www.tomorrow.io Open in urlscan Pro
2606:4700::6812:1d2a  Public Scan

Submitted URL: https://email.tomorrow.io/e3t/Ctc/RF*113/cr-zm04/VWpv2w7QM7XLW4ZCVgd3fdbCbW7swsJQ55fT6ZKqRz3lYMRW95jsWP6lZ3lpW4xQdhw1n22LQ...
Effective URL: https://www.tomorrow.io/winter-business-preparation-mitigating-winter-risks-with-weather-intelligence/?utm_medium=email&...
Submission: On October 30 via manual from FR — Scanned from FR

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      Expiry: 180 daysType: HTTP
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      loglevelMaintains settings and outputs when using the Developer Tools
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      collectUsed to send data to Google Analytics about the visitor's device
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      Expiry: SessionType: Pixel
      _gaRegisters a unique ID that is used to generate statistical data on how
      the visitor uses the website.
      Expiry: 2 yearsType: HTTP
      _ga_#Used by Google Analytics to collect data on the number of times a
      user has visited the website as well as dates for the first and most
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      Expiry: 2 yearsType: HTTP
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      Expiry: 1 dayType: HTTP
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      the visitor uses the website.
      Expiry: 1 dayType: HTTP
      tdRegisters statistical data on users' behaviour on the website. Used for
      internal analytics by the website operator.
      Expiry: SessionType: Pixel
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      10
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      _hjRecordingEnabledCollects data on the user’s navigation and behavior on
      the website. This is used to compile statistical reports and heatmaps for
      the website owner.
      Expiry: SessionType: HTML
      _hjRecordingLastActivitySets a unique ID for the session. This allows the
      website to obtain data on visitor behaviour for statistical purposes.
      Expiry: SessionType: HTML
      hjActiveViewportIdsThis cookie contains an ID string on the current
      session. This contains non-personal information on what subpages the
      visitor enters – this information is used to optimize the visitor's
      experience.
      Expiry: PersistentType: HTML
      hjViewportIdSaves the user's screen size in order to adjust the size of
      images on the website.
      Expiry: SessionType: HTML
      _hjAbsoluteSessionInProgressThis cookie is used to count how many times a
      website has been visited by different visitors - this is done by assigning
      the visitor an ID, so the visitor does not get registered twice.
      Expiry: 1 dayType: HTTP
      _hjFirstSeenThis cookie is used to determine if the visitor has visited
      the website before, or if it is a new visitor on the website.
      Expiry: 1 dayType: HTTP
      _hjIncludedInSessionSample_#Collects statistics on the visitor's visits to
      the website, such as the number of visits, average time spent on the
      website and what pages have been read.
      Expiry: 1 dayType: HTTP
      _hjSession_#Collects statistics on the visitor's visits to the website,
      such as the number of visits, average time spent on the website and what
      pages have been read.
      Expiry: 1 dayType: HTTP
      _hjSessionUser_#Collects statistics on the visitor's visits to the
      website, such as the number of visits, average time spent on the website
      and what pages have been read.
      Expiry: 1 yearType: HTTP
      _hjTLDTestRegisters statistical data on users' behaviour on the website.
      Used for internal analytics by the website operator.
      Expiry: SessionType: HTTP
    * Hubspot
      4
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      __hsscIdentifies if the cookie data needs to be updated in the visitor's
      browser.
      Expiry: 1 dayType: HTTP
      __hssrcUsed to recognise the visitor's browser upon reentry on the
      website.
      Expiry: SessionType: HTTP
      __hstcSets a unique ID for the session. This allows the website to obtain
      data on visitor behaviour for statistical purposes.
      Expiry: 180 daysType: HTTP
      hubspotutkSets a unique ID for the session. This allows the website to
      obtain data on visitor behaviour for statistical purposes.
      Expiry: 180 daysType: HTTP
    * LinkedIn
      1
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      AnalyticsSyncHistoryUsed in connection with data-synchronization with
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      Expiry: 30 daysType: HTTP
    * Matomo
      2
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      _pk_id#Collects statistics on the user's visits to the website, such as
      the number of visits, average time spent on the website and what pages
      have been read.
      Expiry: 1 yearType: HTTP
      _pk_ses#Used by Piwik Analytics Platform to track page requests from the
      visitor during the session.
      Expiry: 1 dayType: HTTP
    * Twitter Inc.
      1
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      personalization_idThis cookie is set by Twitter - The cookie allows the
      visitor to share content from the website onto their Twitter profile.
      Expiry: 400 daysType: HTTP
    * VWO
      11
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      _vis_opt_exp_#_combiUsed by Visual Website Optimizer to ensure that the
      same user interface variant is displayed for each visit, if the user is
      participating in a design experiment.
      Expiry: 100 daysType: HTTP
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      participating in a design experiment.
      Expiry: 100 daysType: HTTP
      _vis_opt_test_cookieUsed to check if the user's browser supports cookies.
