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predictive

analytics

 

Peregrine underwent a smart story initiative, with one of the objectives being the automation and centralisation of business functions wherever possible.


Project Snapshot

Peregrine Corporation

Location:
Adelaide, Australia

Industry:
Other Sectors

Project Challenges

Manual recording of temperatures - time consuming and inefficient, data analysis very slow to get to the maintenance teams.  Service and repair costs high due to no preventative maintenance.

The Solution

Azure IoT Suite automated monitoring and reporting of temperature data along with predictive analysis to determine risk of breakdown.

Results

Significant cost and time savings, staff focused on customer service. Placed real-time data with the maintenance team for immediate follow-up. Huge cost savings realised with proactive maintenance.

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Peregrine Corporation

The Solution

Peregrine’s key goal was to drive automation of historically manual behaviour within the stores and centralise the associated activities wherever possible. The time and costs involved in manually recording data and maintaining the refrigeration system was enormous and consuming valuable company resources; ultimately affecting Peregrine’s ability to compete forcefully in their market.

Peregrine were eager to implement a solution that automated many of the inefficient and costly existing manual processes. Automation would also dramatically improve compliance activities: Implementing an onsite computerised monitoring and reporting tool would also not only ensure more effective accordance with the Code and reduce any breaches, but also reduce the labour efforts and cost of meeting
compliance obligations.

Based on the Azure IoT Suite, Empired’s solution facilitates the automated monitoring and reporting of temperature data, along

with predictive analytics to determine the risk of an asset breakdown. The monitoring and reporting is designed to save significant time and cost by avoiding the need for site staff to routinely record temperatures, and putting real-time data in the hands of the maintenance team for immediate follow-up.

The predictive analytics element attempts to identify trends that predict the risk of asset breakdown, adding further value by recommending action without the need for human intervention.

The Azure IoT Suite is used to ingest, process and store the data, and Empired utilised and tested a third party temperature sensor that was selected by Peregrine from an Australian vendor called Web-ID. AzureML was used to help predict an asset failure risk rating. Empired used a custom built Azure hosted web application to provide an operational portal for Peregrine to surface and maintain the solution. That data was surfaced via PowerBI, providing Peregrine the ability to analyse the
data themselves.

The Benefits

The contrast between the before and after scenario is substantial. With a state-wide rollout of the automation solution, the financial losses from spoilage and equipment breakdowns could largely be a thing of the past, as would the frustrations and inefficiencies experienced by the employees undertaking the essentially futile task of manual data logging.  

The new solution also allows for a systematic and simple approach to adherence to compliance regulations, which facilitates a more accurate and simple process and removes capacity for potentially catastrophic breaches of the Food Standard Code.  

Before the existence of the solution, onsite staff spent a large portion of their work day monitoring and documenting temperature data for the various machines at each retail outlet. With the elimination of an enormously laborious and unproductive process for staff, comes an increase in
employee satisfaction.
 

With more time to spend on the higher value tasks on the job, this enables staff to deliver better levels of service to customers, translating to increased customer satisfaction and loyalty, sales and ultimately profits.

Additionally, Peregrine’s yearly machine maintenance bill has the potential to amount to several millions of dollars. A significant proportion of these costs are eliminated with the existence of the automated solution, as due to the instantaneous capture of onsite sensor data, the maintenance team can reach an at-risk asset rapidly and before a costly full breakdown. This type of preventative maintenance is more cost effective and, as above, reduces the risks of serious asset breakdown and the
resulting spoilages.

These overall business improvements provide Peregrine with the opportunity to focus on the areas that matter; providing customers a superior service and steady future
organisational growth.

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