MindArk, a renowned PC game developer, wanted to expand its reach by creating a cross-platform mobile solution. They aimed to develop a strategy game with city-building elements, turn-based battles, and appealing game art. The game, named ComPet, was envisioned to allow players to collect and train pets, participate in quests and battles, and defend their villages. The client also wanted to link ComPet to their successful multiplayer game, Entropia Universe, by including some of its characters. Furthermore, they wanted to enhance the user experience with features like real-time weather effects and an efficient game admin system for smooth operations post-launch.

SportsVTS, a US-based company that creates simulated reality training experiences, aimed to develop a VR solution that would enable players to minimize the injury risk and maximize their performance by training in virtual reality. The primary business goal was to create a realistic training simulation to enable a quarterback to master various techniques within a controlled environment and improve his playing ability without the risk of injury. The challenges included developing an AI component to maximize user experience realism, using full-body 3D scan for highly-detailed and hyper-realistic character models, applying corrective BlendShapes for recreating the player’s skeleton and body, using Locomotion Extend System to allow the player to access any part of the field smoothly, developing the character customization system based on real NFL players, tracing the ball trajectory to re-create it with maximum accuracy, integrating the experience with VR hardware, and developing functionality for setting 21 other players on the field.

The client, a Global Fortune 100 multinational engineering and technology company, was facing challenges with its existing logistics platform. The platform was used to manage goods and materials across its 400+ warehouses in over 60 countries. However, the platform had several flaws and was unsuitable for further scaling. The monolithic architecture of the platform made it inefficient and difficult to scale. The client had a vision to refactor the legacy platform but lacked the comprehensive in-house expertise to address the technical issues and make the platform more efficient and scalable. The client needed a solution that would streamline inventory management for more warehouses and improve the efficiency of internal logistics.

Boohoo Group, a leading British online fashion retailer, faced significant challenges due to rapid growth and acquisition of other retailers. The company needed to modernize several internal systems used for warehouse management and tax calculation to maintain efficiency. The existing systems were causing data discrepancies and issues in product tracking. Additionally, a lot of data was stored in Excel files and had to be processed manually, which slowed down operations and increased expenses. The company aimed to automate these manual processes and modernize the existing solutions to boost their efficiency.

Metinvest Holding, a global steel and mining company, was facing challenges with its enterprise content management. The company needed to streamline its processes and chose OpenText Extended ECM, an SAP-endorsed solution, as its enterprise content management platform. However, implementing this solution and integrating it into the SAP environment was a complex task. The company's IT arm, Metinvest Digital, partnered with an independent OpenText integrator, N-iX, to help with the implementation. The main challenges included performing a comprehensive system audit, redesigning the tech infrastructure and solution architecture, analyzing and refactoring the source code, migrating users from the old system to the new one, and training users on how to effectively use the system.

Fluke Corporation, a US-based company that manufactures, distributes, and services electronic test tools and software for measuring and condition monitoring, was facing several challenges. The company needed to improve visibility into asset condition and ensure high performance, customization, and scalability of its solutions. They also needed to ensure seamless integration with CMMSs such as SAP, Emaint X4/X5, and IBM Maximo. The company was also looking to transform its products into multi-tenant applications, making them cloud-native, and ensuring high security for SaaS applications. Additionally, Fluke Corporation was facing challenges in establishing effective communication and cooperation with other remote teams of the client and ensuring rapid integration of Fluke products with a number of new CMMSs.

The client, a rapidly growing brokerage firm in Canada with over $20B in assets under administration, was facing a challenge with its trading solution. The existing mobile app, which was the core of its brokerage business, was not meeting the increasing needs of its two main user categories: investors and advanced traders. The app offered the same functionality for both types of users, making it too complicated for ordinary investors and insufficient for professional traders. The client decided to replace it with two separate mobile apps to better cater to the needs of these different user groups. Additionally, the company was looking to expand its market reach and needed a reliable technology partner to launch new solutions.