      Expiry: SessionType: HTTP
      _vwo_dsCollects data on the user's visits to the website, such as the
      number of visits, average time spent on the website and what pages have
      been loaded with the purpose of generating reports for optimising the
      website content.
      Expiry: 3 monthsType: HTTP
      _vwo_referrerRegisters data on visitors' website-behaviour. This is used
      for internal analysis and website optimization.
      Expiry: SessionType: HTTP
      _vwo_snCollects statistics on the visitor's visits to the website, such as
      the number of visits, average time spent on the website and what pages
      have been read.
      Expiry: 1 dayType: HTTP
      _vwo_uuidUsed by Visual Website Optimizer to ensure that the same user
      interface variant is displayed for each visit, if the user is
      participating in a design experiment.
      Expiry: 10 yearsType: HTTP
      _vwo_uuid_v2This cookie is set to make split-tests on the website, which
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      also be set to improve the visitor's experience on a website.
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      optimizes the website's relevance towards the visitor – the cookie can
      also be set to improve the visitor's experience on a website.
      Expiry: PersistentType: HTML
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      1
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      used for internal analysis and website optimization.
      Expiry: SessionType: HTML
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      2
      ziwsSessionCollects statistics on the user's visits to the website, such
      as the number of visits, average time spent on the website and what pages
      have been read.
      Expiry: SessionType: HTML
      ziwsSessionIdCollects statistics on the user's visits to the website, such
      as the number of visits, average time spent on the website and what pages
      have been read.
      Expiry: SessionType: HTML
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      2
      _dd_sRegisters the website's speed and performance. This function can be
      used in context with statistics and load-balancing.
      Expiry: 1 dayType: HTTP
      dd_cookie_test_#Registers data on visitors' website-behaviour. This is
      used for internal analysis and website optimization.
      Expiry: 1 dayType: HTTP
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      3
      browserIdSets a ID for the visitor. This serves to count the number of
      specific visitors on the website.
      Expiry: PersistentType: HTML
      undefinedCollects data on visitor interaction with the website's
      video-content. This data is used to make the website's video-content more
      relevant towards the visitor.
      Expiry: PersistentType: HTML
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      3
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      lastExternalReferrerDetects how the user reached the website by
      registering their last URL-address.
      Expiry: PersistentType: HTML
      lastExternalReferrerTimeDetects how the user reached the website by
      registering their last URL-address.
      Expiry: PersistentType: HTML
      _fbpUsed by Facebook to deliver a series of advertisement products such as
      real time bidding from third party advertisers.
      Expiry: 3 monthsType: HTTP
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      CHILI_PIPER_CLUSTERCollects information on user preferences and/or
      interaction with web-campaign content - This is used on
      CRM-campaign-platform used by website owners for promoting events or
      products.
      Expiry: PersistentType: HTML
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      12
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      IDEUsed by Google DoubleClick to register and report the website user's
      actions after viewing or clicking one of the advertiser's ads with the
      purpose of measuring the efficacy of an ad and to present targeted ads to
      the user.
      Expiry: 1 yearType: HTTP
      pagead/landingCollects data on visitor behaviour from multiple websites,
      in order to present more relevant advertisement - This also allows the
      website to limit the number of times that they are shown the same
      advertisement.
      Expiry: SessionType: Pixel
      ads/ga-audiencesUsed by Google AdWords to re-engage visitors that are
      likely to convert to customers based on the visitor's online behaviour
      across websites.
      Expiry: SessionType: Pixel
      NIDRegisters a unique ID that identifies a returning user's device. The ID
      is used for targeted ads.
      Expiry: 6 monthsType: HTTP
      pagead/1p-user-list/#Tracks if the user has shown interest in specific
      products or events across multiple websites and detects how the user
      navigates between sites. This is used for measurement of advertisement
      efforts and facilitates payment of referral-fees between websites.
      Expiry: SessionType: Pixel
      rc::hPending
      Expiry: PersistentType: HTML
      pagead/gen_204Collects data on visitor behaviour from multiple websites,
      in order to present more relevant advertisement - This also allows the
      website to limit the number of times that they are shown the same
      advertisement.
      Expiry: SessionType: Pixel
      csiCollects data on visitors' preferences and behaviour on the website -
      This information is used make content and advertisement more relevant to
      the specific visitor.
      Expiry: SessionType: Pixel
      __gadsUsed to register what ads have been displayed to the user.
      Expiry: 1 yearType: HTTP
      __gpiCollects information on user behaviour on multiple websites. This
