ARD Logistics, a global provider of Supply Chain Management services, faced a significant challenge in delivering parts to a major luxury auto manufacturer. The delivery had to be executed Just-In-Time (JIT) and Just-in-Sequence (JIS), with Very Narrow Aisle Storage (VNA) and utilizing an Automated Storage Retrieval System (ASRS). The company needed a fully integrated warehouse management system that could meet these specific requirements and optimize the loading of Specialized Delivery/Transportation by their fleet of box trucks. The challenge was not only to meet the stringent delivery requirements but also to ensure the system was fully integrated and capable of managing the complex logistics operations.

BBVA, a global banking and financial services group, was faced with the challenge of adapting to the rapidly changing landscape of digital payments. The bank noticed a significant increase in mobile payments, particularly during the COVID-19 pandemic, with the percentage of customers using this method rising from 4.4% to 23%. As part of its digital transformation journey, BBVA aimed to offer its customers an exceptional range of services and a great banking experience. The bank was already using Google Maps Platform to help customers find their nearest branch or ATM locations, but it wanted to further leverage the potential of Google Maps Platform solutions. BBVA's mobile banking app was used by 71% of its customers in Spain, and was accessed more than 120 million times a month. The bank wanted to provide more information about each customer transaction to offer a better financial experience for digital customers.

According to the World Health Organization (WHO), there are approximately 1.7 billion people in the world suffering from a range of mental health conditions. This might be anything from acute anxiety and clinical depression to obsessive-compulsive disorders. The WHO believes there are 23 million people suffering from these and similar conditions in Egypt alone. However, one of the factors preventing people from receiving treatments are cultural values and social stigma: they say that either these conditions do not exist, or that if people are indeed suffering, they just need the willpower to overcome their afflictions rather than seeking specialized treatment.With an estimated 10,000 website hits per month, Shezlong needed a hosting platform that could not only provide a foundation for the service but also accommodate its open source architecture.

温湿度监控解决方案血液站属于医疗卫生机构，负责收集和储存血液并将血液提供给临床或血液制品生产单位。因此，血液站中心的血液非常宝贵。温度和湿度环境对于确保血液在血液站中的安全非常重要。

NZ Post, a government-owned enterprise providing postal services across New Zealand for over 180 years, was facing a decline in mail services. To adapt to the changing needs of consumers and retailer customers, NZ Post aimed to transform from a traditional mail company into a reliable courier and online digital services organization. The company's goal was to expand its digital solutions and ecommerce logistics services worldwide and offer personalized customer experiences. However, IT complexities and data silos posed significant challenges. The company needed to access and gather data from disparate systems, such as parcel tracking data, contact center data, and financial data, to gain necessary insights for creating personalized customer experiences, launching innovative solutions, and expanding its ecosystem.

Anglian Water, a company that supplies water and water recycling services to over six million customers across East Anglia and Hartlepool, was committed to efficiently managing and conserving water supplies. As part of its 'love every drop' commitment, the company aimed to raise customer awareness about the preciousness of water. A key part of their strategy was to implement a smart metering scheme across the entire region by 2030. However, the company faced the challenge of handling and securing the massive amount of customer data that would be generated. They needed a technology solution that could not only protect and secure customer data but also offer the compute and analytics capabilities to handle the huge quantity of data involved.

Industrial robotic systems see increasing levels of vibration on their mechanical elements which often indicates the need for service. Factory operations personnel need to find a way to increase their awareness of vibration and use AI/ML analytics to interpret the data and address the issue in a timely manner. This is a fairly standard interpretation of predictive maintenance that many Industry 4.0 advocates aspire to.In the past, service schedules were accommodated using a paper log file, and the intervals between were often decided arbitrarily by a supervisor based on their experience and feel for the operation. As robotic systems in modern manufacturing become more complex, factory managers need to be aware of their maintenance requirements in real-time and be on top of both routine and critical service scheduling in order to avoid an interruption in service.

