Auto Trader, the UK’s largest digital automotive marketplace, faced a significant challenge when transitioning from print to digital. The company wanted to empower its employees to make data-driven decisions and provide insights to their retailers and consumers. The shift to digital generated a massive amount of data from various online interactions, which everyone, from internal teams to automotive retailers to consumers, was eager to access and use for better decision-making. In 2018, Auto Trader embarked on a journey to modernize their tech stack, centralize data, and provide self-service access to trusted metrics. The company needed to satisfy the data demands of both their internal stakeholders and external users. Retailers wanted to understand how much their cars were worth to consumers and how their ads were performing. Consumers wanted to find the right products by being served up ads relevant to their search. However, the existing data management system became a bottleneck, and new issues arose around how to make personally identifiable information (PII) secure and compliant.

autoRetouch, a Germany-based company, provides an automated image processing platform for fashion image producers worldwide. The shift to e-commerce has increased the demand for high-quality product images, which often require edits such as background removal and skin retouching. For retailers with hundreds of product lines, manually editing each image to perfection is a time-consuming and costly process. autoRetouch aimed to revolutionize this process by making it more time- and cost-effective. However, to train and run the models for its custom-developed machine learning algorithms, autoRetouch required powerful CPU and GPU processors that need to be available on demand. The platform had to be available around the clock and scale from processing a few images to hundreds of thousands, in seconds.

AVEVE Group, a Belgian agricultural supplier, was facing challenges in coordinating its diverse businesses spread across more than 50 companies and 400 locations. Each of these companies operated independently, running its own administrative processes, leading to a siloed work environment with little communication between different parties. This lack of a unified platform for information and resource sharing was hindering productivity and efficiency. AVEVE Group was looking to centralize and standardize its processes, requiring a robust platform for collaboration. The company also aimed to shift from individual bookkeeping to a shared service center for managing finances for the entire group, necessitating increased inter-company communication.

Blockchain.com, a leading cryptocurrency software company, was facing significant challenges in managing its large databases. The company's primary products, Blockchain Wallet and Blockchain Explorer, required complex calculations on hard-to-access data across vast databases. As the popularity of cryptocurrencies grew and the company expanded to cover other cryptocurrencies such as Ethereum, Bitcoin Cash, and Stellar Lumens, securely maintaining these databases became a major undertaking with significant resource overheads. The company was spending a lot of time and resources on maintaining and managing its infrastructure, which was affecting its ability to focus on domain-specific challenges and deliver a peerless user experience across all products.

Alpred SL, a Spanish information services company, faced the challenge of transforming a traditional print newspaper, Estadio Deportivo, into a sustainable, digital sports media brand. The company aimed to create a free, continuously updated, 100% digital sports news platform for Spanish-speaking sports fans worldwide. However, the existing infrastructure of Estadio Deportivo was entirely on-premise, and its content management system (CMS) was designed for both print and online versions, which was obsolete and no longer fit for Alpred's purposes. The company was dealing with constant setbacks, errors, and outages, which made it difficult to manage. Moreover, the sports world moves fast, and Estadio Deportivo’s services needed to be constantly available and handle considerable traffic peaks, especially on match days.

Breuninger, a luxury department store in Germany, was facing a challenge with its complex IT landscape. The company was fragmented into many departments, each with their own technology stack focusing on their own use cases. They had on-premises databases and other systems such as SAP, all gathering different types of data for different business units. This dispersed IT landscape made it difficult for the company to make the most of its data. Furthermore, the company's online storefront, which brought in a significant 30% of sales in 2018, presented exciting opportunities with data. However, to optimize the website and make the online customer experience smoother and more tailored to individual shoppers, Breuninger needed to get its data on track.

DOEE identified intelligent retention as an important option for limiting wet-weather discharge, storing water on-site for use, and informing future improvements to District infrastructure.

The police forces in the German federal state of Lower Saxony were facing challenges in fighting crime and improving traffic flows due to the lack of efficient use of information from various sources. The existing systems stored information about suspects, incidents, victims of crime, and traffic accidents in several systems, making it difficult for officers to gain an overview without consulting multiple data sources. This process was time-consuming and inefficient. Moreover, the technical demands for analyzing and evaluating incidents had increased over the years, necessitating a more advanced business intelligence solution. The police force needed a solution that could provide officers with individually compiled reports about specific locations and types of crimes in near real-time, supported by a unified, consistent event processing and evaluation system.