      information is used in order to optimize the relevance of advertisement on
      the website.
      Expiry: 1 yearType: HTTP
      _gcl_auUsed by Google AdSense for experimenting with advertisement
      efficiency across websites using their services.
      Expiry: 3 monthsType: HTTP
      GoogleAdServingTestUsed to register what ads have been displayed to the
      user.
      Expiry: SessionType: HTTP
    * Hubspot
      1
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      __ptq.gifSends data to the marketing platform Hubspot about the visitor's
      device and behaviour. Tracks the visitor across devices and marketing
      channels.
      Expiry: SessionType: Pixel
    * LinkedIn
      4
      Learn more about this provider
      bcookieUsed by the social networking service, LinkedIn, for tracking the
      use of embedded services.
      Expiry: 1 yearType: HTTP
      li_sugrCollects data on user behaviour and interaction in order to
      optimize the website and make advertisement on the website more relevant.
      Expiry: 3 monthsType: HTTP
      lidcUsed by the social networking service, LinkedIn, for tracking the use
      of embedded services.
      Expiry: 1 dayType: HTTP
      UserMatchHistoryEnsures visitor browsing-security by preventing cross-site
      request forgery. This cookie is essential for the security of the website
      and visitor.
      Expiry: 30 daysType: HTTP
    * Spotify
      2
      Learn more about this provider
      sp_landingUsed to implement audio-content from Spotify on the website. Can
      also be used to register user interaction and preferences in context with
      audio-content - This can serve statistics and marketing purposes.
      Expiry: 400 daysType: HTTP
      sp_tUsed to implement audio-content from Spotify on the website. Can also
      be used to register user interaction and preferences in context with
      audio-content - This can serve statistics and marketing purposes.
      Expiry: 400 daysType: HTTP
    * Twitter Inc.
      3
      Learn more about this provider
      i/adsct [x2]The cookie is used by Twitter.com in order to determine the
      number of visitors accessing the website through Twitter advertisement
      content.
      Expiry: SessionType: Pixel
      muc_adsCollects data on user behaviour and interaction in order to
      optimize the website and make advertisement on the website more relevant.
      Expiry: 400 daysType: HTTP
    * VWO
      1
      Learn more about this provider
      s.gifRegisters user behaviour and navigation on the website, and any
      interaction with active campaigns. This is used for optimizing
      advertisement and for efficient retargeting.
      Expiry: SessionType: Pixel
    * YouTube
      18
      Learn more about this provider
      LAST_RESULT_ENTRY_KEYUsed to track user’s interaction with embedded
      content.
      Expiry: SessionType: HTTP
      LogsDatabaseV2:V#||LogsRequestsStorePending
      Expiry: PersistentType: IDB
      nextIdUsed to track user’s interaction with embedded content.
      Expiry: SessionType: HTTP
      remote_sidNecessary for the implementation and functionality of YouTube
      video-content on the website.
      Expiry: SessionType: HTTP
      requestsUsed to track user’s interaction with embedded content.
      Expiry: SessionType: HTTP
      TESTCOOKIESENABLEDUsed to track user’s interaction with embedded content.
      Expiry: 1 dayType: HTTP
      VISITOR_INFO1_LIVETries to estimate the users' bandwidth on pages with
      integrated YouTube videos.
      Expiry: 180 daysType: HTTP
      YSCRegisters a unique ID to keep statistics of what videos from YouTube
      the user has seen.
      Expiry: SessionType: HTTP
      yt.innertube::nextIdRegisters a unique ID to keep statistics of what
      videos from YouTube the user has seen.
      Expiry: PersistentType: HTML
      ytidb::LAST_RESULT_ENTRY_KEYStores the user's video player preferences
      using embedded YouTube video
      Expiry: PersistentType: HTML
      YtIdbMeta#databasesUsed to track user’s interaction with embedded content.
      Expiry: PersistentType: IDB
      yt-remote-cast-availableStores the user's video player preferences using
      embedded YouTube video
      Expiry: SessionType: HTML
      yt-remote-cast-installedStores the user's video player preferences using
      embedded YouTube video
      Expiry: SessionType: HTML
      yt-remote-connected-devicesStores the user's video player preferences
      using embedded YouTube video
      Expiry: PersistentType: HTML
      yt-remote-device-idStores the user's video player preferences using
      embedded YouTube video
      Expiry: PersistentType: HTML
      yt-remote-fast-check-periodStores the user's video player preferences
      using embedded YouTube video
      Expiry: SessionType: HTML
      yt-remote-session-appStores the user's video player preferences using
      embedded YouTube video
      Expiry: SessionType: HTML
      yt-remote-session-nameStores the user's video player preferences using
      embedded YouTube video
      Expiry: SessionType: HTML
    * cdn.ampproject.org
      1
      VISITOR_PRIVACY_METADATAPending
      Expiry: 180 daysType: HTTP
    * edge.fullstory.com
      1
      _fs_tab_idTracks the individual sessions on the website, allowing the
      website to compile statistical data from multiple visits. This data can
      also be used to create leads for marketing purposes.
      Expiry: SessionType: HTML
    * tribl.io
      1
      ti_Used in context with Account-Based-Marketing (ABM). The cookie
      registers data such as IP-addresses, time spent on the website and page
      requests for the visit. This is used for retargeting of multiple users
      rooting from the same IP-addresses. ABM usually facilitates B2B marketing
      purposes.
      Expiry: 400 daysType: HTTP