Quality management in this facility was only done at the end of the production process. This makes it hard to link scrap output to its root causes and understand when and why faulty bricks are being produced. This makes the process not only unpredictable but also inefficient.

The European Space Agency's Research and Service Support (ESA RSS) is a service that provides resources to support Earth Observation data exploitation. The main purpose of the RSS service is to provide its customers, who are primarily researchers from universities and research centers, service providers, public institutions, and medium-sized enterprises, with reliable and performant services. The challenge was managing the variable workload and the diversity of processing required. They needed a solution that would allow them to focus on their main responsibilities, specifically in terms of development and support, without being distracted by basic operational requirements.

Openreach is a wholesale telecoms business providing engineering services to more than 650 communications providers, which sell the phone, broadband, and Ethernet services to UK homes and businesses. Openreach wanted to improve the customer experience by ensuring that jobs (e.g., telephony installations and repairs) were completed successfully the first time, every time, and on time. This was easier said than done because Openreach’s engineers needed to diagnose and fix a wide range of connectivity issues.To provide the best possible service, Openreach had to move beyond its traditional engineering mindset and put customers at the heart of its business.

Pantheon, an independent software vendor (ISV) based in the Netherlands, was experiencing rapid growth and an increasing demand for its information and communication technology (ICT) services. The company provides custom ICT solutions, including enterprise resource planning (ERP), human resource management (HRM), and customer relationship management (CRM) software for wholesale and manufacturing companies. As more organizations, particularly small and medium enterprises, were moving to a cloud or hybrid cloud infrastructure, Pantheon saw a significant rise in demand for its cloud and hosting services. This required investments in a robust cloud foundation, including the purchase of new, scalable servers and accompanying software.

The automotive industry has been facing challenges with the traditional drape forming process, a method used to adhere materials to car interiors. The conventional process uses a metal tool with heating and cooling channels to glue materials like leather onto car interiors. However, the tool, made by milling solid metal blocks, only allows for straight-line drilling of channels, limiting design possibilities. This limitation often leads to long cycle times and inconsistent heating and spreading of the glue, resulting in time and material wastage when the outcome doesn't meet the strict quality standards of the industry. The challenge was to eliminate these issues caused by using conventionally manufactured tools.

Global manufacturers like BMW face a complex optimization problem: scheduling their workers to achieve production targets while minimizing idle hours. The challenge lies in the wide range of possible configurations and numerous constraints. Different shops have varying production rates, and each has their own discrete set of shift schedules. Furthermore, manufacturers need to prevent overflows and shortages in the buffers between steps in the manufacturing process. The complexity of the problem is further compounded by the need to optimize across multiple variables and constraints, making it a difficult task to solve using traditional methods.

Dunzo, an all-in-one 24x7 delivery platform, was facing challenges in maintaining its high standards of customer service as it scaled operations. The company, which fulfills over 2 million orders per month across India’s top 8 cities, was looking for a high-performing tool to handle high volume and support their load. The customer service team realized that 60% of the order-related queries they received were generic, and they wanted to reduce the number of chats that go to an agent. They needed a platform that could provide structured team performance reports to improve their customer experience. Dunzo also wanted to offer service through a familiar and convenient channel for its predominantly GenZ and Millennial customer base, for whom messaging is second nature.

captures vibration & other environmental data in real time through sensors installed on various components of industrial equipment like Turbines, pumpsgenerates insights to help predict downtimes and thereby enable customer to maintain systems health & equipment efficiency.processes the high volume, high frequency data to monitor, analyze & alert about machine condition. 

A Fortune 500 industrial supply company was facing consistent network failures multiple times per day at its newly opened distribution center. This resulted in a halt in automation, forcing staff to manually fulfill orders, which in turn slowed deliveries and strained relationships with customers and suppliers. The company's revenue fell, and future sales were affected. The new center was operating only at 10-20% capacity. The company needed to ramp up capacity to 100%, but had concerns about potential network issues. They onboarded a global leader in material handling systems to fix the problem, who then brought on Belden to uncover any issues or misalignment with the facility’s network.

