A US-based fintech company that offers a cloud-based customer success platform for logistics service providers was facing significant challenges in their pricing and RFP process. The company was struggling to analyze the variables that impact pricing and required an intelligent system that could predict the optimal price that aligns with their business objectives. The existing RFP and pricing workflow was inefficient, leading to delays in determining lane-level pricing and bid analysis for shipping contracts. Additionally, the process of analyzing large amounts of internal and external data from various sources was time-consuming, leading to a low bid win rate.

Globacap, a UK-based fintech company and market leader in blockchain-based security issuance and administration, was faced with the challenge of simplifying and expanding access to global capital via their capital raising platform. The company aimed to issue a world’s first digital token that itself forms the legal shareholding in the company, extend their core team with specialists who have relevant experience and skills in fintech, develop a single-page application to ensure much-improved user experience, improve the KYC process, and enable companies to track transactions for their tokens. However, they faced challenges in ensuring the security of the platform and its compliance with a number of fintech regulations, developing a mechanism that would provide easy management of digitized equity, and scaling a team with relevant competencies within a short time frame.

HelloFresh, a leading global meal-kit company, was facing significant challenges in managing and tracking incidents within the company. The company was using forms and spreadsheets on an ad-hoc basis, which proved to be inadequate with the growing operations and evolving needs. The challenges included error-prone and manual work, inability to identify and track bottlenecks, dependencies on multiple channels for cross-departmental collaboration, lack of traceability in task management, and lack of clean & accurate data for external and internal reporting. The company was in need of a service management solution that could standardize the approach to incident management and centralize information flow, leading to a single source of truth for all incident-related data.

TCS has partnered with ABN AMRO bank to explore the potential of blockchain in the clearing and settlement segment. This test explores how tokenized cash balances and equities are allotted and transferred between issuers, clearing banks, and investors. We leveraged our PoC platform within a sandbox environment integrated to their back-office platform. This engagement tries to establish whether a distributed ledger integrated with legacy systems can create a‘single source’of truth to allow instant cash settlements

Before implementing our safety software solution, Michael Armitage, EHS Manager noted how Siemens had a lot of business units using different systems for the recording of EHS events. There was a clear need for a more efficient system for managing EHS data which would fit both client and divisional reporting requirements. The biggest issue with each business unit using a different H&S system was that a lot of them were using old databases and in some cases, Excel spreadsheets. Risk assessments, inspections and audits, method statements and training all sat separately with little or no interaction.

Hera is now among the nation’s largest multi-utilities, born in 2002 out of the aggregation of 11 municipal companies operating in Emilia-Romagna, Italy. The first corporation of its kind nationwide, Hera worsks mainly in the environment (waste management), water (aquaduct, sewage and purification) and energy (electricity, gas distribution and sales, energy services) sectors. Other services offered include public lighting and telecommunications. Its range of activities undergoes continuous and constant development, and meet the needs of 4.4 million citizens in over 350 municipalities in Emilia-Romagna, Friuli-Venezia Giulia, Marche, Tuscany and Veneto. Right at the technological heart of HERA is HERAtech, the company that manages the work requested by customers for all network services managed by the Hera Group and also handles the design and construction of plants and networks in addition to highly specialised technical activities, such as plant remote control, the technical call centre that manages Emergency Services and the Analysis Laboratories for drinking water, wastewater and waste.The project by Endian for Hera is developed in cooperation with the Fluids Remote Control Division and its main goals are to fully manage the suppliers’ access to plants and devices, and to punctually monitor the network distributed over the regions covered by the service. Control activity takes action in multiple data centers, the places where all critical infrastructure is housed, and it’s all about authorizing access to suppliers and scanning all connections to detect any possible unauthorized devices or intrusions. 

British American Tobacco (BAT), a leading tobacco group, was facing a challenge in identifying and employing the best candidates for its management-level vacancies. The company was heavily reliant on third-party recruiters, contracting more than 70 separate agencies each year worldwide. This resulted in a diverse level and quality of candidates, with some regions falling below BAT's expectations. To support its long-term competitiveness, BAT aimed to implement a consistent approach to recruitment across its global operations, enabling it to identify and select the best candidates. The challenge was to encourage the best candidates to apply and to identify top performers in a large pool of applicants, especially in markets where BAT's brand was perceived less favorably.

