Technology Category
- Analytics & Modeling - Predictive Analytics
- Application Infrastructure & Middleware - Data Visualization
Applicable Industries
- Equipment & Machinery
- Transportation
Applicable Functions
- Logistics & Transportation
- Quality Assurance
Use Cases
- Public Transportation Management
- Transportation Simulation
Services
- Data Science Services
- Testing & Certification
About The Customer
Glanbia PLC is a global nutrition group and a leading cheese manufacturer in the United States. The company has a corporate office for global operations in Downers Grove, Illinois, and European offices in Dublin, Ireland. Glanbia Performance Nutrition (GPN) is a major division within Glanbia PLC, producing a full range of performance nutrition products with broad consumer appeal. GPN is a market leader in innovation and new product development and is a significant revenue generator for the organization. The division's goal is to continue expanding by employing and using 3rd party logistics, including current partnerships with DHL and Transplace.
The Challenge
Glanbia PLC, a global nutrition group and leading cheese manufacturer, was facing a significant challenge in protecting its temperature-sensitive products during transit. The company's Performance Nutrition division (GPN), a major revenue generator, was experiencing growth in its portfolio and product offerings, necessitating the need for new technologies to ensure product safety. In 2019, the company was hit with rail embargos and supply chain disruptions, resulting in product loss. This, coupled with issues of product freezing in cold weather and melting during hotter months, sparked a need for change. The company's goal was to continue expanding by employing and using 3rd party logistics, including current partnerships with DHL and Transplace, while mitigating risks for temperature-sensitive shipments and decreasing product loss due to temperature fluctuations.
The Solution
GPN was introduced to QProducts, a passive thermal solution provider, through talks with Transplace, a third-party logistics provider. This was due to GPN's desire to save on transportation costs and reduce the frequency of utilizing temperature-controlled equipment. QProducts then introduced GPN to Everstream Analytics, a predictive analytics company, and together they created a data-driven solution powered by lane risk analysis, advanced weather forecasting, and shipping environment temperature data from computer simulated temperature modelling. The solution, dubbed 'In Full', integrates directly into GPN’s TMS to provide an equipment recommendation given the exterior ambient temperatures that a planned shipment will encounter along its route. Orders received by Transplace with notations for 'protect from freeze' or 'protect from melt' are now automatically run through Everstream’s In Full solution. This advises when to use thermal pallet covers, a dry van, or climate-controlled equipment, thereby reducing product spoilage, unnecessary spend on climate-controlled equipment, and increasing product quality and overall customer satisfaction.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.

Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.

Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.

Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.

Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.

Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.

Case Study
Data Gathering Solution for Joy Global
Joy Global's existing business processes required customers to work through an unstable legacy system to collect mass volumes of data. With inadequate processes and tools, field level analytics were not sufficient to properly inform business decisions.