BluePrint Automation (BPA), a global leader in end-of-line packaging automation, was facing challenges with its sales and marketing operations. The company was relying on Excel spreadsheets for data storage and email for lead tracking, which was not only inefficient but also led to unsatisfactory outcomes. The lack of a centralized customer data system was hindering effective customer interactions and relationship building. Manual data entry was consuming more working hours than the actual selling process. BPA, which primarily uses a relationship-based selling approach, realized the need to rethink its operations. The company aimed to reduce human error, optimize customer communication, and automate all stages of the buyer’s journey.

Lumen, an automotive manufacturer, was grappling with several operational challenges. The company was heavily reliant on manual processes, with the exception of their purchase order requests. They were also struggling with a hard-to-use legacy system, which was so cumbersome that they had only managed to launch one form in three years. Additionally, their data was dispersed across various locations, making it difficult for stakeholders to access and analyze it in a consolidated manner. Lumen also desired to connect applications and kick off sub-processes using information gained from other processes, a capability their existing system did not offer.

As a solopreneur, Vanessa Prothe, founder of Speak English with Vanessa, faced the challenge of managing multiple roles in her business. She was not only the CEO but also the marketer, salesperson, customer support, and engineer. Her primary goal was to focus on developing courses and connecting with clients, not learning how to code or build tools. As her business grew, she found it increasingly difficult to manually manage tasks such as enrolling students, adding them to mailing lists, and processing payments. The challenge was to find a solution that could automate these tasks, allowing her to focus on her core business of teaching English as a second language.

In the fast-paced world of startups, efficiency is key. Squared Up, an application mapping and monitoring solution, was no exception. The startup was faced with the challenge of scaling their processes without increasing their budget. The team was stretched thin, with everyone handling multiple roles, including sales. The main challenge was managing and nurturing new leads without a dedicated sales team. The company needed a solution that would allow them to automate their processes, particularly in managing new leads, issuing trial licenses, recording information, and sending nurturing emails throughout the trial period.

WeShape, a leading consultancy specializing in DevOps, Digital, Data, and Cloud solutions, was facing a significant challenge in terms of its environmental impact. As a company operating in the digital technology sector, it was becoming increasingly difficult to ignore the environmental commitments. According to the United Nations Environment Programme, digital technologies are responsible for 2 to 3 percent of global emissions. WeShape was keen to establish a positive narrative in the industry and encourage other companies to follow suit. The company was also aware of the anticipated market changes in the dependability of carbon-reliant operations, making these adjustments imperative. As the conversation around Corporate Social Responsibility (CSR) continued to grow, WeShape wanted to invest in responsible change and measure its commitments.

AUDI AG, a leading global car manufacturer, was facing stiff competition from low-cost manufacturers developing their own brands. To stay ahead, Audi aimed to create super-efficient business processes. The company had implemented SAP® ERP to manage various aspects of its business operations, from human resources and cost control to supply chain and plant maintenance. Over time, the SAP environment had expanded to around 100 separate systems, running on 12 HP servers with Oracle databases and an additional 24 HP blades. Audi wanted to improve its IT efficiency to reduce capital and operational costs and create a greener infrastructure, aligning with the company’s sustainability strategy. The company also aimed to increase the availability and performance of its SAP systems, making them more scalable and flexible. The IT Services Department at Audi was tasked with helping the company face several broad business challenges, including increasing demands from employees, customers, and suppliers; the need to support new technologies; rising cost pressures; and growing competition.

Pampers, a leading brand in the baby care industry, was facing a significant challenge in retaining customers as their babies grew and transitioned between different nappy sizes. The growth and development of every baby is unique, and Pampers needed to play a unique role in helping parents navigate these changes. The brand was struggling to maintain its position as the definitive choice for every parent during the early years of their child’s life. The challenge was to develop a new CRM strategy that would increase loyalty to Pampers products at key transition stages in a baby's life.

The company, a major financial and leasing provider, was grappling with the challenge of managing over 27 million records across two legacy systems - Microsoft Dynamics NAV and Target. The presence of a large number of duplicate records was affecting business operations and increasing overhead costs. The simultaneous running of both systems was causing slow processing speeds and necessitating an increase in staff. Furthermore, the company was facing compatibility issues among the legacy systems, platforms, and databases. The daily management of critical data assets was often met with these compatibility issues, further complicating the situation.

Marty Rollinger, the Director of Flight Operations at a small, privately held company based in the United States, was faced with the challenge of ensuring the company's Dassault Falcon continued to have access to US airspace in 2020 amidst looming mandates. His role involved overseeing all flight department activities, including scheduling, maintenance, training, security, and customer satisfaction. The challenge was to find a comprehensive solution that would not only meet the mandates but also provide additional safety features for the aircraft.

