Overflowing inboxes are often buried in information that’s necessary. Inbox Miner surfaces trends and key threads instantly, so executives act on critical information without miss.
Email threads from customers can pile up, creating a response gap. Inbox Miner categorizes and prioritizes tickets automatically, helping support teams resolve issues faster.
Inbound inquiries often get lost in inboxes, delaying opportunities. Inbox Miner pinpoints leads and important messages automatically, so teams never miss a potential deal.
Tracking orders, escalations, and vendor communications manually is time-consuming. Inbox Miner organizes emails into step-by-step workflows for guided and informed operations.
Invoices, approvals, and POs hidden in email threads can slow down financial processes. Inbox Miner extracts and structures this data, making approvals and reconciliation faster and more accurate.
Emails pile up faster than teams can read them, and it’s not just about automation; analyzing the data inside is what actually drives faster decisions across industries and workflows.
Important leads, escalations, or anomalies slip through unnoticed, leaving sales, support, or operations reacting late instead of competing the market.
Emails and attachments hide critical business data, customer feedback, approvals, invoices, or potential leads that remain invisible in unstructured text until missed opportunities hit.
Teams often handle multiple IDs at once, spending hours each day shuffling inboxes and copying data, time that could be better spent solving problems or seizing high-value opportunities.
Without proper email analytics, it’s impossible to measure message volumes, track patterns, or enforce SLAs, leaving teams reactive instead of proactive.
Inbox Miner extracts subjects, body text, metadata, and attachments from all your emails. It handles PDFs, Excel files, and inline data easily, turning communication threads into structured information ready for analysis.
Emails are automatically categorized by type, leads, orders, escalations, invoices, or support requests. AI and NLP under Inbox Miner models detect intent and sentiment, so the system understands context, not just keywords.
Parsed email data flows directly into BI dashboards, CRMs, or ERP systems. Teams get live visibility into email processes, eliminating manual touchpoints and delays.
Email volumes, response times, trends, anomalies, etc, you get hands-on monitoring access for all via role-based dashboards custom for CFOs, operations teams, and chat support staff.
Integrate Outlook, Gmail, or enterprise email servers with enterprise-grade security. InboxMiner connects directly; no manual forwarding or copy-pasting required.
Next, it reads email subjects, body text, and attachments using built-in AI and NLP models. PDFs, Excel sheets, and inline data are all processed automatically, turning datasets into information that’s skimmable.
Then, incoming or stacked messages are mapped to categories, leads, invoices, orders, escalations, or support requests. Context, intent, and sentiment are detected to ensure accurate classification for every email thread.
Extracted and classified data flows into Google Sheets, a data lake, or your CRM/ERP system. Teams gain real-time access, eliminating manual tracking and delays.
Finally, Role-based BI dashboards for C-suites, operations, and customer teams are created and shared in order to ensure insights are live and actionable.
DataToBiz is a Data Science, AI, and BI Consulting Firm that helps Startups, SMBs and Enterprises achieve their future vision of sustainable growth.
DataToBiz is a Data Science, AI, and BI Consulting Firm that helps Startups, SMBs and Enterprises achieve their future vision of sustainable growth.