Mata Capital, a French real estate fund management company, was facing challenges in distributing fund shares and maintaining its investor registry. The traditional processes were cumbersome, costly, and relied heavily on paper-based systems. The company was also grappling with substantial administrative costs, especially for small investment tickets for Know-Your-Customer (KYC) and registration activities. This resulted in high minimum investment subscription amounts, limiting the pool of potential investors. Furthermore, investors had limited access to secondary markets, making it difficult for them to trade assets as required by their portfolio allocation strategies. Mata Capital sought to modernize and optimize these processes, with a long-term vision to reduce minimum investor subscription amounts from €100,000 to €1, thereby attracting a wider and more diverse pool of investors to real estate asset investments.

In the highly competitive real estate industry, timing and location are everything. Houses can be sold before they're even officially listed, making it crucial for real estate agents to connect with potential buyers as quickly as possible. The challenge faced by real estate agents was the manual and time-consuming process of downloading leads from Facebook and uploading them to their Customer Relationship Management (CRM) systems. This repetitive task was not only tedious but also inefficient, as it had to be repeated every week or even every day. Moreover, the agents were not able to respond to the leads in real-time, which could potentially result in lost opportunities.

Arla Foods, the fifth-largest dairy company in the world, faced significant challenges with its data management. The company had a complex, spaghetti-like structure of data systems, each with unique upkeep and management challenges. The cost of maintaining these systems was growing, and employees were spending more time managing the systems than gaining insights from the data within them. The company had thousands of different applications, but none were transferable, creating a highly inefficient set of siloed solutions. Furthermore, the company was using Microsoft Power BI as a visualization tool, but without proper data architecture, the tool quickly became overloaded and began to fail. The company recognized that its current process was not working and set out to find a solution that would both save it money and move its business forward.

Jacobs Douwe Egberts (JDE), a global coffee and tea company, faced a significant challenge in the wake of a malware incident in 2017 that caused a computer outage across Mondelez’s global operations, resulting in losses of €100M. This incident served as a wake-up call for JDE to implement a robust cybersecurity program to protect its operational technology (OT), including the industrial control system (ICS) environment across its factories worldwide. The advent of Industry 4.0 has led to increased interconnectivity in manufacturing environments, making them more vulnerable to cyberattacks. Traditional IT security measures were no longer sufficient to protect JDE's manufacturing operations. The company needed a comprehensive overview of all cybersecurity risks and vulnerabilities across its factories, including all operational technology computing systems used to manage the entire industrial operation.

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.

Blackstone, a leading investment firm, faced a significant challenge in managing its third-party cyber risk. With a rapidly growing business, a robust vendor ecosystem, and a portfolio of over 100 companies, Blackstone needed a solution that could efficiently and effectively manage its third-party cyber risk. The existing risk management program, initiated in 2012, was based on spreadsheets and phone calls, which was not scalable to keep up with the 4 to 6 new vendors coming on board every month. This challenge was not unique to Blackstone, as their entire portfolio of companies shared the same issue. The companies were using different methodologies to support their risk programs, there was a lot of overlap among common vendors being assessed by multiple companies, and findings from assessments were rarely shared.

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.

Stagecoach Group, one of the world's largest public transport groups, was facing a significant challenge in improving the sustainability of its operations. The company, which operates approximately 8,400 buses across the UK and carries around 2.5 million passengers daily, had set a goal to significantly reduce its fleet transport CO2 emissions by 3%. However, achieving this ambitious aim was proving to be difficult. Stagecoach needed a solution that would not only help it meet its emission reduction goals but also reduce fuel consumption, decrease vehicle wear and tear, and enhance passenger comfort and safety. To address these challenges, Stagecoach turned to GreenRoad, a provider of driver behavior and fleet performance management solutions.

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.

UBS Arena needed cabling and connectivity solutions that would support sophisticated sound systems, a 5G network, a distributed antenna system (DAS), New York’s largest scoreboard and two levels of high-resolution LED ribbon boards.The venue’s network infrastructure needed to support these types of connected technologies as well.The wireless network would need to support the seamless connection of tens of thousands of devices in the venue’s completely cashless environment. 

Nikko Chemicals, a specialty chemicals manufacturer in Japan, was facing several challenges in its cloud operations. The company was struggling with the time-consuming integration of logs from disparate sources, which resulted in restricted operational visibility. There were also security concerns related to cloud migration and the management of Software as a Service (SaaS) applications. Additionally, the company had limited manpower and resources for managing its cloud infrastructure. These challenges were hindering the company's business continuity strategy, which aimed to run a secure, scalable, hassle-free, and fully visible cloud operation.

