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Bluebell, a company founded by three fathers with healthcare backgrounds, aimed to simplify parenting by creating an innovative baby monitor. The team wanted to capture more data from a variety of sensors across interconnected devices, while also incorporating creative tracking and control features. The goal was to reduce the stress of parenting and improve the well-being of babies. However, they faced the challenge of developing an application from scratch that could capture all this data, enable controls and alerts, and provide data-driven guidance to foster a better connection between parent and child. The team was aware that developing such an application would be time-consuming and costly.

Cabify, a ride-sharing service operating in over 90 cities across 11 countries, was facing a significant challenge in maintaining the high-quality experience they promised their riders. The company prides itself on its professional drivers, clean and modern cars, and giving riders more control over their journey preferences. However, the company was struggling with its in-house alert system, which was crucial for connecting riders with nearby and available drivers. When a rider requested a ride, Cabify had to quickly alert only those drivers who fit the need, a process that could require up to 80 alerts sent simultaneously. As Cabify expanded its operations, the in-house alert system was unable to cope with the increasing demand, threatening the company's commitment to quality and customer satisfaction.

Climate LLC, the digital farming division of Bayer Crop Science, was faced with the challenge of providing real-time updates to farmers to improve their productivity. The company needed a reliable way to share real-time data across their digital farming platform, which would help farmers monitor their operations in real time from their app. The challenge was to deliver these updates and device status changes at scale, without latency issues, no matter how high usage spikes. Network reliability was a significant concern, especially during the harvest season when usage spikes. The company needed a solution that could operate continuously and reliably to deliver real-time updates of farm equipment usage.

Event.Gives was born out of a frustration with the inefficient and paper-heavy process of traditional fundraising events. The company's co-founder, Sam Staley, was particularly frustrated with the cumbersome bidding process during an elementary school fundraising event. The process was not only inefficient but also failed to maximize the potential for donations. The challenge was to create a solution that would streamline the bidding process, increase engagement, and ultimately raise more funds. The advent of the COVID-19 pandemic further complicated matters, as many live events and fundraisers were cancelled. Event.Gives needed to pivot and find ways to support virtual events and get people back to work.

Gett, a Tel-Aviv based transportation company, was facing challenges in providing real-time updates to its riders and drivers. The company's mission was to provide the best mobility platform for enterprises, offering an end-to-end solution for business travel. However, the periodic updates from their backend server were causing delays of 5-10 seconds before riders received updates on their driver's status or payment completion. This delay was negatively impacting both riders and drivers, leading to cancellations and rebooking, which translated into lost money. Gett needed a solution that could provide instantaneous updates without any delays, loss of information, or security lapses.

i6 Group aimed to transform the largely paper-driven airline and airport fueling industry with a software application. The challenge was to create a reliable, comprehensive, end-to-end solution that airports could trust to provide accurate, time-sensitive notifications and status updates about fueling, catering, and other under-the-wing operations. The goal was to minimize turnaround time and ensure flights depart on time, every time, worldwide. The task was not just to digitize the process but to revolutionize it, making it more efficient and reliable.

JUNO, a digital events and engagement platform, faced a significant challenge in 2020 when the demand for virtual events surged due to the global pandemic. The platform, which hosts large, multi-day and multi-session audience events, experienced exponential growth as industries were forced to move their in-person events online. JUNO quickly tripled in size and began hosting and connecting millions of users. However, this rapid growth presented a problem. Their events regularly maxed out in attendance, often exceeding thousands of participants, and JUNO needed a more reliable, scalable solution for their in-app chat. They were already using Vonage for their OpenTok, video, and audio conferencing features, but they needed a solution that could handle unlimited concurrent users and continue to grow with them.

Kiswe, a company that creates live-streams for entertainers to deliver personalized content to their fans in real time, was facing a significant challenge. They needed to scale their chat infrastructure to handle global events of any size. Before partnering with PubNub, Kiswe’s VP of Engineering, Scott Miller, and his team were seeking a solution that would ensure their platform operates reliably and in real time to handle a large influx of traffic for their virtual concerts. They needed a partner that could scale without concurrency limits or latency issues. The reliability of the platform was crucial for Kiswe, as it would allow them to focus on delivering interactive live events to global audiences without worrying about delays.