AkzoNobel, a Dutch paint and coatings leader, was facing challenges in improving the performance and productivity of its factory in Como, Italy. The company was using traditional methods of monitoring the performance of the machines involved in creating the powder coatings, which involved manual data recording with pen and paper every 15 minutes. This method was not only time-consuming but also inefficient in providing real-time data. The company also faced resistance from its factory floor operators, especially the older ones, who were apprehensive about the introduction of new technology and the changes it would bring to their work methods. The company needed a solution that would not only improve its data collection and analysis but also be user-friendly for its operators of all ages.

At present, the field of automotive intelligent manufacturing is facing two major difficulties and pain points:First, the production line equipment is prone to failure and has a serious impact. Once the current production line equipment is shut down due to a fault, it will affect the production rhythm and reduce the output, or cause production stoppage in the worst case, causing huge losses to the manufacturer. Monitoring the performance status of production equipment and predicting faults is the key to ensuring the reliability of equipment to achieve normal production and operation.Second, it is difficult to realize automatic and flexible production changeover for traditional single-production lines. The traditional multi-variety manufacturing needs to build a separate line, the cost of production line construction is high, and the new product launch cycle is long, and it is increasingly difficult to adapt to the requirements of multi-variety, variable batch, equal emphasis on research and production, and mixed-line production mode.

S’More, a next-generation dating app, was facing challenges in creating personalized experiences for its users. The app, which focuses on creating meaningful relationships based on common interests, opinions, and values, was looking for ways to keep its existing customers engaged while also creating a great onboarding experience for newcomers. The challenge was to reach the right customers with the most relevant message at the time and channel that is most convenient for them. The app was also looking to capture the uniqueness of each individual with the right data and insights to connect in a more meaningful way. The goal was to enhance the customer onboarding experience with personalized flows, which would encourage customers to complete their profiles and prevent churn.

Patient cost savings are attributed to the fact that GDI is not owned by a hospital network. To drive superior quality of service and patient care, in 2017 GDI embarked on an enterprisewide ‘data-driven initiative’. GDI sought to set a financial and operational course to leverage consumption and usage of analytics for its biomedical engineering teams with machine data analytics to achieve true predictive maintenance on the imaging machines as well as drive superior patient care through deep analysis of its physician referral networks.

Qrypt Inc., a leading data-security company, was facing a challenge in managing an increasing number of high-value assets such as desktop computers, laptops, printers, televisions, electronics testing equipment, portable media devices, and phones. With the company's growth, the need for a more efficient and accurate inventory tracking system became essential. The company was also looking to eliminate the use of outdated manual spreadsheets for inventory management. The challenge was to find a solution that could effectively manage all their assets and efficiently track inventory.

LEO L’assistente Virtuale, an advertising agency based in Venice, Italy, was tasked by a local fitness center to create a Halloween campaign to generate more leads for monthly memberships. The fitness center had previously relied on Facebook for leads, but a decrease in engagement on this platform led to a decline in memberships. Acquiring new members is a significant challenge for fitness companies, and traditional modes of communication like email and phone calls were proving less effective. The agency needed to find a more engaging and effective way to communicate with members and prospects to drive new sign-ups for the fitness center.

The global pandemic has put an unprecedented strain on the healthcare industry, particularly on the medical supply chain. One of the most critical needs has been for ventilators, which are expensive and time-consuming to manufacture. The Open Source Ventilator Project, a global coalition of engineers, designers, and medical practitioners, rose to this challenge by creating low-cost Field Emergency Ventilators (FEVs) using 3D-printed components. However, the project faced significant challenges in terms of collaboration and coordination. With over 3000 volunteers from different companies, individual engineers, medical device designers, and programmers from all over the world, the project required a platform that could facilitate seamless collaboration and sharing of PCB designs.

Vasiliy Karpitski and Alexei Dulub, entrepreneurs and blockchain enthusiasts, identified a significant challenge in the rapidly growing NFT market. The NFT market, which hit $17.6 billion in sales in 2021, has attracted a large number of creators, businesses, and investors. However, the rapid growth of the market has also led to an increase in scams and fraudulent activities such as blacklists, wash trades, and duplicates. This has made it difficult for NFT buyers, creators, and businesses to make quality investment decisions and avoid risks. To address this challenge, the entrepreneurs decided to develop a smart solution that would help NFT investors make informed decisions by providing them with actionable data on NFT collectibles, their provenance, and ownership.

A global electronic commerce and cloud computing company was facing significant service issues on its leased dark fiber, which interconnects their global data centers and transports all network services and applications for their customers. The company was experiencing several network outages due to fiber breaks, which affected many of their customers who could not access the website or their applications. The company's dark fiber vendor was often slow to dispatch a technician to troubleshoot the network, sometimes taking hours or even days. The service troubleshooting and restoration was so poor in some areas that the company decided to find their own fiber monitoring solution to quickly pinpoint issues and push dark fiber vendors for faster mean-time-to-repair (MTTR).