MailDash case study - AI-assisted shared inbox management
Shared inboxes need triage, not more manual work
USEO built MailDash in 1 month using Bubble.io and OpenAI to scan, categorize, prioritize, summarize, and track shared inbox communication
MailDash - AI-assisted shared inbox management
Shared inboxes need triage, not more manual work. USEO built MailDash in 1 month using Bubble.io and OpenAI to scan, categorize, prioritize, summarize, and track shared inbox communication.
What we did in this project
- Bubble.io product development
- OpenAI integration for email analysis
- Automatic email categorization and prioritization
- Email summarization
- Reminder system for unanswered messages
Project Overview
MailDash is a tool for sales and procurement teams that work on a shared inbox. It helps teams process large volumes of email by automating categorization, prioritization, summaries, and follow-up reminders.
The Problem
Teams working from one mailbox often lose time on manual triage and risk missing important messages. That leads to slower response times and weaker coordination.
The main issues were:
- Important emails getting overlooked.
- Delayed responses due to lack of reminders.
- Low efficiency caused by manual sorting and categorization.
- Poor clarity around response handling in shared inboxes.
The Solution
We built MailDash to reduce manual inbox work and make important communication easier to identify and act on.
AI-based inbox categorization
We used OpenAI to scan and categorize emails based on content and context. This reduced the need for manual sorting in a high-volume inbox.
Priority handling for urgent messages
The application identifies urgent matters and assigns them higher priority, helping teams respond to important items faster.
Faster reading through summaries
We added email summaries so users could review key information more quickly without reading every message in full.
Reminder system for follow-up
MailDash tracks waiting time for responses and reminds users when action is needed, reducing the risk of missed follow-ups.
"MailDash has become an essential tool in our daily work. Thanks to it, our team can focus on key tasks instead of managing the inbox. Response time to important messages has significantly improved, which our clients have noticed and appreciated.
Tech Overview
Bubble.io was chosen because it allowed fast delivery, and OpenAI was essential because the product relied on content-based email categorization, prioritization, and summarization. The tech stack directly supported the product’s time-to-market and functional scope.
Business Benefits
Less time spent on inbox handling
A 30% reduction in email handling time and an average saving of 2 hours per employee per day.
Fast launch path
The product went from zero to commercial launch in 1 month.
Built for real operational volume
An average of 300+ processed messages per day, proving the tool handles production-level workloads.
Further development
Future plans include further AI expansion, integrations with CRM and project management tools, personalization, and mobile support.
Conclusion
We built MailDash as an AI-assisted inbox management tool for teams working in shared mailboxes, using Bubble.io and OpenAI to automate sorting, prioritization, summaries, and reminders.
The project delivered measurable results in reduced handling time, daily time savings, and launch speed.
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