The client, a leading car dealership company in the UK, was facing challenges with their warranty data management. The process was manual, involving a lot of paperwork and was time and cost consuming. The warranty claims were made in the form of paper documents and processed manually, which often led to errors and missing forms. The client was looking for a technology partner to help them design and develop a scalable cloud-based warranty solution to automate the process and eliminate unnecessary paperwork.

The client, a leading luxury store chain operating in over 100 countries, was facing challenges with their product demand forecasting process. The process involved a significant amount of manual work, with all sales-related data being kept in Excel tables and calculated manually. The client's merchandising and planning experts used a demand forecasting web application to make estimations of customer demand over a specific period of time. The solution calculated historical data and other analytical information to produce the most accurate predictions. However, the client wanted to improve the efficiency and effectiveness of this process, making it faster, more accurate, and less complicated for their employees. They sought to unify all processes under an intuitive UI.

The client, a leading provider of a wide range of tax services to thousands of clients in nearly 100 countries worldwide, was facing a challenge with their property tax calculation services. These services were mostly completed manually with the help of Excel sheets. As their business grew and the number of customers increased, these calculations started to incur substantial amounts of time and effort. The manual process was not only time-consuming but also led to additional operational expenses. The company needed to automate this process to maintain their efficiency and keep up with the growth.

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. 

Debeka’s IT monitoring monitors both the critical IT infrastructure with more than 4000 VMs and critical applications and services, e.g. customer applications. Debeka IT is the basis for core applications of the insurance business. In the event of critical disruptions, it is, therefore, necessary to respond promptly and 24/7.Before the introduction of Enterprise Alert, Debeka used a solution developed in-house. In order to reduce maintenance and servicing costs and to avoid having to use its own capacities for further development, Debeka opted for a purchased solution. The solution had to be flexible enough to take over the existing processes, but also offer additional functions and be future-proof. In addition, the product should have a GUI.

Automotive special-shaped parts (engine camshafts, crankshafts, automotive interior parts IP, ID and other components) are characterized by irregularities, and difficulties such as reflective curved surfaces cause machine vision intelligent detection problems. The development of intelligent detection technology for such products in China is relatively slow. At present, more than 90% of the special-shaped parts production enterprises still remain in the manual visual inspection method. However, manual visual inspection is slow in detecting complex defects and has poor reliability (such as manual visual inspection of camshafts, skilled quality inspectors need 2-3 minutes per piece).

Sky-Futures, a company specializing in drone-based industrial inspection services, was in need of a workflow management system. The system was to process images and videos captured by drones during oil rig inspections. The primary objective was to make equipment monitoring more cost-effective for oil companies. The challenge was to develop a system that could efficiently manage and process the vast amount of visual data captured by the inspection drones, and provide a platform for automated order, document, and digital asset management.

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.

SAP was looking to launch its HANA Enterprise Cloud (HEC), a preeminent infrastructure-as-a-service (IaaS) solution. The challenge was to find an infrastructure partner that could deliver significant improvements in processing speed, product time to market, and security that SAP customers were expecting. SAP needed a solution that would allow its customers to quickly, easily, and inexpensively run and support SAP HANA applications. Furthermore, the solution needed to be flexible enough to respond quickly to platform changes or technology innovations. SAP also wanted to streamline its customers' cloud adoption by eliminating the need for them to purchase or manage extra storage infrastructure.

DemystData, a New York-based software company, is dedicated to demystifying data for its clients, particularly financial institutions. Despite the increasing use of data in the financial sector, it is still heavily underutilized, leading to business decisions being made based on suboptimal or incomplete data. DemystData aims to close this gap by providing clients with access to new and more data. However, as datasets grow larger and data sources become more varied, the complexity increases, leading to more time-consuming work for the limited pool of data science resources at the company. The challenge was to manage this increasing complexity and workload without compromising the quality of data analysis and insights.

