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Optimizing Pharmaceutical Sales Force Activities: A Case Study of Pfizer Japan - Nomadia Industrial IoT Case Study
Optimizing Pharmaceutical Sales Force Activities: A Case Study of Pfizer Japan
Pfizer Japan, a branch of the world's largest pharmaceutical company, was faced with the challenge of optimizing its sales force activities. The pharmaceutical industry employs medical representatives (MRs) who are key contacts between the industry and the medical profession. They are responsible for promoting their companies' major products directly to General practitioners (GP) and hospital doctors via face-to-face meetings or medical presentations. These representatives work in assigned territories, the size and geography of which vary according to companies. Most GPs and hospital doctors have an appointment system for seeing medical representatives. With many other companies trying to see the same customers, it was essential for the medical representative to be well organized and plan appointments in advance. Pfizer Japan was looking for a solution to reach a higher number of successful visits while lowering its cost, with the aim to cover almost all medical facilities in Japan.
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Optimizing Real Estate Diagnostics with IoT: A Case Study of Allodiagnostic and Nomadia - Nomadia Industrial IoT Case Study
Optimizing Real Estate Diagnostics with IoT: A Case Study of Allodiagnostic and Nomadia
Allodiagnostic, France’s leading real estate diagnostics company, faced a significant challenge in optimizing the movements of its 150 real estate diagnosticians across the country. With over 400,000 diagnoses required throughout France each year, the company aimed to reduce mileage and time on the road for its field experts. The goal was not only to save costs but also to improve the working conditions of the mobile teams while increasing their productivity. The company also wanted to leverage geo-optimization to facilitate online appointment booking. To sustain its high growth rate, Allodiagnostic needed a real-time, continuous, appointment scheduling optimization tool that could integrate all its business constraints while maintaining its agility and flexibility.
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Optimizing Field Technician Scheduling with IoT: A Bubendorff Case Study - Nomadia Industrial IoT Case Study
Optimizing Field Technician Scheduling with IoT: A Bubendorff Case Study
Bubendorff, a company specializing in electrical rolling shutters for the past 50 years, was facing a significant challenge in optimizing the scheduling of its field technician rounds in France. The company, which offers an exclusive free warranty on parts, labor, and travel, had been making service routes since 1998. Initially, they had 9 technicians who divided the territory among themselves. However, by the early 2000s, callouts were running at approximately 15,000 per year. The era of paper-based routes and disparate tools was no longer sustainable. Bubendorff needed a comprehensive, reliable, and ergonomic solution that would allow it to fully leverage cartography to optimize the management of scheduling appointments for its field technicians.
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Optimizing Home Deliveries with IoT: A Case Study of C Chez Vous and Opti-Time - Nomadia Industrial IoT Case Study
Optimizing Home Deliveries with IoT: A Case Study of C Chez Vous and Opti-Time
C Chez Vous, a subsidiary of the CASINO Group, is a 'last mile' delivery company that primarily manages the home delivery of CDISCOUNT products weighing more than 30 kg. With 45 delivery platforms in France, 500 withdrawal points distributed throughout the territory, and 300 to 400 daily home deliveries, the company handles over a million deliveries and 1.5 million point withdrawals per year. As the company experienced strong growth, it became crucial to establish a centralized and automated appointment booking and home delivery workflow, including electronic delivery notes. The company also needed to optimize volume-driven appointment scheduling in real-time. With several hundred thousand products to deliver, C Chez Vous required a tool that could integrate into its information system and account for all necessary delivery parameters, such as the product's nature, its size, the deliverymen’s capabilities, the service's nature, and the client's location.
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Optimizing Sales Staff Sectors: A Case Study of Daytona and Nomadia - Nomadia Industrial IoT Case Study
Optimizing Sales Staff Sectors: A Case Study of Daytona and Nomadia
Daytona, an international outsourced sales agency, faced a significant challenge in managing and optimizing its sales staff sectors. The company's activities required it to allocate its staff as rationally and as close as possible to the sales outlets in question, taking into account their place of residence. Previously, Daytona France used an in-house territory management tool hosted at the offices of its parent company, Cosine, in England. However, this arrangement was not ideal as sector definition was entrusted to English colleagues who were not necessarily aware of project specifics. The lack of local expertise and familiarity with French geography made it difficult to construct coherent sectors. Furthermore, not being in control of the territory management software was a significant hindrance, prompting Daytona to seek a local tool for end-to-end project control.
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Optimizing Field Sales Operations: A Case Study of SODIS and Nomadia - Nomadia Industrial IoT Case Study
Optimizing Field Sales Operations: A Case Study of SODIS and Nomadia
SODIS, a subsidiary of the McCormick Group and a major field marketing player, was facing challenges in managing and optimizing the routes of its 150 field sales promoters who cover the whole of France. The promoters were organized into 20 regional teams and made more than 120,000 store visits a year, covering a distance of around 5 million kilometers. The company was seeking to optimize these routes to reduce mileage and time spent on the road, thereby increasing efficiency, productivity, and working comfort. Additionally, SODIS needed accurate and relevant data to respond efficiently to the objectives of the Ducros and Vahiné brands and offer their customers the best quality service. The call schedules were initially generated from the sales staff’s experience of the ground, but SODIS wanted to automate route planning and obtain a comprehensive analysis of the information on field sales promotion staff movements.
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