top of page
  • Writer's pictureAnantaya Pornwichianwong

4 Ways AI Weather Forecasts Drive Business Success

The ongoing global warming leading to climate change has made weather forecasting more challenging than ever. We now face the possibility of unforeseen natural events like heat waves, storms, or droughts at any time, significantly affecting both our daily lives and business operations.

Discovering a more precise weather forecast is an urgent matter for businesses. Thankfully, AI has the capability to analyze vast amounts of data from various sources, offering a promising solution for achieving more accurate weather predictions.

AI has the ability to gather and merge historical weather data, data from different sensors and radars, as well as data from satellites. By detecting patterns and conducting real-time "Nowcasting" forecasts, AI can provide more precise results on an hourly basis. This allows for a more detailed understanding of weather conditions.

AI-powered, more precise weather forecasts offer a solution that can benefit businesses across various industries. Whether it's transportation, energy, retail, or agriculture, all of them heavily depend on accurate weather predictions to ensure efficient operations.

How can AI-powered accurate weather forecasts assist these businesses? Today, Sertis invites you to explore four examples of how AI weather predictions contribute to the efficient operations and profitability of major global businesses.

Minimize agriculture losses.

Every year, the agricultural industry suffers significant financial losses caused by unpredictable weather patterns and unreliable weather forecasts. According to an IBM survey, weather accounts for more than 90 percent of the production losses in agriculture. Furthermore, it was found that 25 percent of these losses could be prevented by utilizing more precise and dependable weather forecasts.

AI technology is the solution for precise and trustworthy weather forecasting. It can gather extensive data from various sources like satellite images, soil conditions, and local weather forecasts. Using this data, AI performs predictive analysis to provide valuable insights to farmers. These insights help with decisions like the best time to plant seeds, potential pest problems, and changes in rainfall. AI can also recommend suitable vehicles, timing, and transportation routes to maintain the quality of the crops. This helps agribusinesses produce high-quality agricultural products while reducing losses.

Enhance solar energy planning with AI-based forecasting.

The energy industry can also benefit from using AI for weather and energy predictions. Unpredictable weather conditions have a direct impact on daily solar energy production. With accurate weather and energy forecasts in advance, businesses in the energy sector can plan and manage their energy generation more effectively. This helps them make better decisions and operate their facilities more efficiently.

The University of Arizona has created the Solar Forecast Arbiter (SFA), a platform that compares solar forecasts from different sources to identify the most reliable prediction. This platform enables businesses to compare their own forecasts with those from various sources. It also assesses forecast accuracy by considering factors like cloud coverage, which affects solar energy levels. These assessments can be conducted 24-48 hours in advance, enabling energy providers to effectively manage the grid's energy capacity and the energy sources used.

Boost retail sales with weather forecasts.

While it may not be immediately apparent, weather forecasts play a significant role in the retail industry. The weather is a crucial factor that influences customer demand. People's daily routines and consumption habits are influenced by weather conditions. For instance, colder or rainy weather can lead to changes in people's purchasing decisions, such as opting for warmer clothing during colder days or increased demand for umbrellas and raincoats on rainy days.

In the retail industry, businesses typically adapt their product offerings based on the seasons. However, with the current unpredictable climate, there can be unexpected weather patterns, like longer summers or rainy seasons. As a result, the traditional approach of adjusting products according to the seasons may not align with consumer demand. For instance, clothing businesses may start selling summer clothes while the weather remains cold, resulting in missed sales opportunities.

Retail businesses can depend on AI weather forecasting to strategize their product offerings according to customer needs. AI can provide real-time weather forecasts for different regions and analyze customer purchasing trends in areas with diverse climates. This enables businesses to plan a tailored product mix for each physical store and online shop, aligning it with the local weather conditions and anticipated demand. By doing so, retailers can effectively cater to customer preferences, leading to increased sales and profitability.

Improve ETA accuracy for public transport vehicles.

In platforms for public transportation and food delivery services, it is crucial to not only provide quick service and prompt arrival of vehicles at pickup points but also to offer accurate Estimate Time of Arrival (ETA) information. ETA assists customers in planning and preparing for their journey, and even if there are slight delays, having precise data allows customers to anticipate and manage the situation. Therefore, ensuring accurate ETA information is vital for maintaining high customer satisfaction levels.

Because of this, Uber is investing in AI technology for weather forecasting to maintain its advantage in providing accurate ETAs. Uber collects weather data from different locations and uses AI to analyze and predict detailed and precise weather conditions. They focus on weather forecasts that could affect travel, such as heavy rain, strong winds, snow, high temperatures, and even air pollution, at each specific time and location, down to the minute. Uber combines all this information to predict an accurate ETA, so customers know how long their journey will take and can avoid unexpected delays. This helps to keep customers satisfied with the service.

From these examples, it's clear that AI-based weather forecasting solutions bring advantages to various industries and can generate higher profits for businesses than anticipated. Additionally, AI can be utilized in numerous ways, elevating business operations to new heights.

In a time when technology is booming and advancing rapidly, it's important for businesses to concentrate on creating new technology-driven solutions. These solutions will empower businesses to lead their industries and stay strong amidst a changing world.

Collaborate with Sertis to create AI solutions that address all your business challenges and drive your business forward.

Learn more about Sertis solutions at:

bottom of page