usecase

Risk analysis on temperature among distribution circuit for Nestle Purina

Trackers

Data points

Different countries

A specific risk analysis request with a tight schedule

In May 2020, one of the major players of the agribusiness industry, Nestle Purina wanted to assess the risk of exposure to high temperatures during distribution circuit, to monitor the risk of quality drop on its products (nutritive values of the food being sensitive to high temperatures). This assessment requires a tracking of transportation temperatures (dynamic trackers being fixed with pallets of products or installed in trucks) and also of storage points, with static trackers installed in hubs. 

One of their main needs was the rapid deployment of the solution. Indeed, the schedule was tight, an early launch of the study would enable to adress a complete time period, as high temperature might occur in Europe from May. It was necessary to rely on a company that could react quickly and efficiently while meeting their expectations as well as possible.

After weighing out many options, the company choose Safecube IoT solution for several reasons. Firstly, twofold expertise, on both supply chain and IoT. Secondly, the ability to deploy quickly a customised solution. And then, a pre-analysis of results aiming at identifying actionable levers to secure temperature among the distribution circuit in Europe.

A large aggregation of data at a very detailed level

A first IoT tracker deployment phase has been done. More than 700 trackers have been placed in trucks, pallets or trailers. Then, the second phase of data capture allows to aggregate more than one million data points.
We recorded the temperature both during journeys when the products were in transit and at intermediate distribution points. In whole, temperature data inside 550 storage locations have been recorded.
Another result of the study was the correlation between indoor and outdoor data, based on the data collected every hour for 3 months.

A first level of analysis to provide actionable insights

A significant added value of the solution is the preconisation-oriented approach, in addition to the availability of raw data measured by trackers: During all the study length, reportings were available, with weekly updates, to analyse risk levels, based on data collected. Including key figures such as time exposure to high temperatures every day, % of measures over a threshold temperature, split of temperature overruns by geography / hour of the day.
At the end of the study, some actionnable preconisations were made (for instance, give priority to morning deliveries)

Temperature tracking to create a variety of values

Beyond a quality issue, the correlation between geolocation and temperature creates, value for the customer in different ways. This use-case is a first approach to answer to a quality challenge. In this case, the customer’s aim was to be able to monitor the maintenance of the quality of his goods. But value creation can be multiple for this kind of data capture. For instance, to be able to refine its transport plan, to have visibility on the state of its flows in real-time, or to have proof of the level of compliance with the customer, etc.