BharatPe, a fintech company founded in 2018, aimed to make digital payments more accessible for over 10 million small offline merchants and kirana store owners in India. However, the company faced challenges in managing the massive amounts of data generated daily from payment processing to business analysis. Prior to using Google Cloud, BharatPe managed its legacy data warehouse with limited capacity to run a large number of queries. The company ran key performance indicator (KPI) reports, without the ability to understand real-time data patterns. Loading three months of data for quarterly reports took more than 30 minutes on the legacy system, and in some cases, queries failed because the system could not scale to support analytical needs. Additionally, BharatPe operates in a multi-cloud environment for disaster recovery and needed a data platform that could run queries against data, regardless of where it resides.

ASML, a global leader in the semiconductor industry, faced a significant challenge with its new breed of machine learning product. The product, designed to predict process performance per device layer, needed to train itself due to frequent changes in device layer and manufacturing processes. Furthermore, the product had to monitor its own accuracy and retrain accordingly without any connection to ASML. The company needed a powerful, secure platform for building AI-driven products to meet customer demands. However, the semiconductor industry had been resistant to cloud solutions due to fears of compromising security in a field where intellectual property protection is critical.

Takebishi, the Kyoto-based total solutions provider, distributor and evangelist for Mitsubishi Electric Corp. factory automation technology, is readying its flagship industrial communication middleware DeviceXPlorer® OPC Server for the smart factories and connected industry of the 2020s with a major new version upgrade. With its business growing both in its native Japan and around the world and unauthorized use an increasing concern, the invaluable intellectual assets invested in the system call for a licensing solution that is as smart and sophisticated as it is reliable and easy to use.

At the corporation’s Mizushima plant near Okayama, pH measurement during the neutralization of strong acids is closely monitored. For this important measurement Tsutomu Ishikawa and Naoto Ogura, engineers at the plant’s Instrumentation and Engineering Department were not satisfied with the performance of the pH sensors they were using.For this reason, sensors were regularly exchanged at the plant to minimize the chance of failure in the process. But the operation cost was high and Mr. Ishikawa and Mr. Ogura needed a better solution. Specifically, they required to know in advance when a pH sensor would need to be cleaned, calibrated or replaced: “We wanted to grasp how deposits forming on the pH sensors would affect the timing of sensor maintenance and exchange.”

Due to declining workforces in ageing societies such as Japan, securing sufficient human resources is becoming increasingly difficult, which in turn is raising the demand for AI that can support efficient mechanized operations. New production facilities, however, present special challenges due to differences in pre-learned and actual shop environments, resulting in huge amounts of time devoted to teaching AI before it can be implemented on a full scale.

The global bank, based out of North America, was facing a significant challenge in managing its report repository connected to dozens of applications and database systems used across the enterprise. The bank, serving close to 20 million customers worldwide, had to manually download hundreds of thousands of reports from these applications to a centralized location for use on a weekly basis. The file formats were typically unstructured data, usually in text or PDF, with no consistency in report formats across the different applications, or even for reports created using the same application. End users would then manually copy data from the text / PDF formats to Excel-based reports used for reconciliation, attestation, financial reporting, journal entries and other uses. This process was time-consuming, prone to human error, and inefficient.

In 2019, a global leader in electronic instrument manufacturing aimed to improve their organizational shortage communication and achieve ambitious inventory reduction goals. The company's demand varied from item to item, which complicated their inventory purchasing process and affected supply to the manufacturing floor. This put factories at risk of production-halting critical shortages. The management of this complexity was challenged by an unwieldy ERP system and a lack of total visibility into operations. Establishing optimal order policies for inventory management was possible in the ERP, but it required manual ABC analyses, a cumbersome process that took three to six months. The team viewed these analyses at a quarterly cadence, arguably too infrequently to react to market demand. Metrics around action items, time management, usage, and average demand were not available to the team in their ERP system.

