Receive
Bring orders and delivery requirements into a common format.
Connect orders, cargo and fleet operations. Move from fragmented handoffs to coordinated decisions, from the warehouse to the final receipt.
A shared shipment record is the proposed foundation. Every scan, load check, assignment and delivery event stays connected to the same order.
Bring orders and delivery requirements into a common format.
Match RFID or barcode events to a known shipment.
Group compatible cargo by destination, capacity and time window.
Check each shipment against the assigned vehicle manifest.
Propose assignments using traffic and operational constraints.
Link delivery evidence to reconciliation and settlement review.
Planned product scope. The demo simulates this workflow; hardware, AI and business-system integrations are not connected.
Starting with regional delivery teams, where cargo handling and dispatch need to work together.
The planned event layer connects label reads, vehicle assignments and proof of delivery. Missing scans and mismatches become explicit exceptions, rather than another spreadsheet.
Capacity and delivery rules define what is feasible. A proposed Claude layer interprets documents, explains exceptions and drafts next steps. Operators approve consequential changes.
Connect a signed delivery record to the original order and agreed charges. Surface missing evidence before a billing review. Payment execution remains a separate, approved step.
Import sample orders, verify cargo, consolidate loads and respond to a traffic exception. See what changes at each step.
Run the interactive demoThe first proposed pilot pairs one warehouse with a regional fleet. Scope and milestones will be validated with operators.
Interactive prototype, proposed architecture and discovery with warehouse and dispatch teams.
Order import, barcode scan events, load manifests, approval-based dispatch and delivery evidence.
Validate RFID reads, traffic feeds and system integrations. Measure manual touches, loading exceptions and on-time delivery.
AI Logistics OS is a working name for an early-stage product concept. This website is a prototype. The interactive demo uses synthetic data and predefined logic, with no live AI, vehicles or connected devices.
A plan is only useful when it matches what happened on the floor. Barcode and RFID events are intended to connect a shipment record to physical handling. Reader reliability, installation and scan coverage still need field validation.
The proposed integration would use Claude to extract order requirements, explain exceptions and draft actions through controlled tools. A rules and optimization service would check feasibility. Claude is not connected to this demo, and no Anthropic partnership or program acceptance is claimed.
That operators spend less time re-entering data, catch more loading mismatches and can inspect dispatch recommendations. Pilot targets and commercial pricing will be set after discovery; no measured performance gains are claimed.
Walk us through one real handoff, from order to proof of delivery. We are looking for a small number of operators to shape the first pilot.