30% less quality-related waste across five plants
For Bridor, quality is at the heart of every product. Across its manufacturing sites, teams produce breads and pastries for customers ranging from hotels and airlines to cafés and grocery stores.
On a busy production line, quality depends on the people watching it. Bridor’s teams were already taking careful measurements. The opportunity was to get those measurements to the right people sooner, while they could still make a difference to the run.
Working together, Bridor and Ingeno put production data to work across five North American plants. The result was 30% less quality-related waste.
30%
Less quality-related waste
19
Production lines
5
Plants in Canada and the United States
- Category
- Manufacturing
- Scope
- 19 lines across five plants in Canada and the United States
- Platform
- Sentinelle, AI-driven quality monitoring on AWS
/ The challenge
See deviations sooner
Bridor’s operators entered quality measurements into digital forms, and teams checked them through periodic manual reviews. Production continued between those reviews. When a measurement drifted outside its limits, more product could be affected before the right person saw it.
As operations grew, Bridor wanted a consistent way to identify deviations across sites. The goal was to give teams the information they needed to act faster, while keeping the forms and routines they already used.
/ The solution
Turn measurements into action
Ingeno adapted Sentinelle, its AI-driven quality monitoring platform on AWS, to Bridor’s production lines and quality limits.
About every five minutes, Sentinelle checks new measurements against those limits. AI and statistical analysis help identify trends and flag drift. When a measurement falls outside its limits, supervisors, production managers and quality assurance teams receive an automatic alert, grouped by production line.
Teams can access alerts through mobile and web applications, while in-plant screens show line status at a glance. Operators continue to use their existing digital forms.
Ingeno built the solution around the people on the floor. The team spent time with Bridor’s production and quality teams, shared findings with senior leadership, validated the platform on site after the pilot and refined it based on user feedback.
“The UX research carried out by Ingeno gave us a clearer reading of user needs and of the operational issues to consider as the platform evolves. This approach allowed us to base our decisions on concrete findings and to move forward with greater clarity and confidence.”
/ The result
More time to protect the run
Quality-related waste carries the cost of ingredients, energy, labour and finished product that may never reach a customer. Catching deviations earlier gives teams more opportunity to intervene before a run is affected further.
Sentinelle is now in production on 19 lines across five Bridor plants in Canada and the United States:
- 30% less quality-related waste
- Deviations flagged within minutes of data entry
- Existing operator routines maintained
- Shared quality limits and practices across connected facilities
Ingeno operates and monitors the platform on AWS. Historical trends were added in 2026, giving teams another way to follow quality over time.
The win: Bridor’s teams can act sooner, using the measurements they already collect and a consistent quality standard across five plants.
“Bridor’s team was impressive. We were proud to support them with AI that helps people act sooner on quality drift and waste. This project showed what’s possible when technology amplifies the expertise already on the production floor.”
