Planalytics Description
Planalytics' predictive analytics use advanced statistical methods, machine learning (ML), and mountains of sales data to improve accuracy. Weather-based demand volatility is a key external factor that retail businesses should pay attention to. Planalytics offers product-specific, localized demand adjustments which isolate and calculate the consumer’s relationship to the weather. Retail businesses with over 75,000 locations rely on Planalytics' proven analytics. Retailers can quickly integrate Planalytics into their existing software/SaaS and AI/ML platforms. There is no faster way to get the unrealized value of current demand forecasting technologies, and to start capturing the financial benefits that are generated by optimized inventories, promotions and markdowns.
Planalytics Alternatives
Earth Networks
You can manage your operations with personalized, real-time weather alerts You can trigger location-based alerts. Notifications sent via email, text, and mobile app. Receive "all-clear alerts." The pupil is represented by the red icon of an eye that has lightning. Situational Awareness. See where lightning strikes. Track 80+ weather conditions in real-time. Chat with meteorologists. A red icon indicating a real-time weather forecast map. It has a large pin at the top. Keep everyone informed. You can set precise location and zoom-level views. Slideshows with custom views can be created. Use the real-time weather map to draw. A growing library of map layers is available, including Earth Networks Total Lightning. Current and forecasted radar. Storm, freezing rain, snow and other severe weather layers. Even if your weather isn't being monitored, our alerts will notify you. Keep track of the weather wherever you are.
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Xactware Respond
Respond® predictive analytics can help you predict and mitigate the impact of extreme weather events, such as major hurricanes or destructive hail. Respond uses real-time weather data feeds for insights that can be used to improve operational performance and decision-making in weather risk assessment, severe storm preparation, loss prevention, disaster response and recovery, and weather risk assessment. The Respond analysis overlayed on your policies in force, (PIF), visualizes policyholder locations as well as coverage values for areas with high potential exposure to hail or other perils. Ensure that you have the right adjuster skills to handle storm-related properties. Reduce the time it takes to process claims and increase policyholder satisfaction. Increase reinsurance treaty recovery. Forecast the volume of claims for natural hazard events accurately. Respond helps you to visualize storm severity and helps you visualize destructive weather.
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Meteomatics
Meteomatics is a company that offers a wide range of weather-related services, including high-resolution commercial weather forecasting, power output forecasting for wind, solar and hydro, weather data gathering from the lower atmosphere using Meteodrones, and weather data delivery via the Weather API.
Some of the key features of their Weather API include:
- Unlimited accesses/day
- Weather data querying via URL
- Unified weather data access for historical and current weather, forecasts, climate models, and data from over 25 weather models
- WMS and WFS interface
- Delivery of forecasts with an average response time of 20 to 30 ms
- 90 m downscaling worldwide
- 1800+ parameters
- Historical weather data from 1979
Climate data including climate scenarios up to the year 2100
- Secured use with HTTP and HTTPS
- Integration with many formats, connectors, and programming languages available
- Proprietary European Weather Model with 1 km resolution – EURO1k (Business plan)
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JMP Statistical Software
JMP, data analysis software Mac and Windows, combines powerful statistics with interactive visualization.
It is simple to import and process data. Drag-and-drop interface, dynamically linked graphics, libraries of advanced analytics functionality, scripting language, and ways to share findings with others allow users to dig deeper into their data with greater ease.
JMP was originally developed in 1980 to capture the new value of GUI for personal computers. JMP continues to add cutting-edge statistical methods to the software's functionality with every release. John Sall, the organization's founder, is still Chief Architect.
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Integrations
Company Details
Company:
Planalytics
Year Founded:
1996
Headquarters:
United States
Website:
www.planalytics.com/planalytics-predictive-demand-analytics/
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Product Details
Platforms
SaaS
Type of Training
Documentation
Customer Support
Phone Support
Online
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