FacilityOS > LogisticsOS > AI Receiving Assistant

AI Receiving Assistant

Receiving is one of the most time‑consuming parts of mailroom and logistics operations. Every label typed, every barcode double‑checked, and every exception handled manually adds friction that slows teams down and introduces risk.

The LogisticsOS AI Receiving Assistant helps teams speed up receiving and sorting by automatically capturing package details from shipping labels using intelligent optical character recognition (OCR).

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Speed Up Parcel Intake And Improve Accuracy with AI

The AI Receiving Assistant modernizes your workflow with a mobile app and a streamlined processing experience. Capture label information instantly, eliminate manual data entry, and route parcels with confidence.

How AI Receiving Assistant Works

Step 1

Receive with Smart Scanner

Mailroom staff scan parcel barcodes using the LogisticsOS Smart Scanner app. A label image is captured instantly at intake, keeping the process fast even during high-volume receiving.

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Step 2

Capture Label Data

Beacon AI extracts key fields from the label, including recipient, tracking number, and carrier details using OCR.

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Step 3

Review, Sort & Assign

Parcel details flow directly from mobile into the LogisticsOS web Smart Processing screen. Staff can quickly review, confirm, or adjust information, handle exceptions, and route parcels with fewer clicks.

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Step 4

Send Notifications

Automatically send notifications via email or SMS to inform recipients when parcels are stored, or ready for delivery or pickup, ensuring real-time communication.

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Step 5

Delivery & Reporting

Transfer parcels to recipients and capture proof of delivery with signatures, ID scans, or photos. Generate detailed reports and visual dashboards to review performance and identify opportunities for improving parcel receiving workflows.

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Who Benefits from the AI Receiving Assistant?

Designed for mailroom and teams managing high-volume receiving environments, the AI Receiving Assistant speeds up receiving and sorting workflows while improving accuracy.

 

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