List of StereoLOGIC Process Mining Customers
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Since 2010, our global team of researchers has been studying StereoLOGIC Process Mining customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased StereoLOGIC Process Mining for Process Mining from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using StereoLOGIC Process Mining for Process Mining include: Canadian Imperial Bank of Commerce (CIBC), a Canada based Banking and Financial Services organisation with 49824 employees and revenues of $21.30 billion, Niagara Bottling, a United States based Manufacturing organisation with 7000 employees and revenues of $2.50 billion, Pitney Bowes, a United States based Professional Services organisation with 7200 employees and revenues of $2.03 billion, ivari, a Canada based Insurance organisation with 300 employees and revenues of $989.0 million, Systembind Consulting and IT Services, a Canada based Professional Services organisation with 30 employees and revenues of $6.0 million and many others.
Contact us if you need a completed and verified list of companies using StereoLOGIC Process Mining, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The StereoLOGIC Process Mining customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Canadian Imperial Bank of Commerce (CIBC) | Banking and Financial Services | 49824 | $21.3B | Canada | StereoLOGIC | StereoLOGIC Process Mining | Process Mining | 2017 | n/a |
In 2017, CIBC implemented StereoLOGIC Process Mining as part of an initiative to explore new Robotic Process Automation and Robotic Desktop Automation approaches. The engagement ran proof of concept evaluations alongside BluePrism and Timeline PI, positioning StereoLOGIC Process Mining at the center of candidate identification for automation and process discovery workflows.
The deployment emphasized core Process Mining capabilities, including event log driven process discovery, variant analysis, conformance checking, and cycle time and throughput visualization. StereoLOGIC Process Mining was configured to surface high-value automation candidates and enable root cause analysis of process bottlenecks, aligning analytics outputs with RPA and RDA use case definition.
Integrations during the POC phase focused on ingesting transaction and event logs from banking operations, feeding process models to workflow and BPM controls, and linking outputs to automation pipelines for validation. Operational coverage targeted transactional back office processes and customer servicing workflows, with analytics consumed by process owners and automation teams.
Governance for the effort established POC selection criteria, process owner validation gates, and iterative rollout steps to expand mining use beyond initial pilots. The implementation positioned StereoLOGIC Process Mining to inform RPA and RDA prioritization and to institutionalize event-log driven process analysis within operations and automation governance.
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ivari | Insurance | 300 | $989M | Canada | StereoLOGIC | StereoLOGIC Process Mining | Process Mining | 2017 | n/a |
In 2017, ivari deployed StereoLOGIC Process Mining using StereoLOGIC Enterprise Process Discovery Suite to introduce structured process deviation analytics. StereoLOGIC Process Mining was implemented as a Process Mining capability targeted at identifying process best practices and measuring employee adherence across the insurer.
The implementation centered on an employee score-card process deviation analysis mechanism, combining process discovery, process variant mapping, and conformance checking to surface deviations from identified best practice flows. Configuration emphasized scorecard metrics for task duration, deviation frequency, and process path variance, enabling systematic comparison of employee performance and the detection of longer running tasks.
The deployment was scoped to analyze processes across multiple lines of business within ivari, enabling cross-line comparison and benchmarking of work execution rather than a single operational silo. The approach provided end-to-end visibility into how work moved through processes so analysts could compare performance between employees and process variants.
Governance and process controls were adjusted to use deviation monitoring and employee scorecards as a mechanism to control how employees followed identified best practices. The system enabled root-cause exploration to discover why some tasks took longer than others and to identify sources of inefficiency across monitored processes.
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Niagara Bottling | Manufacturing | 7000 | $2.5B | United States | StereoLOGIC | StereoLOGIC Process Mining | Process Mining | 2019 | n/a |
In 2019, Niagara Bottling implemented StereoLOGIC Process Mining to improve manufacturing operations and workforce planning, deploying Process Mining capabilities to surface constraint-driven decision options. The initiative focused on using event log analysis to support available to promise decision support and workforce optimization across production processes.
Configuration emphasized constraint-based available to promise projection and workforce analysis capabilities, leveraging process discovery, conformance checking, and performance analytics typical of Process Mining to identify throughput limits and capacity constraints. StereoLOGIC Process Mining was configured to model resource availability and to generate scenario-level options for order promising based on operational constraints and scheduling rules.
Operational coverage included cross functional manufacturing and operations teams, with process mapping and validation performed by production planners and workforce managers. The implementation targeted shop floor scheduling, order promising workflows, and headcount allocation analysis rather than back office functions.
Project leadership provided governance and managed project resources, establishing process owners and a regular steering cadence to refine rules and scenarios. The engagement produced explicit financial findings, saving approximately $415K annually through available to promise optimization and identifying $270,000 per year in workforce related savings using Stereologic.
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Professional Services | 7200 | $2.0B | United States | StereoLOGIC | StereoLOGIC Process Mining | Process Mining | 2019 | n/a |
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Professional Services | 30 | $6M | Canada | StereoLOGIC | StereoLOGIC Process Mining | Process Mining | 2018 | n/a |
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