We help customers like Jeppesen and GlobeAir free up to 30% of their resources and reduce operating costs by up to 25%, resulting in an increase in profitability of up to 20%.
BoldIQ offers remarkable scheduling technology that will further Jeppesen’s ability to provide industry leading information and planning solutions for our customers in business aviation.
Dr. Stefan Karisch, Director, Optimization and Value Strategy
For 80 years, Jeppesen has been helping aviation professionals worldwide reach their destinations safely and efficiently. Today, they build on those roots by offering an ever-expanding array of innovative informational products, services, and software.
Using the BoldIQ system will enable us to make integrated and informed decisions in real-time so that we can grow our business and provide our customers with world class service.
Bernhard Fragner, CEO
GlobeAir is the largest private jet operator in Europe which offers charter flights at competitive fares, making any business and private travel truly efficient. With the world´s largest fleet of modern Citation Mustang jets, they are certified for landing in more than 1.200 airports all over Europe, including those typically out of the reach of traditional airlines and larger private jets.
Fewer Trucks Used
Reduction in overall miles driven
Less truck drivers used
Decrease in overall operation costs
A leading North American trucking company was looking to overhaul its operations with multiple objectives, including reducing their direct operating costs and reducing their environmental impact.
Operating around 300 trucks, direct and indirect operating costs related to regularly planning, scheduling, and driving across thousands of miles were increasing significantly. Additionally, the company wanted to reduce its environmental impact, mostly due to direct emissions from significant fuel burn, but also from indirect impacts such as tire retreading and other various oils and hazardous materials associated with use-based maintenance of the trucks.
When looking for a holistic solution, BoldIQ stood out as being able to provide real-time optimal plans for the efficient use of resources, resulting in both reduced operating costs and reduced environmental impact. Moreover, creating additional revenue-generating capacity (without capital investment) was an added bonus.
The dynamic operation had a continuously changing demand structure with stringent delivery windows for perishable goods. Moreover there were significant capacity and use constraints for the resources (trucks and unionized drivers). Adding to this were constraints around highways and toll roads, traffic, unexpected mechanical breakdowns and driver no-shows, temporary plant shutdowns, and additional ad-hoc disruptions.
With BoldIQ’s Solver, a unique operations-focused and proprietary optimization engine – the company was able to address its range of requirements. By utilizing sophisticated optimization algorithms and methodologies, the trucking company is able to plan the utilization of its resources more efficiently, as well as manage and recover from disruptions quickly and effectively.
The end result: a real-time operating plan that optimizes the use of resources, minimizing the required resources to meet demand, and minimizing non-revenue legs – in both cases directly reducing unnecessary operating costs, fuel burn, and emissions.
With BoldIQ, the trucking company is able to truly achieve a double bottom line, taking full advantage of their expensive resources.
Reduction in Overtime Pay
Overtime pay was effectively eliminated as a cost center.
In the first year alone, over $150MM in direct costs savings were realized, while service levels were improved.
Increase in Capacity Utilization
Capacity utilization was increased by as much as 50%.
A leading North American national brand needed to improve the performance of its field service workforce and assets. With over 7,000 technicians, hundreds of trucks, and myriad tools, parts and equipment, it was fielding millions of service calls annually.
Management realized that a more responsive scheduling system would improve the bottom line directly by reducing overtime costs, helping abide by union rules and reducing impact of daily disruptions. Sudden vehicle breakdowns, last-minute personnel absences, and longer-than-expected service calls were impacting service as well as profitability.
Importantly, it was difficult to make sure the appropriate resources were dispatched to each call. There were many incidents where service calls had to be rescheduled as the wrong crew, truck, equipment, or some unwelcome combination of those, was sent out in error.
Moreover, the company wanted to improve customer service by reducing overall response time from call to service, as well as by reducing the service window so that customers were minimally inconvenienced.
The company found that Solver was up to the task of the massively complex operation involved in getting all the right resources to the right place at the right time that went beyond just its workforce.
