Featured Case Study

Custom Application Development • Manufacturing Industry

Field Service Sales Automation Platform Transformation

How we helped a leading field services company evolve from a recommendation engine to a comprehensive sales automation platform, reducing data entry time by 80% and eliminating manual errors across 200+ field technicians.

Published: January 15, 2025  •  Financial Services Industry

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Key Results

80%

Data Entry Time Reduction

From hours to minutes per site

5x

Field Efficiency Gain

Complete 3-4 sites daily

100%

Error Elimination

Zero manual transcription errors

The Challenge

Our client, a $10-50M field services company with over 200 employees serving multiple metropolitan markets, approached us with a CEO-driven vision to automate their sales process. The company needed to modernize how they identified service opportunities and managed field operations.

Key pain points included:

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4-hour deployment windows causing business disruption

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Manual scanning of customer databases for service opportunities

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No intelligent prioritization of profitable service calls

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Fragmented data across multiple systems and spreadsheets

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3-4 hour site assessments with 80-100 manual data points

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Triple data entry causing errors and inefficiencies

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Triple data entry causing errors and inefficiencies

Our Solution

We implemented a phased approach that evolved from the initial vision to address real-world adoption challenges, ultimately delivering a comprehensive field service automation platform.

1. Intelligent Recommendation Engine

Integrated multiple APIs including equipment databases, serial number lookups, and utility rebate programs to automatically identify high-value service opportunities based on efficiency ratings and available incentives.

2. API Integration Framework

2. API Integration Framework

Connected equipment specification APIs and rebate databases to provide comprehensive unit data, efficiency metrics, and real-time incentive calculations for field equipment.

3. Field Service Automation

Pivoted from pure manual to a hybrid approach with mobile field tools, enabling technicians to capture 80-100 data points digitally with photo documentation and instant database synchronization.

4. Comprehensive Sales Platform

4. Comprehensive Sales Platform

Expanded beyond recommendations to include automated proposal generation, scope of work creation, labor and product cost estimates, and complete sales documentation workflow.

Expanded beyond recommendations to include automated proposal generation, scope of work creation, labor and product cost estimates, and complete sales documentation workflow.

Phase 3: Migration & Testing (Months 5-8)

Gradual migration of services, comprehensive testing, and performance optimization.

Implementation Timeline

Phase 1: Foundation & Discovery (Months 1)

High-level business requirements gathering, external API validation, and initial recommendation engine development with iterative CTO collaboration.

Phase 2: Stakeholder Engagement (Month 2-3)

In-person workshops, test site deployment for stakeholder review, and team demonstrations to gather critical feedback.

Phase 3: Migration & Testing (Months 5-8)

Gradual migration of services, comprehensive testing, and performance optimization.

Phase 3: Platform Redesign (Months 4)

Complete system redesign based on field feedback, expanding from recommendation engine to full sales automation platform with proposal and estimate generation.

Phase 3: Platform Redesign (Months 4)

Complete system redesign based on field feedback, expanding from recommendation engine to full sales automation platform with proposal and estimate generation.

Phase 4: Field Tool Development (Months 5-6)

Development and deployment of mobile logging tools, training programs, and workflow optimization for field technicians.

Results & Impact

The transformation delivered significant operational improvements.

1. Performance

Operational Efficiency

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80% reduction in data entry time

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5x increase in daily site completions

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Complete elimination of transcription errors

1. Performance

Process Transformation

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Single-entry data system replacing triple manual entry

Process Transformation

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Single-entry data system replacing triple manual entry

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Real-time database synchronization

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Automated proposal and estimate generation

Pivoting to address actual field workflows resulted in immediate performance improvements. Technicians now complete 3-4 site assessments daily instead of 1-2, with back-office data processing reduced from hours to minutes.

Project Details

Industry

Manufacturing

Company Size

200+ employees

Project Duration

12 months

Team Size

3 engineers

Services

Custom Application Development

Technologies Used

AWS Docker Ruby on Rails GitLab CI PostgreSQL External APIs

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