Skip to main content
Industry Solutions

Manufacturing

Field service, IoT integration, predictive maintenance, supply chain

We modernize manufacturing operations with connected field service, predictive maintenance, and supply chain visibility platforms. Our solutions integrate IoT data with Salesforce and AWS to enable real-time monitoring, automated work orders, and dealer/distributor portal management.

58%
Less Downtime
94%
First-Fix Rate
30%
Fewer Truck Rolls
72hrs
Failure Prediction
What We Deliver

Our Manufacturing Capabilities

01
IoT-connected field service management
02
Predictive maintenance with Einstein Discovery
03
Supply chain visibility dashboards
04
Dealer/distributor portal management
05
CPQ & configure-price-quote automation
06
Asset tracking & lifecycle management
07
Warranty management & claims processing
08
Production analytics with Tableau
Real Results

How We've Helped Manufacturing Clients

Predictive Maintenance

Deployed IoT sensors + Einstein Discovery to predict equipment failures 72 hours in advance, reducing unplanned downtime by 58%.

Field Service Optimization

Implemented mobile-first field service app that improved first-time fix rate to 94% and reduced truck rolls by 30%.

Dealer Portal

Built a self-service dealer portal with real-time inventory, automated ordering, and performance dashboards.

Case Studies

Manufacturing Success Stories

See how we've delivered measurable results for manufacturing organizations.

Predictive Field Service for Industrial Equipment Manufacturing
67% reduction
Unplanned Downtime
Manufacturing

Predictive Field Service for Industrial Equipment Manufacturing

Hamill Industrial Technologies

Hamill manufactured and serviced industrial compressors and HVAC systems across 3,000+ commercial sites. Their field service operation relied on reactive maintenance — technicians were dispatched only after equipment failures, resulting in 40+ hours of average customer downtime per incident. Scheduling was manual, parts inventory was managed in standalone systems, and technicians lacked mobile access to service history, manuals, and parts availability.

Service CloudField Service LightningData CloudEinstein Discovery
Read Case Study
IoT-Connected Smart Factory with Predictive Quality Management
4.8% → 1.2%
Scrap Rate
Manufacturing

IoT-Connected Smart Factory with Predictive Quality Management

Apex Precision Manufacturing

Apex operated four production facilities with 120 CNC machines and injection moulding lines producing aerospace-grade components. Quality defects were detected only at end-of-line inspection, resulting in a 4.8% scrap rate and $3.2M in annual rework costs. Machine downtime averaged 14% due to reactive maintenance, and production supervisors relied on paper-based logs with no real-time visibility into line performance or OEE metrics.

Salesforce Manufacturing CloudAWS IoT CoreAmazon SageMakerAWS Timestream
Read Case Study
Supply Chain Analytics and Dealer Portal for Industrial Equipment Manufacturer
18 → 6 days
Order-to-Delivery Cycle
Manufacturing

Supply Chain Analytics and Dealer Portal for Industrial Equipment Manufacturer

TitanWorks Industrial

TitanWorks sold heavy industrial equipment through a network of 180 authorised dealers across North America. Dealers placed orders via email and phone, had no visibility into inventory or lead times, and frequently over-ordered to hedge against stock uncertainty. The company's supply chain team managed 4,000+ SKUs in spreadsheets, with no demand forecasting beyond gut instinct. Order-to-delivery cycle time averaged 18 days, and dealer satisfaction scores had dropped to 62%.

Salesforce Manufacturing CloudExperience CloudMuleSoftEinstein Analytics
Read Case Study
Technology Stack

Built With Leading Platforms

Field ServiceEinstein DiscoverySalesforce CPQAWS IoTTableauMuleSoft

Ready to Transform Your Manufacturing Operations?

Let's discuss how we can deliver industry-specific solutions tailored to your unique challenges and goals.