HARTMANN, a global leader in medical device manufacturing, operates in over 35 markets worldwide. The company faced the challenge of maintaining a uniform and organized IT infrastructure across its vast facilities and workforce. The user experience for HARTMANN executives and staff, whether in Heidenheim, Germany or Shanghai, China, needed to be of identical quality. To prevent local differences, HARTMANN decided to harmonize its IT infrastructure, which had been managed locally. However, the implementation with Microsoft DNS and DHCP solutions left the company unsatisfied over time. The problem was that the implementation was dependent on individual sites, limiting visibility into network operations. The data was outdated, and performing system analyses was a slow, time-consuming process. Furthermore, it wasn’t possible to integrate a backup concept with modern DHCP.

The world generates 2.01 billion tons of municipal solid waste annually, and traditional waste management methods are proving to be highly inefficient. Approximately 80% of waste is collected at the wrong time, leading to overflowing bins, unsanitary environments, citizen complaints, illegal dumping, and increased cleaning and collection costs. Early waste collections also contribute to unnecessary carbon emissions, increased traffic congestion, and higher operating costs. Nordsense, a Denmark-based company, aims to address these challenges and revolutionize the waste management sector using IoT sensors and data insights.

Digitalli, a Paris-based audiovisual communication company, specializes in creating, designing, and producing point-of-sales films and adverts for luxury retailers. The company faced a significant challenge in monitoring its installed equipment to ensure its proper functioning. Any sudden malfunction could negatively impact the consumer experience, the visual aesthetic of a store, and ultimately, sales and brand image. Regular maintenance checks and fixing screens during unexpected outages proved to be expensive. Digitalli sought an IoT solution with an advanced management platform for remote monitoring of all network assets. However, deploying an IoT solution in a retail environment was not straightforward due to the need for multiple internal approvals and security clearances. Digitalli wanted to implement a cellular connectivity solution to connect its assets independently of its retail partners' systems. However, managing multiple SIM vendors and product inventories, tracking costs across different jurisdictions, and monitoring data consumption posed significant challenges.

CosaTron, a company that provides high-value, remote air quality monitoring services for building owners and facilities managers, faced a significant challenge due to the COVID-19 pandemic. The urgency to monitor indoor air quality increased exponentially among their customers. This was primarily due to the heightened awareness and concern about the spread of the virus in enclosed spaces. Additionally, customers expressed a need to review the indoor air quality themselves. This requirement posed a challenge for CosaTron as it necessitated a solution that could provide real-time, remote monitoring of indoor air quality sensors, which was not part of their existing service offerings.

Matto Central Hospital in Hakusan, Japan, established in 1948, was facing a significant challenge in training its physicians on new robotic surgery techniques for prostatectomy and other procedures. The hospital had recently acquired the da Vinci robotic surgery equipment, which required hands-on training and experience. However, being a relatively small hospital, finding the budget for a simulation lab was a significant hurdle. Despite the financial constraints, the hospital recognized the importance of a robotic skills lab, especially for the surgical residents who found it attractive.

Ticketmaster, a global leader in event ticket sales, faced a significant challenge in modernizing their tech stack to improve user experience and stay ahead of the competition. With over 40 years in the business and having acquired numerous ticketing businesses, Ticketmaster had 30-40 different ticketing platforms, each with its unique inventory and customer base. The company had been using a legacy Content Delivery Network (CDN) provider for over 15 years, which had become increasingly challenging to manage due to its complexity and the undocumented rules built over the years. The cost of delivery on their CDN provider was expanding, and the black-box nature of their legacy CDN required many professional services hours to configure, update, and manage. This made it difficult for the team to implement changes quickly and efficiently. Furthermore, the company had to support the needs of 16 different product teams within Ticketmaster, making the situation even more complex.

A major European aircraft component supplier encountered this challenge first-hand. A mission-critical, programmable milling machine failed, halting the organization’s production process. Despite the customer team’s expertise, the problem proved challenging to diagnose. At first, it appeared the downtime resulted from a damaged spindle, the most complicated part of the milling machine. However, a costly and time-consuming spindle replacement did not correct the situation. The team was forced to perform an extensive system evaluation to identify the culprit.