🚀 Completed a Customer Support Ticket Management System project in HubSpot CRM. As part of my CR...

🚀 Completed a Customer Support Ticket Management System project in HubSpot CRM. As part of my CR...🚀 Completed a Customer Support Ticket Management System project in HubSpot CRM. As part of my CR...

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Margaret Eneware

• Jul 19

🚀 Completed a Customer Support Ticket Management System project in HubSpot CRM.

As part of my CRM learning journey, I created and managed support tickets, assigned priorities, tracked ticket statuses, and linked tickets to customer records and companies.

This project helped me understand how customer support teams organize requests, track issues, and improve customer experience through structured workflows.

#HubSpot #CustomerSupport #CRM #TechLearning #CustomerSuccess #OpenToWork

Customer Success HubSpot

Parshvi Jain

• Jul 19

AI-native mini CRM backend for reaching D2C shoppers. Two FastAPI services that share nothing at runtime and communicate over HTTP only:

crm_api/ is the main CRM: ingest, segments, campaigns, AI endpoints, and the receipt callback API.

channel_service/ is a stubbed messaging channel: it simulates delivery outcomes and calls back into the CRM receipt API.

The product bet is explainable AI: every AI output ships with the reasoning that produced it, so a human can verify the decision before acting on it.

FastAPI AI Engineer Backend Development Frontend Development Python

Cameron Perry

• Jul 19

Custom built CRM dashboard within Google Sheets that adjusts via automation to stay up-to-date based on incoming data.

Data Visualization Virtual Assistance Google Gemini Google Sheets

Mohsen Sajjadi

• 1d

Nice build. The most valuable part of a spreadsheet CRM is when it stays synchronized with operational data automatically. Once reporting, follow-ups, and pipeline health update without manual edits, Sheets becomes a surprisingly effective decision layer for early-stage revenue...

Galih Priambodo

• Jul 19

I build a complete RAG-powered customer support system using Telegram, Supabase, Gemini AI, Cohere Model AI and n8n automation.

My recent implementation achieved: 80% reduction in repetitive support inquiries 50-70% reduction in support operational costs 75-95% faster response times 3-5x increase in support team productivity

The solution includes: Knowledge base from PDFs and SOPs Vector search with Supabase Voice, image, and text support Human handoff capabilities 24/7 support availability

Video : https://youtube.com/shorts/JaUGm7jzATw?si=cQ3oXuK9i361Tshc