The customer, a national grocery retailer with over 1,900 stores across 20 well-known banners, was facing a significant challenge in centralizing energy management due to the multiple divisions, disparate building management systems, and a large variety of hardware in their portfolio. The customer had a series of public energy commitments aimed at reducing their carbon footprint. They required a solution that would provide real-time visibility into the performance of their refrigeration, HVAC, and lighting systems at the equipment level across their enterprise. They also needed to achieve energy reductions that would meet corporate ROI requirements, proactive maintenance processes on identified energy and building efficiency opportunities, the ability to validate energy savings through a Measurement & Verification (M&V) process, and the ability to integrate multiple IoT data points into one centralized platform.

GumGum, a company that uses artificial intelligence to determine the context of a webpage and match targeted ads, faced a significant challenge in managing its computing infrastructure. The company's proprietary AI services required a large volume of computing infrastructure with variable demand. While AWS cloud was a solution, the costs were high, especially for AI workloads using GPU instances. The company's success led to rapidly increasing costs in line with the demands on their highly scalable infrastructure. The demands were cyclical, with ad serving varying throughout the year. At peak times, GumGum's Ad Server application received over 18 million requests per minute, requiring more than 130 AWS virtual machines to be provisioned. The company's costs grew to around $120k per month for EC2 on just one of their four Ad Server data centers. GumGum needed a solution that would help them use spot instances, save money, be easy for limited staff to use, and guarantee uptime.

Disruptive Interactive, a game development company, was seeking to create a unique 2D multiplayer game for iOS and Android platforms. The game, named Lohko, was envisioned as a blend of classic snake and chess games, with the added complexity of artificial intelligence (AI) and multiplayer functionality. The main challenge lay in designing a natural multiplayer experience and building a robust AI with several distinguishable difficulty levels. The AI needed to be capable of calculating probable outcomes and predicting possible scenarios, thereby increasing the game's difficulty as players improved their skills. Disruptive Interactive needed a reliable development partner to implement this high-quality solution quickly and efficiently.

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 Fortune 500 industrial supply company, was facing challenges with its existing on-premise data solution. The company needed to manage large amounts of data, including inventory-related costs, across multiple departments. The existing solution was causing significant overhead costs due to the hiring of on-site consultants for development and support. The company was looking to reduce these operational costs and migrate the solution to the cloud to make it more scalable and cost-efficient. To achieve this, they needed a reliable offshore development partner with extensive big data expertise.

While launching the product, the client was looking for a partner to outsource the entire software product development process to complement their audio and product engineering competency. The client reached out to Mindtree as their partner of choice to engineer the whole gamut of desktop, web, and mobile applications that help their users to interact with the device.The primary functions of the applications were to enable:The system integrator to configure the product as per the meeting room’s specificationsEmpower IT, admins, to remotely manage the networked devicesFacilitate end-users to customize the device configuration to suit their meeting experience.

The client, a leading provider of electric vehicle (EV) charging stations operating in the USA and multiple other countries, was looking to expand their business to the EU market. However, their expansion was hindered by their legacy systems, which had become inefficient and difficult to support. The outdated systems were slowing down the company's growth and competitiveness in the market. The client needed to modernize their existing systems and develop new solutions to facilitate their expansion into the EU market.

The client, a leading global audio streaming platform with millions of active users, was facing challenges in improving the service quality of their platform. The platform, which provides a wide range of services including live radio stations, music streaming, podcasts, news coverage, and sports games broadcasting, needed to be more user-friendly across all supported connected devices such as Amazon Alexa, Google Assistant, etc. The client also wanted the platform to handle high volumes of requests simultaneously, especially during peak times. The platform was available across 200 connected devices, including web, mobile, voice assistants, home sound systems, smart TV, gaming consoles, and smartwatches. The growing customer base necessitated an improvement in platform usability and efficiency in handling high amounts of requests.

The client, a global enterprise and one of the world's largest companies delivering IoT devices and services, faced a significant challenge. They needed to modernize and expand the functionality of their legacy IoT device and asset-tracking SaaS platform. The existing system was an on-premise architecture that was inefficient and incurred significant costs. The client aimed to improve the platform's efficiency and user experience, optimize costs, and accelerate time-to-market. The platform, a hub for IoT devices supporting industrial protocols, manages connected devices and transmits their data to third-party services like SAP and Salesforce. The need for modernization and migration to the cloud was crucial to meet the client's objectives.

PrettyLittleThing, a UK-based fashion retailer, was experiencing rapid business growth and expansion into new markets. This growth presented a challenge as the company needed to become more effective at matching the needs of their quickly increasing customer base. To achieve this, they needed to develop, scale, and improve several software solutions. The company aimed to scale existing software products, add new features, and ensure their solutions' high performance and security. This would help them effectively match the needs of the growing customer base, resulting in higher customer satisfaction, retention, and attraction.

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.