DigiCert, a provider of scalable TLS/SSL and PKI solutions, was facing challenges in securing their AWS environment. They were already using Imperva’s SaaS Web Application Firewall (WAF) to protect their on-premises applications, but their existing DDoS mitigation solution on AWS was not satisfactory. The solution was excessively scrubbing traffic and blocking legitimate traffic. As DigiCert's business is subjected to daily attacks, they needed a robust security solution that could manage risk, monitor all traffic, rapidly identify threats, and only allow valid traffic to access their applications. They wanted a solution from a single provider that could deliver both WAF protection and DDoS mitigation across their entire hybrid environment. The solution also needed to lower false positives, assure rapid response to minimize potential business interruption, and automate as much of the security process as possible due to time and resource constraints.

The customer, a US-based industry leader in lighting technology, had developed a proprietary wireless mesh networking protocol for their IoT-led outdoor lighting systems. These systems were used in various settings such as parking garages, airports, restaurants, and roadways. However, the functional testing of each wireless network for these diverse IoT devices became complex and adversely impacted the customer’s scalability and cost-effectiveness. The challenge was to build a test strategy that automated testing of their wireless outdoor lighting product line while sustaining the quality of their high-performance solutions.

Carlsberg UK, a subsidiary of the Carlsberg Group and the UK’s fourth largest brewer, was in need of a web-based Monitoring & Targeting (M&T) System for multiple plants and distribution depots throughout the UK. The brewery sought a system that could import and calculate weekly KPI data against targets for multiple utilities including gas, water, and electricity. It also needed to analyze production data and calculate plant efficiency. The system had to manage data imports from a wide range of meters to incorporate complex production procedures in place across the brewing process and be intuitive for non-technical users. Additionally, Carlsberg UK required an energy solution to distribute a range of use alarms and average usage alarms automatically via email and display hourly dashboards at the department operator level to monitor usage during different operational states.

The organization, a leading provider of integrated logistics solutions, was facing several challenges in its quest to become the top player in its field. The company, which is one of the largest wind and solar energy logistics players, was struggling with managing complex Over Dimensional Cargo (ODC) operations. They were also looking to consolidate all their divisions, functions, service offerings, and capabilities to achieve a high standardization and interoperability level. The company was in need of a solution partner who could accommodate and support their expansion into other logistics segments. Additionally, they were seeking a solution that would support their goal of bringing innovation to the logistics industry, which would help in delivering cost-effective and modern technology-driven solutions.

The challenge faced by the engineering design software provider was to build a new compliance program from scratch, start earning revenue quickly, and expand to multiple geographical markets. The company had never systematically instrumented its products to identify piracy, and wasn’t at all confident that it understood the magnitude of its problem. Like many software companies, it had relied primarily on anecdotes, speculation, and tips from disgruntled employees, but it had no reliable data to set priorities for enforcement, or to pursue specific infringers. The company needed a solution that could provide reliable data and help them pursue leads in different markets.

A Global 50 Consumer Packaged Goods (CPG) company was facing significant challenges with its North American truck shipments, averaging 25,000 per month. The company lacked a system for real-time monitoring of inventory in-transit, leaving operation team members in the dark about real-time disruptions and unable to prevent or mitigate late or non-delivery for their customers. The company's new strategic cross-docking network was underperforming due to inaccurate inbound Estimated Time of Arrivals (ETAs), which reduced the number of goods that could be cross-docked. The company's Transportation Management System (TMS) and Enterprise Resource Planning (ERP) systems were not receiving real-time information and rarely received shipment plan updates. Consequently, the company had to employ hundreds of people to manually update ETAs by making check calls to carriers, drivers, and customers. This manual process was not only time-consuming and error-prone but also latent, with disruption reports often received well after they occurred.

