Applied Intelligence Briefing

Edge Analytics / Applied Intelligence Briefing

Case study

Optimising forecourt operations through automated data intelligence

A major UK forecourt retailer converted existing pump data into an automated daily process and reporting solution, reducing downtime and flow issues and enabling predictive maintenance.

Client
UK forecourt retailer
Platforms
ADEPT
Purpose
Operational intelligence

Automated intelligence for faster maintenance decisions

Image extracted from the Optimising forecourt operations through automated data intelligence applied intelligence briefing.Detail image extracted from the Optimising forecourt operations through automated data intelligence applied intelligence briefing.Detail image extracted from the Optimising forecourt operations through automated data intelligence applied intelligence briefing.Detail image extracted from the Optimising forecourt operations through automated data intelligence applied intelligence briefing.

How can daily pump data become faster, actionable operational intelligence?

Context

Across a large network of staffed and unmanned forecourts, pump uptime and flow are critical to customer service and commercial performance. Existing pump operational data is not yet being used to generate actionable intelligence.

Requirement

Capture and report pump performance reliably each day, identify unavailable or underperforming equipment quickly and accurately and reduce dependence on manual monitoring and site-level checks.

  1. 01

    Automated process

    Secure cloud-based solution to process daily pump-level data with light-touch data integration requirements.

  2. 02

    Performance exceptions

    Identified non-operational pumps and abnormal or reduced flow rates consistently and cost effectively across the network.

  3. 03

    Operational reporting

    Presented network and site-level reports through Power BI so teams can prioritise intervention and inform service management.

Daily data for operational action

DAILY

01

Faster detection

Reduced the time between a pump issue occurring and operational teams becoming aware of it.

02

Prioritised response

Focus maintenance attention on the sites and pumps with most need and improve service provider SLAs.

03

Predictive foundation

Created data depth and associated analytics to support preventative and predictive maintenance approaches.

Existing pump performance data became a direct lever for increased availability and service

Automated daily monitoring improved responsiveness, reduced manual collation and created a scalable foundation for increasingly sophisticated performance management.

DISCUSS AN OPERATIONAL-DATA CHALLENGE

Generating operational data that is not yet fully exploited? Explore how automated data capture and analytics can turn it into faster decisions and measurable value.
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