LiveLike, a New York-based technology company, was facing a significant challenge in their quest to create a platform that could capture the joy and community of live events virtually. The company's goal was to make virtual events as engaging and energetic as in-person ones, allowing viewers to feel as if they were sitting front row at a concert or game. However, they encountered a major hurdle while developing for Turner Sports, a large sports broadcaster. The task was to develop a feature that allowed viewers to create and share their basketball brackets in real time, through chat, while watching games. Turner Sports wanted to keep viewers engaged and in-app so that audiences wouldn’t use third-party messaging services. However, LiveLike’s previous chat API provider had a hard concurrency limit of just a few thousand users, which was insufficient for handling the fluctuating audience sizes of live events.

MaNaDr, a healthcare provider, was faced with the challenge of meeting the growing demand for modern, real-time access to healthcare services. The company aimed to provide a platform where patients and doctors could interact for virtual diagnosis, screenings, consultations, and scheduling. However, the criticality of information, privacy concerns, and regulatory requirements posed significant hurdles. The solution needed to be secure, compliant, and reliable, enabling real-time two-way communication. The challenge was to find a solution that could meet all these requirements without compromising on any aspect.

Mayhem, a platform that allows gaming communities to build customized leagues, faced a significant challenge in providing a reliable and engaging chat experience for its users. The platform recognized the importance of chat in event setup and fostering relationships that would keep players engaged and returning. However, providing a reliable chat, real-time leaderboards, and push notifications for tens of thousands of simultaneous players was a daunting task. They were using Twilio, but its 1,000 user limit disrupted the player experience. Additionally, a homegrown solution would be difficult to scale. Mayhem needed a solution that could scale to support their expected growth while meeting the engagement expectations of their various communities.

Moment House, a platform for artists and creators to host live-stream events and connect with fans globally, faced a significant challenge. The platform needed to handle traffic for events of any size, from anywhere in the world, and provide a seamless experience for an unlimited number of concurrent users. This was crucial as audience traffic fluctuated for each event. The company also wanted to enhance the interactivity between creators and their fanbase during these live-stream events. Prior to PubNub, Moment House considered building in-house and evaluated multiple platforms to handle any amount of message and usage traffic for large-scale events. They needed a solution that offered high stability for concurrency and minimal downtime.

monad.social, a membership-based live streaming community, was founded to provide a platform for creators to own, monetize their content, and connect authentically with their fans. The platform allows artists to deliver exclusive content to their community, host live performances, engage directly with fans, and generate revenue. However, the platform was primarily handled through a WordPress plugin, which was not sufficient to support the evolving needs of the platform. The company needed a reliable, flexible, and scalable chat solution that could facilitate real-time, engaging, and intimate experiences between artists and their fans. The solution needed to be customizable to allow the addition of new features as the platform grows.

Next Tech, an online tech education platform, was facing significant challenges with its collaboration infrastructure. The platform was built on Firebase and was critical for instructor-led learning. However, it was struggling with uptime and speed, leading to a poor experience for both students and instructors. The company's goal was to make online tech education as powerful as in-person learning by enabling reliable, real-time collaboration. However, the existing infrastructure was not able to meet these requirements. Next Tech tried several alternatives, including Cloud Firestore, Action Cable, Pushpin, and Nchan, but none of these solutions were able to meet the company's needs for a reliable and fast collaboration platform.

The client, one of the world's largest automobile manufacturers, was struggling with the automation of their finance and accounting processes due to the complexity of handling a multi-country roll out. The client was dealing with huge monthly volumes of invoices, varying formats, and business rules specific to different supplier types. The process was heavily dependent on manual execution, making it time-consuming and prone to errors. With increasing volumes, the finance and accounting team was unable to meet the processing timelines. The client had attempted to implement Robotic Process Automation (RPA), but the results were not as expected. The rule-based nature of most RPA solutions made them unsuitable for handling frequent changes in invoice templates. The addition of new vendors, changes in invoice formats, and changes in supplier status made the initial RPA approach unsuccessful. The client was looking for an automation solution that could process at least 70% of the invoices, but the continuous introduction of new formats made this a challenging task.