Central Hudson Gas & Electric Corporation, a utility company servicing a 2,600 square-mile area in New York, was facing the challenge of transitioning away from a traditional distribution model to accommodate the growing push for renewable energy. The company had a long-term vision that aligned with the state’s commitment to sustainability, but the transition was not as simple as flipping a switch. The utility company needed to ensure quality and reliability as demand evolved. The introduction of their distributed generation program, part of New York State’s energy plan, brought new possibilities and incentives to customers but also introduced a few challenges. The utility company needed to ensure they had the right level of visibility and control over their grid, especially with the introduction of Distributed Energy Resources (DERs), small-sized power generation units that attach to the grid and enable the utility to introduce renewable energy sources, such as solar power.

Mercedes-Benz Research & Development India (MBRDI) was seeking an automation solution for their newly inaugurated state-of-the-art facility in Bangalore, dedicated to Learning & Development. The facility, named 'Gurukul', includes training rooms, meeting rooms, quiet areas, and in-house banquet halls, all designed with a focus on occupant needs and experience. MBRDI wanted a system that would enhance the occupant's experience by improving thermal (temperature and air quality) and visual (lighting) comfort, providing tailored occupant experiences, and empowering the facilities team with visibility into their energy consumption and HVAC & Lighting systems. The system also needed to have remote management capabilities and contribute to energy savings and carbon footprint reduction.

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.

City Property, one of South Africa’s leading residential and commercial property management companies, faced significant challenges in managing its extensive portfolio and customer base. The company's operations were primarily manual, with a lack of automation in customer service processes and workflows. The outbreak of the pandemic further heightened the need for automation to improve the management of ticket enquiries across various channels and enhance the overall customer service experience. The company's most significant portfolio is residential apartment management, with a customer base comprising individuals, families, and businesses. The bulk of enquiries received were from individuals looking for residential or business space. The company had three teams, commercial, retail, and residential, focused on the specifics of each area of leasing. The customer service side served existing customers. The global lockdown during the pandemic outbreak posed a significant challenge as City Property’s operations were highly office-based, and the staff was not equipped to work from home. This situation severely impacted customer service, as the flow of information and agent productivity took a hit. The lack of automation, increase in WhatsApp enquiries, and just three agents handling all customer support tickets led to longer turnaround times and a significant drop in Net Promoter Score (NPS).

Dineout, one of India's largest restaurant tech platforms, was facing challenges in managing its customer service operations. Initially, the company relied on shared inboxes and a small team to manually handle communications. However, as the organization grew and began processing $800M worth of transactions for its partner restaurants, the need for a more systematic solution became apparent. The team aimed to create customer experiences as memorable as the dining ones. The challenge was to find a solution that could help them interact with customers effectively, provide quick resolutions, and offer a personalized service experience.

Diversey, a global hygiene company, was facing significant challenges with its customer support system. The team was using email and email groups to interact with both their customers and employees, which led to a loss of context, confusing threads, and difficulty in establishing who was working on which query. This lack of organization and accountability often resulted in teammates working on the same query. The customer support team was dealing with clogged up inboxes due to high volumes of mail and phone calls, repetitive tasks due to the lack of automations, a lack of customer history, zero transparency into customer queries, and loss of context and customer queries. There was no portal for customer/agent interaction, making it impossible to route queries/problems to the right person, and ticket resolution times were long. The quality and effectiveness of their service were being affected by unanswered emails/calls/chats, delayed responses, and a lack of reporting.

Eastern Washington University (EWU), a comprehensive regional public university in Cheney, Washington, faced several challenges with its IT services. The university, which has a total enrollment of 12,633 students spread across multiple campuses and online, was struggling with legacy platforms, lack of end-user adoption, visibility and ownership of service requests, and scalability. The IT team at EWU was tasked with ensuring the on-time availability of technological facilities and services across all the campuses. However, the incumbent on-prem SolarWinds and ServiceNow solutions were not meeting the university's needs. The team was looking to modernize and scale the campus IT services, moving from on-premise to cloud-based solutions. The objective was to improve agent and end-user adoption and extend the solution instance across campus partners, departments, and other offices.