Many cities are grappling with issues such as aging infrastructure, increasing air pollution, traffic congestion, rising energy prices, and scarcity of natural resources. The traditional methods of managing these challenges are proving to be inefficient and unsustainable. For instance, waste management companies have been operating with limited innovation in operational efficiency. Trash containers often fill up too soon, and there is no real-time information on waste bins filling level. Similarly, city parking management systems are under pressure due to high and unstable demand from users. The challenge is to fully exploit all available spaces and connect them with IoT to monitor and optimize the occupancy of parking spaces. Additionally, most cities lack real-time monitoring of street light conditions, leading to energy inefficiency and higher operating costs. Lastly, cities face environmental challenges such as air pollution, noise pollution, water safety issues, inefficient irrigation, and flood risks.

BASF, the world's largest chemical producer, is constantly innovating and developing new materials for various sectors including consumer goods, transportation, healthcare, agriculture, and energy. The challenge lies in their pursuit of sustainable and innovative new materials. BASF is keen on exploring how AI and quantum techniques can be utilized on today's classical computers to enhance existing cheminformatics solutions. Specifically, they are interested in machine learning models that can predict the molecular properties of new materials. The goal is to leverage these advanced technologies to boost their materials discovery process and make it more efficient and effective.

Ingram Micro, a Fortune 100 company operating in 56 countries, is a global leader in delivering technology and supply chain services to businesses. The company's ecommerce business, which contributes significantly to its success, focuses on B2B customers and logs over $12 billion in annual sales. However, Ingram Micro faced challenges with its ecommerce site's search experience. Data showed that 70% of the site's visitors went directly from the home page to the search bar, and 70% of the products added to the checkout cart were added from the search bar. The company's search needed to accommodate complex indexing from their large catalog, variable visibility, variable price, multiple content sources, and additional context required for global operations. However, the existing search experience was poor, with low conversion rates and long search result times. It took over 20 seconds on average to get search results back, and updating the product catalog took over 8 hours, sometimes even 24 hours, limiting the company's ability to quickly display the newest products available.

Solebit (MimeCast), a company that provides identification and prevention of zero-day malware and unknown threats, was facing significant challenges with their testing processes. The existing automation tests, designed and developed by the in-house team, were not efficient. The tests were manually triggered by developers in a terminal, resulting in a large and complex file of results. The tests took over 20 hours to complete, and there was no history of the test runs available. The architecture of the test suite was unscalable, making it difficult to maintain a large number of test machines. The challenge was to create a simple runner for tests, increase their speed, redesign the architecture to support cloud platform integration, make the tests run more easily, and generate a clean report with all the necessary details. Additionally, improvements were needed for the current testing process, and some manual testing was also required.

Kitron, a leading electronics manufacturing services company, was facing challenges in maintaining its competitive edge in a rigid market. The company needed to stay up-to-date with the latest technology, robotics, automation, and digitalization. Kitron was also looking for a partner, not just an IT supplier, who could understand their industry, needs, and challenges. The company had previously used other leading industry solutions but found them too rigid. They needed a solution that could integrate with other systems. Kitron also had high growth targets, aiming for a 30% increase in revenue. As the company worked with high complexity products with low volume production, this translated into a focus on supply chain, flexibility to change, security, and efficiency. The company also needed to find the best suppliers.

The telecommunications company, offering a wide range of services including broadband Internet, fixed telephone and mobile device services, and television and on-demand entertainment, was faced with the challenge of updating its core legacy systems for billing and operations. The company needed to migrate data from its legacy billing support system (BSS) and operations support system (OSS) to modern data center applications. This process was complex due to the different data formats used by each application and the need to maintain data integrity throughout the migration. The traditional SQL process was deemed too slow and verifying the accuracy of the data migration was nearly impossible. The company required a scalable solution with analytical capabilities to assess data quality, identify errors, uncover root causes and prioritize fixes according to potential impact on revenue or customer experience.

The customer, a US-based global leader in delivering efficient solar shade systems, sought to modernize their existing product line by incorporating Internet of Things (IoT) connectivity. Their product line consisted of shade controller devices and systems, and they aimed to enhance occupant productivity and comfort, enable third-party integrations, and improve device performance and field servicing. The challenge was to devise a reliable and comprehensive IoT-led solution that could seamlessly integrate with their existing devices and applications. The customer partnered with Softdel to achieve this transformation.