The client, a leading American airline, was faced with an unprecedented challenge due to the COVID-19 pandemic. The global restrictions on travel led to a massive influx of requests for flight cancellations, rescheduling, and refunds. These requests were coming in from multiple contact channels, including online queues, calls, emails, and more. The sheer volume of these requests significantly impacted their systems, slowing them down and putting immense pressure on their customer service teams. The teams were unable to process the requests accurately due to the overload, leading to a backlog of thousands of hours of work. This situation was not only affecting the efficiency of the airline's operations but was also negatively impacting the customer experience.

Lauren Concrete, a company with an extensive service area across Central Texas, was facing a challenge with its 26 plants. Each plant had different material costs associated with them for the same item. This meant that if two plants were equidistant from a specific job delivery location, one plant might be more cost-effective to service that job because the material costs were lower. The challenge was to identify which plant would provide the lowest possible material and delivery cost for each job delivery location.

Siemens Real Estate, responsible for managing Siemens' global real estate portfolio, was faced with the challenge of identifying cost savings and consolidation opportunities for new property renewals. The task was to improve customer service and boost efficiency by merging sites. However, the process of identifying consolidation opportunities when properties were due for renewal was time-consuming and complex. The team had extensive data on spreadsheets but lacked a way to visualize the locations of Siemens in the US and Canada. They managed two property portfolios, and using color-coded maps would significantly speed up their research process. The sales team also needed to present Siemens locations by county, state, or country when presenting to a government department or potential customer, as a robust physical presence could win new customers.

Thermo Fisher was undergoing a significant change that required them to reorganize their safety specialist group, a part of their sales organization. This reorganization involved separating the group from the rest of the organization and doubling its size. The challenge was to create 30 efficient sales territories. The team had used territory alignment platforms in the past, but they needed a more effective solution. They began assessing options for territory alignment software and discovered eSpatial. The team found the eSpatial's eTerritory menus and features to be logically simple and easy to use. However, they lacked true routing and zoning in their alignments, having only point-to-point alignments versus ZIP codes.

AZPRO, a large-scale format printing company based in Arizona, was facing significant challenges in planning efficient routes for its installers and delivery drivers. With a diverse customer base spread across the city, including both new and repeat customers, the company was struggling to map out the most efficient routes for its deliveries and installations. The company plans over 10 routes per week, each with anywhere from 10 to 80 stops. The task of planning these routes was not only time-consuming but also increasingly complex as the number of stops increased. Furthermore, the routes were not static and could change every week depending on the project or clients. The larger the project, the more frequently the route could change, adding to the complexity of the task.

Mean Green Solutions, Inc., a small business in Orange County, Florida, serves as a vendor to the Federal National Mortgage Association (FNMA) and the Federal Home Loan Mortgage Corporation (FHLMC). The company, led by Shannon Marques, was looking to expand its services by conducting property safety hazard inspections for these government agencies. However, the challenge was to make this process cost-effective by ensuring that her employees could inspect as many properties as possible within a regular workday. The properties were scattered across Orange County, the fifth largest county in Florida, making it crucial to group properties geographically to minimize driving distance and maximize employee productivity. The company initially used MapQuest and Google Maps for route planning, but these platforms had limitations. They could only handle about 25 properties at a time, the routes were often inaccurate, and employees spent a significant amount of time locating addresses.

RATP Dev USA, a provider of public transportation services, was facing a significant challenge in ensuring the safety of its passengers and drivers. The nature of public transit is such that incidents are bound to occur. In the past, securing clear, accurate, and reliable video equipment on a fleet of vehicles was not common, leaving agencies to hypothesize or scramble for public footage of an incident to identify the root cause. This lack of clarity extended the time of an open investigation and left the public, clients, public officers, and more with questions regarding disciplinary actions, remedies to prevent the incident from reoccurring, and lessons to be learned for future safety and training purposes.

Carter, a leading provider of logistics solutions in South Africa, began as a ride-hailing startup in 2020. However, due to the Covid-19 pandemic, the demand for people-moving services declined as residents stayed home instead of shopping at brick-and-mortar stores. Recognizing an opportunity in the delivery logistics industry, Carter decided to pivot from people to packages. As the company grew, the need for efficient route planning became evident. Their in-house route planning algorithm could only handle up to 10 stops and required more computational resources on their servers than they had anticipated. This led Carter to seek a specialized solution for their route planning needs.

