WonderBiz | Industry 4.0 Services & Case Study

Predictive Maintenance

Log analytics • Edge & cloud • AI-powered insights

Predictive Maintenance helps prevent that. It uses data, sensors, and analytics to predict when a machine might fail, so maintenance can happen just in time, before things break down.

At a glance

  • Moved from reactive fixes to predictive maintenance using continuous equipment monitoring.
  • IoT sensors, edge data capture, cloud analytics, and ML-based anomaly detection.
  • Integrated sensor data with existing systems and delivered dashboards with real-time alerts.

About Services

Custom software development for Predictive Maintenance

What is Smart Sensors

Predictive Maintenance helps prevent that. It uses data, sensors, and analytics to predict when a machine might fail, so maintenance can happen just in time, before things break down

Our Expertise

At WonderBiz, we worked on a solution that uses log data from Distributed Control Systems (DCS) to spot early warning signs and find the root cause of issues. It’s a smart way to turn everyday log files into useful insights about equipment health.

Our Solution

As an offshore software partner, we help our customers build their own predictive maintenance systems with ease

Case Study


Predictive Maintenance Tool based on device log

Customer: Schneider • Domain: Data source: DCS logs • Team: 12 • Timeline: 18 months

After a set of initial successes, the R&D team at Schneider Electric had envisioned a different type of product that would lead into Predictive Analytics for a plant depending on data coming in from various Control Systems. This was a very different concept and very risky to pull off for various technical and non-technical reasons. The Product Team at Schneider needed a complete Engineering team - someone who’d be able to own the product completely.

Customer Challenge

  • Concept to Product for Log Analytics
  • This new concept for making prediction out of data coming from Device Logs. Needed AI powered analytics.

What We Did

  • WonderBiz took complete product ownership
  • Understanding high level requirements & generating multiple solutions, along with working prototypes, iterating & developing.
Kelvin PCP Visualization Dashboard

30 monthsPhase 2 in Production
6Core team
Development Speed*
On TimeDelivery*
*Based on stakeholder feedback and project metrics.

Outcome

Product is now market ready.And is undergoing post-dev readiness activities like System Test, Packaging and Tech Doc & Market testing.

Case Study — Predictive Maintenance 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.
Predictive maintenance dashboard

Predictive maintenance dashboard for HVAC assets

18%Energy savings*
40%Alarm noise ↓*
99.9%Uptime
4 moMVP delivery
*Representative of pilot-period results.

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.

Highcharts

Interactive, performant charting library for dashboards and time-series visualisations.

Charts Time-series Interactive
Best for visual analytics & dashboards
GoJS

Diagramming library for building interactive flowcharts, graphs and topology visualisations.

Diagrams Topology Interactive
Best for graphs, flows & system diagrams
Microsoft Graph API

Unified REST API for accessing Microsoft 365 data and integrating identity, files and communications.

REST API MS 365 Integration
Best for enterprise integrations & connectors
Wireshark

Network protocol analyser for packet inspection, troubleshooting and forensic network analysis.

Packet capture Analysis Forensics
Best for network debugging & packet analysis

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." " ”
Customer Profile
Bhaskar Sinha Director - Innovation Lab, Schneider Electric
Technical Testimonial
Case Study 2 — Predictive Maintenance

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." .”
Customer Profile
Facility Ops – APAC Head of Technical Operations

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
We reply within 1 business day.
© WonderBiz Technologies
Industry 4.0 • Edge IoT • AI