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Applied AI + Data Systems

Mailbox Master

Rules and email-native signals narrowed a 956,000-message corpus from an estimated 9.6-year enrichment queue to roughly three days of priority work.

01

Challenge

A 956,000-message archive produced roughly 35,000 unique senders. At the original processing throttle, enriching every sender would have created an estimated 9.6-year queue.

02

Approach

Decision Science Corp used deterministic SQL rules and email-native signals first—two-way correspondence, starred and important messages, frequency, recency and organizational patterns—then reserved model calls for the smaller set that genuinely required inference.

03

Outcome

The priority surface narrowed to roughly 500 high-value senders, reducing the planning timeline from approximately ten years to about three days. This is an illustrative planning estimate based on the documented queue strategy, not a measured completion timestamp.

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