The University of Rochester Medical Center (URMC) faced several challenges in delivering pharmaceuticals to 8 major hospitals and the surrounding residential region of Rochester, NY. The large service area and critical stop requirements made manual route planning time-consuming and inefficient. The situation was further complicated by the short shelf-life of many drugs, including chemotherapy drugs, which needed to be delivered to other facilities without expiring. Any delay in delivery could have serious implications for quality of care and patient outcomes. Additionally, as the number of stops per route increased, the complexity of the route also increased exponentially, making it harder to create efficient routes. Previous attempts to use other routing solutions from big name carriers to smaller providers proved unsuccessful as they were unable to handle the number of stops or factor in the necessary routing constraints.

Aeroport Taxi & Limousine Services, a large fleet management company in Ontario, Canada, was facing significant challenges in managing driver safety and liability across its fleet of over 3,000 vehicles and drivers. The company's previous dash cam vendor had limitations that didn't meet their needs. The footage was automatically overwritten once the dash cam's memory card reached capacity, making it difficult to investigate incidents and refute false claims. Additionally, the lack of in-cab alerts meant that drivers could only be coached after an incident had already occurred. This lack of real-time feedback and visibility into incidents put Aeroport at risk for false claims and increased insurance costs. Aeroport needed a solution that could provide real-time feedback for drivers and better visibility into incidents to improve safety and protect their business.

All Aboard America (AAA), a passenger transportation company operating private charters and public routes in three states, was facing challenges with their disconnected, manual processes that strained resources and limited data-backed decision making. They were using disparate, legacy systems for reporting, driver coaching, and tracking the efficiency and health of their fleet. Without access to detailed data from a single source of truth, making informed business decisions was a challenge. AAA needed a solution that would connect their operations to provide greater data insights, streamline administrative work, and proactively ensure the safety of their drivers and passengers.

American Cementing, a leader in cementing services for the oil and gas industry, was grappling with inefficiencies in their operations due to manual and paper-based administrative processes. The field technicians had to deal with a plethora of paper documents such as pre-inspection reports and fuel receipts before operating heavy equipment at well sites. This not only increased the chances of human error but also slowed down the process. The back-office team was also burdened with the task of managing the paperwork manually. Additionally, the payroll process was time-consuming and prone to inaccuracies as driver logs and the internal payroll software were not integrated. This led to issues such as inaccurate payments and a lowered employee experience when drivers forgot to log off once they were off duty.

Aunt Millie’s, a century-old bakery business, faced significant challenges in ensuring worker safety and operational efficiency across its 5 bakeries, 55 distribution centers, and a fleet of 600+ delivery vehicles. The company had a legacy security camera system in place, but it was inefficient and costly. Only a few users could access the footage due to a high license fee per user. Moreover, video retrieval was a time-consuming process, often taking hours to manually find and review footage. This reactive approach to safety incidents was inefficient and in some cases, incidents were not reviewed at all. The company also faced issues with catalytic converter theft. Aunt Millie’s needed a solution that would improve visibility, enable proactive safety measures, and increase back-office efficiency.

Berkeley County School District in West Virginia, responsible for transporting over 17,000 students daily, faced significant challenges in ensuring student safety and efficient communication with parents. The district had limited visibility into the real-time location of their school buses, making it difficult to monitor and respond to safety concerns. Their existing camera system offered only basic functionality, and retrieving footage was a time-consuming process. This lack of real-time visibility made it difficult to detect and address risky driving behaviors. Furthermore, parents often raised concerns about school bus delays and student safety, but due to the lag time from their legacy GPS vendor, the district was unable to provide accurate and timely information. Each safety concern call took up to 15 minutes to investigate, highlighting the need for a more efficient solution.

BioTrans, a leading logistics service provider for the Laboratory Research transportation industry in North America, faced a significant challenge in maintaining the integrity of their temperature-sensitive cargo. The company transports research models that require precise temperature control throughout delivery, with a variance of just a few degrees potentially compromising the load. Each classification type also requires a specific temperature range, adding to the complexity of the logistical challenge. Prior to implementing Samsara, BioTrans' quality control team could only effectively monitor temperatures for eight hours per day when someone was on shift. During the remaining 16 hours, drivers would not receive out-of-range temperature alerts, leading to cargo loss that cost BioTrans anywhere between $2,000 to $20,000 and damaged customer relationships.