 * Unclassified 8
   Unclassified cookies are cookies that we are in the process of classifying,
   together with the providers of individual cookies.
    * cdn.ampproject.org
      1
      amp-store:https://#.#Pending
      Expiry: PersistentType: HTML
    * weather-website-client.tomorrow.io
      5
      mapbox.eventData.uuid:Y2xpbWFjZWxsPending
      Expiry: PersistentType: HTML
      mapbox.eventData:Y2xpbWFjZWxsPending
      Expiry: PersistentType: HTML
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Ruth Favela
Oct 16, 2023· 8 min, 12 sec
Ruth Favela
Ruth Favela is Tomorrow.io's AI Marketing Specialist. She draws on more than 5
years of experience as an editor, writer, and social media specialist for a
handful of AI startups.
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HOW BUSINESSES CAN MITIGATE AND PREPARE FOR WINTER RISKS WITH DATA-DRIVEN
INSIGHTS




TABLE OF CONTENTS

 1.  The Most Impactful Storms of 2022/23
     * February 24, 2023 Blizzard
     * December 21-26, 2022 Holiday Storm
 2.  The Need for Hyperlocal Weather Data
 3.  Customizable Parameters for Each Industry
 4.  Transitioning to a Proactive Mindset with Advanced Notice
 5.  The Future of Weather Intelligence
 6.  Weathering Any Storm with Tomorrow.io
 7.  AI-Powered Weather Intelligence for Every Industry
 8.  Advice for Business Leaders Relying on Traditional Forecasts
 9.  Innovations on the Horizon
 10. Key Takeaways

Bitter cold, frosty mornings, and snow-drenched landscapes — breathtaking
scenery that winter brings to the U.S. Winter carries an air of enchantment but
also breeds a host of challenges businesses often grapple with.

A bitter reality that prompts the question – how can businesses across sectors
mitigate severe winter weather hazards?

Before diving into potential safeguards, let’s first examine the two most
impactful winter storms from last season, which generated the highest volume of
alerts across industries. Analyzing these disruptive events illustrates why
resilience strategies are crucial.


THE MOST IMPACTFUL STORMS OF 2022/23

As highlighted in our recent Operator’s Winter Almanac, two severe winter storms
stood out for generating the highest volume of alerts across industries this
past winter. By examining the impacts of these disruptive events, we can
understand why resilience strategies are crucial.


FEBRUARY 24, 2023 BLIZZARD

What Happened: This far-reaching winter storm brought heavy snow, blizzard
conditions, and bitter cold to much of the central and eastern U.S. Snowfall
exceeding a foot paralyzed travel from the Dakotas through the Great Lakes, with
whiteout conditions forcing closures of major interstates. Nearly 500,000 lost
power in Michigan as ice accumulation downed trees and power lines. Further
east, a messy mix of freezing rain and ice pellets caused thousands of flight
cancellations before changing to rain.