Terex Corporation, a global manufacturer of lifting and material processing products, identified a unique opportunity to differentiate their product and enhance customer experience by integrating telematics technology into their crushing and screening equipment. These machines, which are highly specialized and valued in the hundreds of thousands of dollars, operate in harsh and often remote environments. The setup and tuning requirements for these machines vary from site to site, as no two ores or rocks are identical. Failure to properly tune these machines can result in the final processed material not meeting the desired specification. The cost, complexity, and remote nature of crushing and screening operations made a compelling case for the introduction of telematics. Terex aimed to provide the market with innovative features and add more value to their product.

The client, a security service provider, required a web portal that could manage different user roles and integrate with Customer Premise Equipment (CPE) to manage various services. The portal was expected to offer service desk functionalities and integrate with third-party systems for implementing SMS functionality. The client's customers are organizations that have one or more CPEs and avail different services from the client. The client's business solution is a combination of hardware and software components providing security services and the ability to manage service configurations. The service subscription and service delivery of all office security service-related reports/analysis is controlled from the client’s cloud infrastructure.

Uline, a leading distributor of shipping and packaging solutions in North America, was facing a challenge with its lighting system. The company, known for its customer service, order accuracy, quick delivery, and low prices, needed its facilities to operate at peak efficiency. This included the 3,014 lights in its 800,000 square foot facility in Lacey, Washington. The company's Director of Engineering, Mike McConnell, was tasked with finding efficiency in every corner of the facility, including optimizing light to improve both operational and financial performance. The company had identified a luminaire that fit their needs, but struggled to find a reliable lighting controls provider that could deliver a solution at this scale to meet stringent energy codes and zoning requirements. The lights in the entire facility had to operate as a single system with one interface, adjust to natural lights from the skylights for daylight harvesting, and work with Uline’s existing IT systems. Other providers offered a mix of wired and wireless systems that were complex, hard to install and maintain, and couldn't scale to meet the size of the facility.

Ubisoft, a global gaming company, was facing challenges in managing its complex hybrid cloud and on-premises architecture. The company had adopted Kubernetes for its strategic solution set, but the lack of a formal orchestration strategy led to cluster sprawl. Different teams were working in various environments, including AWS ECS and Docker Swarm, leading to an unmanageable growth of the estate. The company needed a solution that would provide a unified and consistent development methodology, automate basic deployment processes, and manage the entire Kubernetes estate through a single pane of glass. Additionally, Ubisoft wanted to optimize workflows, save time, and allow developers the freedom to develop in their own way.

In commercial buildings, temperature, humidity, and air quality are all important for people's health and productivity. High levels of CO2 inside commercial buildings can cause many health concerns, commonly known as SBS (Sick Building Syndrome). Increasingly sophisticated smart buildings are being developed by nations around the world to improve efficiency, reduce costs, and generally make the environment healthy for residents and business owners. Additionally, under the looming climate crisis, energy prices began soaring last year. The need for building energy usage optimization has never been this urgent.The AI-driven system requires accurate and real-time environmental data for analysts to provide alerts and recommendations to the building operators when sensors show that pre-determined thresholds have been exceeded, or to optimize the building's operation to save money. The existing sensor system functioned poorly with critical problems:Poor SignalThe original solution was based on a techonology with limited signal coverage, up to 60% of sensors onsite were down at any moment.Excess MaintenanceThe original solution was based on a techonology with limited signal coverage, up to 60% of sensors onsite were down at any moment.Extra ExpenseEach Temperature and CO2 sensor required a sim card that generated an extra $500 monthly for each floor.

7-Eleven Philippines, a pioneer of 24-hour convenience stores in the country, was facing challenges with its customer support system. The customer support was outsourced to an external vendor, which resulted in limited visibility into customer query patterns and performance metrics. The company had no transparency into the vendor's analytics and could not validate their reports. They also had no visibility into the volume of calls, number of abandoned calls, etc. due to the use of the vendor’s telephony solution. This lack of control and visibility into customer support led the team to decide to bring the entire function in-house. They began exploring helpdesk solutions that would enable them to build a strong in-house support team.

A technology company faced a significant challenge after merging with another organization, which resulted in the doubling of their third-party ecosystem. Prior to the merger, the company had an efficient third-party program that included an in-house assessment working in tandem with a GRC tool. However, the merger put a strain on this system as the number of third parties in their ecosystem doubled. The company's team was unable to scale their current program to effectively manage their new vendors due to a lack of increase in human resources. The company was in need of a solution that could seamlessly integrate with and scale their process, enabling them to apply the right level of due diligence across their new and expanded ecosystem efficiently.

