Assisted Decision Making
Image Processing • Computer Vision • Machine Learning
Assisted Decision Making applications use Image Processing, Computer Vision and Machine Learning to automate repetitive engineering steps and guide teams towards faster, more reliable decisions—while keeping experts in control.
At a glance
- End-to-end product built for Assisted Decision Making
- Image Processing + Computer Vision for Engineering Automation
- JavaScript + .NET + SQL Server + Python + TFS Expertise
About Services
Custom software development for Smart r
What is Assisted Decision Making
At WonderBiz, we’ve worked on assisted decision-making applications that help industrial users work faster and smarter. Instead of the laborious manual process, they provide a fool-proof way of automating or semi-automating the process, making it faster than before.
Our Expertise
In one such project, we used Computer Vision and Image Processing to read and recreate engineering documents automatically, while still giving users the option to review and adjust things when needed.
Our Solution
We also brought together several industrial systems so everything worked smoothly end to end, making the design process quicker and much easier to manage.
Case Study
Assisted Decision Making for Engineering Efficiency
Customer: Schneider • Domain: Manufacturing: smart factory. • Team: 15 • Timeline: 48 months
A group of senior Product Managers at Schneider Electric were given the task of building a small team that would create a set of core technologies to be leveraged and extended for building the innovative Futuristic Applications for Schneider. The team needed to have expertise in the area of Machine Learning / AI / Data Analytics, as well as, have solid experience in building technologies that could be used as kernel-frameworks for multiple applications. A team that would aggressively build the product out - a team that would be able to match the speed that was envisioned. Leaders at Schneider Electric also knew how other partners operated - that was a strict no no. They needed somebody who'd be able to work at the same pace. Also the team had to be multifarious with knowledge in areas such as Machine Learning, Mathematics, Programming, User Experience, multiple programming languages like Python, C#, JavaScript Frameworks, SQL. Clearly, it was difficult to form a team with such varied expertise in a short time. They were to build technologies and applications from scratch where right business problems had to be identified, solutions found and validations performed with users. The team had to be extremely efficient, agile, with a laser-focus on user needs, User Experience (UX) and one that would bring-in original thought-process to solve problems along the way.
Customer Challenge
- Fortune 500 Customer wanted Competitive Advantage
- Automating processing for Engineering using Image Processing & Computer Vision Techniques
What We Did
- WonderBiz was involved from Day 1 of Product corncept
- By fleshing out specs through multiple, iterative discussions with stakeholders, exploring technology choices
Visual interface used for automated engineering analysis and decision support
Outcome
Product is in Beta and will start yielding revenue soon.Stakeholders were thrilled to see the initiative & responsiveness in building this product using new age exploratory tech
Case Study — Smart Factory for Chiller Plants
Customer: Facility Ops (APAC) • Domain: HVAC & Energy • Team: 5 • Timeline: 4 months
A multi-site facilities operator needed a unified edge-first solution to stream real-time sensor data from chillers, detect anomalies, and recommend energy-saving set-points—without risking latency or cloud outages.
Customer Challenge
- Fragmented BMS data and no common data model.
- Manual alarms; frequent false positives.
- Zero downtime tolerance across critical sites.
What We Did
- Built an edge gateway with buffering + offline-first sync.
- Deployed pre-trained anomaly models for chillers and pumps.
- Delivered a role-based dashboard with actionable insights.
Smart Factory dashboard for HVAC assets
Outcome
Sites saw measurable energy reduction and fewer false alarms. The team adopted data-driven maintenance windows, cutting unplanned downtime.
Technology
Chosen for speed, stability, and scale.
Core scripting language for modern web applications, enabling dynamic interactions, animations, and real-time experiences in the browser.
Robust, enterprise-grade framework for building secure web, desktop, cloud, and API-based applications with high performance.
Industry-leading database engine for managing structured data, supporting advanced analytics and transactional processing.
End-to-end DevOps platform for version control, CI/CD pipelines, and project management across teams and workflows.
Versatile programming language used for automation, API development, machine learning, scripting, and backend applications.
Testimonial
“The value that the team brings on to the table is asking the right set of questions and challenging the problem statement. The team has great decision-making capabilities for the good of the product by exploring multiple solutions to a given problem.” The WonderBiz Team has expertise in building applications with seamless User Experience and experience in building Machine Learning based applications. There were multiple instances when the team went beyond to help customers."
Because of WonderBiz, we could launch not one, but several applications to our end users! These applications have now set a new benchmark in providing greater business value." ”
Testimonial
“"WonderBiz did a wonderful job in understanding high level requirements, detailing it out & coming out with multiple solutions, along with working prototypes. All of this, with the speed that was expected from my side. We have received rave feedback for this. The team that WonderBiz provides brings with them passion, creativity and ownership!
Because of WonderBiz, we could launch not one, but several applications to our end users! These applications have now set a new benchmark in providing greater business value." .”
Connect with our experts
A quick discovery call to understand goals, constraints, and success metrics—then map your fastest path to a results-driven pilot.
- Architecture outline & PoC plan
- Timeline, team composition, and cost range
- Transparent scope and delivery milestones