The Impacts: The storm’s expansive reach disrupted operations and supply chains
nationwide. Travel was halted, supply chains interrupted, and infrastructure
damaged across sectors.

How Tomorrow Helped Teams Adapt:

 * Hyperlocal weather alerts enabled proactive planning and mitigation based on
   impacts to specific assets.
 * Predictive power outage forecasts optimized utility restoration.
 * Wind alerts prevented crane mishaps and ensured construction site safety.


DECEMBER 21-26, 2022 HOLIDAY STORM

What Happened: In the days leading up to Christmas, a sprawling winter storm
brought snow, high winds, extreme cold, and near-blizzard conditions from the
Midwest through the Northeast. Minneapolis, Chicago, and Detroit faced hours of
heavy snowfall amid frigid temperatures. Snowfall of 6-12″ accumulated from
Minnesota to Ohio, with upwards of 4-5 feet in the Buffalo, NY area. An arctic
blast followed, with temps plunging below zero. Whiteout conditions closed
interstates as gusts exceeded 50 mph.



The Impacts: Ultimately, over 6 million lost power, thousands of flights were
canceled, and rail service was suspended. This disruptive storm heavily impacted
holiday travel and logistics.

How Tomorrow Helped Teams Adapt:

 * Pinpointed snow depth forecasts optimized sidewalk/runway treatment and
   clearing.
 * Cold weather alerts prevented mechanical failures and infrastructure damage.
 * Route optimization navigation avoided dangerous road segments.

Now let’s explore potential safeguards businesses can implement to avoid the
catastrophic consequences of extreme winter weather scenarios.

To gain insights into practical strategies for leveraging advanced weather
analytics, we spoke with Vinny Renaldi, Manager of Customer Success at
Tomorrow.io.

In this blog are key insights from our in-depth interview. You can watch the
entire discussion below.




THE NEED FOR HYPERLOCAL WEATHER DATA

In the past, many organizations have relied on basic apps and public weather
information to prepare for winter hazards. However, these generic forecasts are
often precisely that: generic. They lack the nuanced, hyperlocal data needed to
make operational decisions.

As Vinny explained: “A lot of times, organizations are using a weather app that
repackages governmental data. And what [Tomorrow.io] does is we provide
proprietary data that brings safety protocols to life. When I say that, most of
the time, when you’re receiving an alert, it’s based on a county-level advisory.
We’re making this customized, actionable solution based on their protocols.”

Public weather reports typically cover entire counties. But conditions can vary
drastically within a few miles. For businesses to drive real value from a
weather forecast, they need location-specific weather insights tied to their
internal protocols. When organizations know how weather impacts their daily
operations and desired outcomes, we can change how we proactively prepare for
the incoming weather.




CUSTOMIZABLE PARAMETERS FOR EACH INDUSTRY

The impacts of winter weather differ across industries: A light dusting of snow
may shut down a Texas airport, while a Massachusetts logistics company continues
deliveries unphased by the weather. What these businesses monitor for will also
differ; transportation companies may focus on monitoring ice accumulation,
snowfall totals, and wind chill to ensure safety. Aviation companies will watch
for frost and wind to protect ground workers.

To account for these differences, Tomorrow.io offers fully customizable weather
parameters based on each business’s unique needs. Clients can track metrics
like:

 * Snow accumulation
 * Freezing rain
 * Ice accumulation
 * Wind chill
 * Frost

Vinny explains: “We break it down into different varieties of freezing rain,
sleet, windchill. And I think looking at those specific data layers is what
allows them to be more robust when it comes to the actual reporting to improve
overall safety and improve operational decision making.”

This tailored approach provides actionable insights instead of blanket
advisories.

Tomorrow.io helps customers identify the weather data layers most relevant to
their business activities. If a business needs to stop operations when snow
depth hits a certain threshold, Tomorrow.io enables setting custom alerts based
on that criteria. Enabling this alert allows companies to make data-driven
decisions to mitigate risks and reduce disruptions.


TRANSITIONING TO A PROACTIVE MINDSET WITH ADVANCED NOTICE

Advanced notice is critical for mitigating winter weather risks. However,
sifting through advisories can be time-consuming. Advanced weather tech offers
customized alerts triggered by location-specific thresholds.