Solver’s unique optimization algorithms and methodologies delivered the basis for optimal capacity utilization, with consideration for all the necessary hard and soft constraints. These included relevant operating and financial elements, including equipment requirements for each call, crew skill sets and union rules, as well as dependencies that existing solutions do not address.
For this national brand, Solver uniquely re-optimized its schedules in seconds and in rapid succession as change requirements and disruptions became apparent, delivering actionable and optimal service planning in real-time.
After implementing Solver into its operations, the company realized a net savings of more than $150MM in the first year as it increased its service resource capacity utilization by as much as 50%.
With Solver, the company increased the capacity utilization of its existing resources to effectively eliminate technician overtime. Furthermore, the company reduced service call response time from a week to two days and was now able to offer a two-hour service delivery window, rather than having customers sit at home for half a day or more.
One of the most impactful benefits for the company was that it could now ensure that the crew with the appropriate skill set and the right truck with the relevant equipment and parts was dispatched to each call.
Importantly, the company became significantly more responsive to day-to-day disruptions which can throw even the most meticulous schedules into disarray. With Solver the schedule is iterated in real-time to mitigate the risk posed by these unavoidable situations.
Simply put, with BoldIQ’s Solver, this national brand improved customer service levels and increased its profitability through optimized capacity utilization and real-time scheduling.
A leading British home health care service had 500 personnel, including a mobile work force of 250 National Health Service (NHS) Projects nurses out on field visits at any one time. Nurses would typically complete three to four visits in their defined regions. Each visit, also known as a ‘service activity’ could last from less than an hour to several hours, depending on patient requirements.
The service was scheduling its workforce manually using lists and spreadsheets. These were managed regionally and uploaded to a centralized Microsoft Dynamics Patient Care Record system. Nurses were provided a list of visits for the next day or two, and each nurse was required to phone patients and sort the order of visits.
Because of the highly manual processes, it was extremely difficult to generate a holistic report of availability and work patterns. Moreover, conflicts and errors were rife, and concerns were mounting regarding the impact on patient care and outcomes as the service was forced to grow and accommodate the aging population demographic it served.
The service also wished to extend its ability to schedule out to three months ahead, rather than the 24 to 48 hours in advance it was currently doing. Additionally, regional boundaries were no longer the focus as changes in the NHS delivery strategy meant that scheduling was to become based on patient location rather than a nurse’s region.
The service found that Solver was an ideal solution to provide a robust and optimized schedule. Solver not only delivered the required automation but also seamlessly interfaced with the existing Microsoft Dynamics Patient Care Record system and with the resource management system.
Customer service was now able to book appointments in real-time, months in advance. Upon referral, automatically utilizing traffic and route data, specific nursing resources were allocated to service activities in real-time based on their type, qualifications and availability. Solver managed disruptions, re-optimizing schedules and updating the other systems as necessary.
With Solver, the service was now factoring in business rules, availability, skills, working patterns, holidays, traffic as well as velocity data and regulatory requirements in real-time during the scheduling process. Importantly, individual nurse activities were automatically tied back to specific patient care records.
For this critical mobile work force service, BoldIQ efficiently automated, optimized, and integrated its scheduling process.
After implementing BoldIQ’s Solver, there were more than 30% in cost reductions. The new automated and optimized schedules addressed the range of complex and evolving demands from the patients, the NHS and the business.
With Solver’s interfaces to existing systems, NHS SLAs were more easily met and reported on, as tying nurses to areas, patients and treatments with varying priority parameters became straightforward. Moreover, consultants and other clinicians were now aware of their patient’s ongoing treatment in real-time. Critically, this integration also meant that Solver provided system-wide KPI reporting to assist management with its nurse efficiency and patient care delivery goals.
To sum up, with BoldIQ’s Solver, this home health care service rapidly automated and optimized a highly manual scheduling process for its mobile work force to include a range of business, regulatory and personnel constraints, measurably contributing to the bottom line as well as patient care goals.