Selecting available assignments in retail stores for users based on external assignments

This system helps people find work by connecting tasks that need to be done outside a retail store, such as a delivery or pickup, with available jobs inside a specific store. It identifies an external task, then selects a nearby store, finds suitable in-store assignments, and offers them to a user. The claims specifically narrow this to offering these assignments to a user, potentially bundled with the external task.

Why it matters: Filed before advanced AI/ML could dynamically optimize assignment matching and personalization. The claims cover connecting external and internal tasks, which is now easier with sophisticated algorithms for logistics and user preference learning.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, location data, matching algorithms.

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