As Vinny described, “We were setting an alert configuration in place where they
were receiving alerts 12 hours out and then one hour out. And what that did was
the 12 hour alert went to the supervisor; he was able to then be aware of an
impactful weather event. And then the one-hour advisory went to a user group
within the platform, so that way they were able to be proactive and get a heads
up.”

With automated notifications, your team eliminates guesswork and keeps all
stakeholders aligned. Users can also opt for consolidated email digests rather
than constant pings.

This advanced notice allows managers to implement safety protocols and make
necessary resource adjustments proactively. It gives them time to confirm
procedures, equipment needs, scheduling changes, etc. When you have the
information ahead of time, even if it’s just a few hours, you improve your
team’s ability to be proactive about the weather rather than reactive to it,
giving you a leg up against the competition and the ability to maintain employee
safety and operations in the future.

Near-term alerts shortly before a storm keep staff updated on conditions as
events unfold and help businesses understand the impact the weather will have on
them.


THE FUTURE OF WEATHER INTELLIGENCE

While Tomorrow.io already provides robust winter weather support, they
continually refine capabilities based on customer feedback.

Some exciting features on the horizon, according to Vinny, include:

 * Animated snow accumulation mapping
 * Enhanced snow depth tracking
 * Additional customization of alert triggers

The company also noted investments in API integrations that pipe Tomorrow.io
data into third-party apps and systems.


WEATHERING ANY STORM WITH TOMORROW.IO

As Vinny summarizes, Tomorrow.io offers end-to-end weather intelligence: “We
help [organizations] identify which weather data, which weather data layers are
gonna be most important to their operations, and then align with that single
source of truth and help them send out alerts for the weather in regards to
their desired business outcomes.”

With real-time tracking, customizable parameters, and proactive alerts,
businesses can tackle volatile winter conditions head-on. Weather intelligence
transforms reactive scenarios into data-driven strategies for mitigating risk
and maximizing operations despite the weather.

Now more than ever, organizations need reliable weather insights tailored to
their unique needs. By leveraging AI-powered solutions like Tomorrow.io, leaders
can weather any storm.


AI-POWERED WEATHER INTELLIGENCE FOR EVERY INDUSTRY

While winter weather affects every industry, Vinny noted that transportation,
logistics, and aviation are often most severely impacted due to public safety
risks. However, any company can experience substantial revenue, scheduling, and
resourcing effects from winter storms.

One key point he emphasized is that ideal weather data parameters and risk
thresholds are heavily dependent on geographic location. A moderate snow event
in one region could significantly disrupt another area less accustomed to winter
conditions. Tomorrow.io helps customers define location-specific alerts tailored
to their risk tolerance.


ADVICE FOR BUSINESS LEADERS RELYING ON TRADITIONAL FORECASTS

For organizations still using consumer weather apps or public forecasts, Vinny
stressed the importance of aligning with a centralized weather data source.
Relying on different forecasts and data can lead to communication breakdowns and
inconsistent decision-making.

Tomorrow.io provides a “single source of truth” for tailored weather
intelligence. However, Renaldi noted it can be good to have supplementary
sources. Within Tomorrow.io, customers can view National Weather Service alerts
layered on top of proprietary forecast data. This feature allows comparing data
sets while maintaining alignment on actions driven by the core system.


INNOVATIONS ON THE HORIZON

Looking ahead, Vinny highlighted several exciting innovations in development
that will bring even more value to Tomorrow.io customers. One example is
enhancing snow accumulation data by animating the forecasted buildup over time,
giving a clear visualization of the magnitude of an approaching winter storm.

Additional improvements will continue expanding the weather parameters
available, driven by direct customer feedback on their greatest operational
needs. The platform’s flexibility enables Tomorrow.io to continually add new
capabilities as businesses identify ways to leverage weather insights.


KEY TAKEAWAYS

As Vinny summarized, Tomorrow.io aims to provide end-to-end weather intelligence
– from identifying the most valuable data parameters to configuring alerts
optimized for business outcomes. By leveraging AI and machine learning,
Tomorrow.io transforms raw weather forecasts into actionable insights tailored
to each company’s risk tolerance, safety protocols, and operations.

With the ability to make data-driven decisions, take proactive precautions, and
streamline communication, organizations using Tomorrow.io are better positioned
to mitigate risks and minimize disruptions from volatile winter weather.

 

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