Weather Analytics For Retail and Consumer Goods Companies
Leverage weather data to run better trade promotions, forecast demand, understand consumer behaviour, personalize marketing campaigns and boost sales.
Leverage weather data to run better trade promotions, forecast demand, understand consumer behaviour, personalize marketing campaigns and boost sales.
Weather is one of the most important external influencing factor impacting CPG and retail sales. Consumer demand and behaviour change significantly due to weather alterations. With Acuvate’s Compass, you can leverage weather intelligence to improve the accuracy of your decision-making. Our solution helps you not only integrate weather data but also transform the data into actionable insights with advanced analytics.
Weather affects a myriad of processes within any consumer-facing business, but weather data often remains unharnessed by most retail organizations. Consumer preferences differ due to sudden or seasonal change of atmospheric conditions impacting the buying behaviour. With weather data and analytics, you can…
Optimize trade promotions for long-term and short-term based on the upcoming weather and seasonal changes to get the maximum bang for the buck.
Use local weather data to improve the effectiveness of your marketing and advertising campaigns targeted to seasonal products.
Understand the impact of weather on your future sales and reduce lost sales.
Predict how a shift in buying behaviour can impact your inventory, promotions, marketing, logistics etc.
Meet weather-driven demand and stock the right products at the right time and place for the right amount.
Mitigate costs by allocating the right amount of resources and enhancing operational efficiencies.
We help you integrate historic, real-time, and forecasted weather data of locations of your choice to ensure you get the most accurate insights.
Raw weather data is mostly unstructured and remains mostly unharnessed. We transform this raw data into actionable intelligence using advanced analytics.
Machine learning algorithms are used to detect patterns and trends in the weather data. Uncover potential future opportunities and be prepared for unfavorable weather conditions.
You don’t have to rely on the countless spreadsheets for making decisions. Our solution is enabled with advanced visualizations and a user-friendly interface.
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