The multinational manufacturer was grappling with a complex and unmanageable network infrastructure due to the presence of thousands of subscriptions on multiple clouds. The company's network was organized to support innovation across various verticals, but the lack of visibility into the cloud subscriptions posed a significant challenge. The cloud and networking teams needed to manage the allocation of IP addresses and namespaces to avoid conflicts and respond securely to queries across on-premises and the cloud. They also needed to track usage for service health, security, and compliance purposes. However, the cloud service providers (CSPs) were not cooperative in providing the multi-cloud visibility they required.

A leading medical technology company with nearly $20 billion in annual revenue and over 70,000 employees worldwide faced a complex challenge in managing network connections between its medical devices and service staff. The company had recently connected all its devices to the internet for remote diagnostics and updates, but this introduced several issues. Firstly, under the Health Insurance Portability and Accountability Act (HIPAA), all connections between medical devices and the company’s servers had to be encrypted, requiring the creation and management of separate VPN tunnels for over 15,000 field-deployed devices. Secondly, the devices, deployed in various medical centers and clinics, were assigned IP addresses by the network teams of each facility, often without coordination, leading to potential IP address conflicts. Lastly, the company’s network infrastructure, shaped by multiple mergers, acquisitions, strategic initiatives, and partnerships, was complex and difficult to manage, especially with the recent adoption of AWS cloud for much of its internal compute.

MARS Incorporated, a multinational manufacturer, faced significant challenges in digitizing and standardizing processes across its mid-markets globally. The company's reliance on legacy solutions necessitated continuous, time-consuming upgrades and made data compilation and comparison across different regions and business units difficult. Excel spreadsheets were extensively used for forecasting in smaller markets, leading to disconnected processes, siloed working environments, and increased risk of data inconsistencies and inaccuracies in demand forecasting. MARS also struggled with a lack of visibility across its midmarket footprint, scattered critical data across various systems and spreadsheets, a low degree of automation, and insufficient statistical analytics for demand planning. The absence of a standard process for demand planning made it challenging to consolidate KPIs and gain a comprehensive view of demand trends and supply chain performance.

ACCIONA spent significant time and resources manually testing water samples in a laboratory to determine chemical concentrations. Due to the time it took to obtain these results, they were often outdated and unreliable. This resulted inadditional costs related to chemical supply and regulatory penalties.By implementing real-time optimized Machine Learning control algorithms at each of its desalination plants, ACCIONA was able to minimize the use of reactive chemicals, eliminate associated regulatory penalties, and provide an efficient edge infrastructure to implement new applications for predictive maintenance, energy efficiency, sensing, optimization or reinforcement learning.

Cuerva Distribution needed to have real-time data (<1 minute) from the line cells of its substations and fault detectors in order to obtain instant alerts regarding supply quality: surges or drops in voltages or intensity, neutral currents, etc. Traditionally, all these data are processed through SCADA, a rather rigid system which does not allow for custom events and alarms to be configured. Due to software limitations, it took around 15 minutes for the data to transfer from SCADA to a database.

To reduce time to market by speeding up cycle times, and reduce manufacturing and inventory costs, of complex building system automation equipment.

Simplifying maintenanceHana Financial Group had recently consolidated the infrastructure and resources of 11 of its affiliates at a local IBM data centre. However, the business was left with more than 100 service and maintenance contracts that needed to be reviewed and renewed periodically. These contracts also involved 100 separate bills that Hana Financial Group had to manage. Managing such a large volume of bills was cumbersome and sometimes resulted in late payments. The group wanted to improve efficiency and eliminate the overhead involved with managing these contracts by consolidating its heterogeneous IT systems and data storage systems under more consistent processes.

In 2016, Arizona Public Service (APS) decided to enter the California ISO (CAISO) market, which allows them to sell power into the California market. One of their key assets was Sundance, a 420 MW unmanned peaker plant located 50 miles outside Phoenix. The entry into the CA energy market meant that starts tripled and run hours doubled almost immediately at the plant. They started looking for wireless Predictive Maintenance (PdM) system because the running hours were typically when no one was on site, which meant that traditional forms of PdM were not possible. Typically, a specialist would collect vibration and other condition data on equipment, but it had to be taken during operation, and it was difficult to get personnel out to the site.“Reliability was foremost on our minds,” commented Don Lamontagne, Supervisor of Equipment Reliability Engineering. “We faced huge loss of potential revenue, as well as fines if we weren’t able to generate power when it’s needed.”

Using manual assembly methods to mount wheels onto cars in continuous operation is extremely costly for automotive manufacturers. This is mainly because several assembly workers are required to perform the work.