconsistent data\u2014even with macros in place to lock fields and reduce errors<\/strong>.<\/p>\r\n

So, how can this be improved?
The answer lies in using an application that looks and feels exactly like Excel\u2014but reliably streamlines the data collection process<\/strong>.<\/p>\r\n

Gathering Tools<\/strong> allows you to replicate the familiar spreadsheet interface (so you don’t \u201cdisrupt\u201d the contributing sales teams), while introducing real collaborative features.
Sales forecasting users can track the progress of submissions\u2014both overall and entity by entity<\/strong>, depending on their access rights.
They can also validate or reject entries, request corrections, and send notifications\u2014all from within the tool.<\/p>\r\n\r\n

Data Consolidation and Sharing with Sales and Other Teams<\/h3>\r\n\"forecast<\/span>\r\n

After data collection comes the consolidation and reporting phases\u2014but unfortunately, they\u2019re not exactly stress-free either.
Consolidating dozens of complex Excel files while ensuring data consistency is far from straightforward.<\/p>\r\n

Once again, Gathering Tools<\/strong> helps address this challenge. The platform allows you to prevent the submission of incomplete files and set up rules to authorize or restrict the addition or removal of records, all while verifying data consistency.
The files are then directly synchronized with the information system<\/strong>, ensuring that everyone\u2014across teams\u2014has access to a single version of the truth<\/strong>.<\/p>\r\n

Now that sales forecasts are consolidated, the next crucial step is sharing them<\/strong>\u2014after all, that\u2019s the main purpose of the entire process.
Of course, this doesn\u2019t mean handing over an unreadable and partially editable spreadsheet.
The ideal approach is to present the collected data using clear and tailored data visualizations<\/strong>, depending on the audience: executive management, finance, production, logistics, procurement, etc.
This again requires perfect synchronization with the information system<\/strong>, granular and accurate data, and a sound structure in the source files.<\/p>\r\n

But could we go even further\u2014by feeding sales teams (and even marketing or production) with data derived directly from sales forecasts?
That\u2019s exactly what Sylvain Baduel, BI Manager at Edilians<\/strong>, explains:<\/p>\r\n\r\n

\r\n

\u201cWe\u2019ve received very positive feedback from the sales teams on this new way of working. In return for providing their forecasts, they now receive data they didn\u2019t have access to before\u2014and that\u2019s extremely useful to them.\u201d<\/p>\r\n<\/blockquote>\r\n

How is that possible?
Thanks to Gathering Tools<\/strong>, whose files directly feed into various business applications in real time<\/strong>.
There\u2019s no need to build and maintain custom data bridges anymore!<\/p>\r\n

\ud83d\udc49 To learn more, don\u2019t hesitate to contact our experts.<\/strong><\/p>\r\n","protected":false},"excerpt":{"rendered":"

Sales forecasting is one of the core responsibilities of sales directors.Their ability to anticipate results with accuracy and reliability is a highly valuable asset for their company\u2019s performance. On the other hand, a director who consistently provides unrealistic or inaccurate forecasts risks seeing their role\u2014and potentially their career\u2014cut short. Of course, not everyone is a […]<\/p>\n","protected":false},"author":5,"featured_media":16257,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[106,101,100,102],"tags":[],"enjeu":[96,97],"expertise":[95],"class_list":["post-21718","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-commercial-en","category-data-collection","category-excel-en","category-management-control","enjeu-data-quality-process-automation","enjeu-security-and-privacy","expertise-sales-and-marketing"],"acf":[],"yoast_head":"\nHow to Build More Accurate and Efficient Sales Forecasts<\/title>\n<meta name=\"description\" content=\"La pr\u00e9vision des ventes est un enjeu du quotidien pour les directeurs commerciaux. 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