{"id":3655,"date":"2021-04-26T08:00:51","date_gmt":"2021-04-26T11:00:51","guid":{"rendered":"https:\/\/implantait.com.br\/?p=3655"},"modified":"2025-05-23T09:45:39","modified_gmt":"2025-05-23T12:45:39","slug":"voce-sabe-qual-sera-o-consumo-de-seus-produtos-nos-proximos-meses","status":"publish","type":"post","link":"https:\/\/implantait.com.br\/en\/voce-sabe-qual-sera-o-consumo-de-seus-produtos-nos-proximos-meses\/","title":{"rendered":"Do you know what will be the consumption of your products in the coming months?"},"content":{"rendered":"

It's no wonder that demand forecasting<\/a> is gaining more and more proponents in the corporate context.<\/p>\n

Understanding the future consumption of products from industries that engage in indirect sales is a way to anticipate changes in a volatile market and adjust production accordingly.<\/p>\n

And it's not without reason: comprehending product consumption is essential for industries to plan their entire operations, optimize logistics, and adjust stocks strategically throughout the production chain.<\/p>\n

However, it's a misconception to think this process is straightforward. Besides complex calculations, it requires analyzing a large volume of data accurately.<\/p>\n

Thus, by combining internal information with insights from external indicators and data from distributors, it's possible to grasp product consumption patterns and make accurate demand forecasts.<\/p>\n

But how does one practically achieve this?<\/p>\n

To show you one of the pathways and best solutions to this problem, we've created this content. Interested in learning more about the subject? Just keep reading!<\/p>\n

 <\/p>\n

The need to understand product consumption and forecast demand<\/h2>\n

Today's market is extremely volatile and driven by consumer trends. For industries with indirect sales that make decisions based solely on sell-in data, the challenge of understanding product consumption becomes even more complex.<\/p>\n

In such cases, they face a demand forecasting process that relies on less accurate data.<\/p>\n

The organization of this information tends to be decentralized, often residing in spreadsheets or text documents.<\/p>\n

The lingering question is: how can accurate demand forecasting be achieved when the company and the responsible parties have such limited data sources?<\/p>\n

This is a critical consideration, as understanding product consumption is a purely analytical activity.<\/p>\n

Moreover, it's a crucial aspect of the success of Sales and Operations Planning (S&OP), serving as the foundation for operational planning.<\/p>\n

However, its execution hinges on the quality and diversity of available data. At these times, it's essential for those responsible to have close ties with all areas of the business.<\/p>\n

After all, in businesses like these, coordinated actions are crucial. This naturally entails a basic integration of data between the manufacturer and their distribution channels.<\/p>\n

But is that enough? Consider the reality of your industry.<\/p>\n

How often has inaccurate demand forecasting adversely affected your production plans?<\/p>\n

Certainly, many companies prepare for mid-course corrections, but these adjustments often incur additional costs for the business.<\/p>\n

Moreover, what happens in months where unforeseen demand fluctuations occur? The impact directly affects the business's reputation and finances.<\/p>\n

 <\/p>\n

The biggest problem: independent analysis of information\u00a0<\/strong><\/h2>\n

In the end, the main \"villain\" in such situations isn't even the information gap between industries and their distributors, for example.<\/p>\n

This separation is natural, especially in a rapidly evolving market like Brazil's (where processes are independent and only now beginning to be integrated).<\/p>\n

The issue lies in the lack of data integration.<\/p>\n

Depending on independent analysis of information makes it easy for a forecast to diverge from the actual demand of the following month. It's an outdated method still used by many companies.<\/p>\n

Even after data integration, there's still a crucial missing component: processing this vast amount of information and interpreting it. Without the use of artificial intelligence, there wouldn't be enough time to process and utilize this information for strategy adjustments.<\/p>\n

For many companies, what's lacking is an artificial intelligence solution like Demand Forecast.<\/p>\n

This is a way to gather accurate internal and external data, process it on a robust cloud platform, and use neural network algorithms to predict product consumption by region, product, and customer profile with over 90% accuracy.<\/p>\n

O Forecast de Demanda \u00e9 uma plataforma de intelig\u00eancia artificial que cobre todos esses gaps que mencionamos acima. Funciona como uma solu\u00e7\u00e3o avan\u00e7ada para o seu neg\u00f3cio entender o consumo de produtos.<\/p>\n

 <\/p>\n

Predict the demand for your products: the potential of Demand Forecast<\/h2>\n

The major challenge for most companies looking to strengthen their demand forecasting process is: \"how do I process all the data available to me?\"como processar todos os dados que tenho \u00e0 disposi\u00e7\u00e3o<\/em>?\u201d.<\/p>\n

This is an underlying challenge in production planning. Even if a company aligns with market demands, data collection only becomes valuable if it can be processed\u2014transformed into information that generates valuable insights for your business.<\/p>\n

This is precisely the proposition of Demand Forecast!<\/p>\n

With the solution developed by Implanta, industries can anticipate consumption expectations, understanding what and how much their supply chain agents might purchase of their products.<\/p>\n

All of this is done precisely, based on real data, leveraging the highest technologies such as Artificial Intelligence and Machine Learning.<\/p>\n

Demand Forecast is a robust solution capable of handling the large volume of data generated by and for your organization.<\/p>\n

Why not get ahead of the competition, accurately and efficiently measure your demands, and plan the next steps for your industry?<\/p>\n

Contact Implanta IT today<\/a> and discover how Demand Forecast<\/strong> and their suite of data intelligence solutions can benefit your business!<\/p>","protected":false},"excerpt":{"rendered":"

N\u00e3o \u00e9 \u00e0 toa que, cada vez mais, o processo de Previs\u00e3o de Demanda ganha adeptos no contexto corporativo. Pois entender qual \u00e9 o consumo futuro de produtos das ind\u00fastrias que realizam vendas indiretas \u00e9 uma forma de se antecipar \u00e0s altera\u00e7\u00f5es de um mercado vol\u00e1til e ajustar sua produ\u00e7\u00e3o para esta demanda. E n\u00e3o […] (…)<\/p>\n","protected":false},"author":2,"featured_media":11333,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[101,106,77,35,12,10,105,42,37],"class_list":["post-3655","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-outro","tag-consumo","tag-consumo-de-produtos","tag-dados","tag-forecast-de-demanda","tag-industria","tag-previsao-de-demanda","tag-previsao-de-vendas","tag-varejo","tag-vendas"],"yoast_head":"\nPrevis\u00e3o de demanda: sabe qual ser\u00e1 o consumo de seus produtos nos pr\u00f3ximos meses?<\/title>\n<meta name=\"description\" content=\"Entenda a import\u00e2ncia de contar com uma solu\u00e7\u00e3o de previs\u00e3o de demanda para o processamento e intelig\u00eancia de dados em sua empresa!\" \/>\n<meta name=\"robots\" content=\"noindex, follow\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta 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