Field Evidence (ELFS)

Field service and dispatch operations often suffer from data fragmentation between sales quoting tools and CRM platforms. Field Evidence bridges this gap by acting as a high-performance middleware and data synchronization engine built natively on Google Cloud Platform.

At its core, the platform leverages intelligent, event-driven automation to ingest raw data from spreadsheets (e.g., Excel & Google Sheets) and enterprise quoting systems (e.g., AutoQuotes), programmatically transforming it into structured Deals inside HubSpot and other CRMs while eliminating manual data entry.

Challenges we ran into

Balancing strict data compliance with frontline operational speed was a primary hurdle. We needed to ensure that field anomalies or data discrepancies didn't block or frustrate field technicians while still maintaining total administrative accuracy.

Accomplishments that we're proud of

• Architecting and deploying a robust backend data-synchronization engine natively on Google Cloud Platform without relying on clunky third-party automation tools.
• Designing an intelligent background validation pipeline that applies silent automated flags for location mismatches instead of breaking the user's workflow.
• Seamlessly bridging disparate enterprise software ecosystems (AutoQuotes, Google Cloud, and HubSpot).

What we learned

We gained deep insights into designing resilient event-driven cloud architectures and optimizing non-blocking asynchronous validation logic for field service environments.

What's next for Field Evidence (ELFS)

Expanding the platform's autonomous capabilities by integrating advanced Gemini-powered agentic logic to proactively analyze field patterns, predict scheduling bottlenecks, and automate complex exception-handling across enterprise CRM data pipelines.

Built With

• apis
• crmintegrations
• data-extraction
• gcp
• or-dynamic-interaction-scripts)-apis-/-crm-integrations-(hubspot
• puppeteer
• salesforce