An AI agent that automates and optimizes the process of selecting the most appropriate carriers for outbound or inbound shipments and then executes the booking process. It evaluates carrier options based on an assessment of cost, service level, transit time, available capacity, sustainability factors, and historical performance, then programmatically initiates booking requests and processes confirmations, minimizing manual effort and securing optimal transport solutions.
Detailed shipment information (origin, destination, product characteristics, dimensions, weight, freight class, required pickup/delivery windows, special handling needs, service level requirements), A comprehensive list of approved/contracted carriers with their respective contract rates, service lane capabilities, equipment types, and contact information.
Confirmed freight bookings with carriers, including pickup numbers and carrier reference details,Automatically updated shipment status (e.g, "Booked," "Tender Accepted") in the TMS/ERP, Proactive alerts and exception notifications for booking failures, delays, or rejections.
ERP Systems (e.g, SAP S/4HANA, Oracle NetSuite, Microsoft Dynamics 365) - for order and shipment data
High potential for costly errors from manual data handling.
Significant time and resources are spent on repetitive, low-value work.
The manual process is difficult to scale without increasing headcount.
Process bottlenecks lead to delays and missed deadlines.
It retrieves bank statements (Excel) and transaction data from the ERP System's General Ledger.
Applies pre-defined rules to match bank transactions with GL entries based on amount, date, reference numbers, and descriptions.
Identifies and categorizes unmatched items, outstanding checks, deposits in transit, bank fees, and interest.
For identified bank fees or interest, the AI agent can suggest journal entries to be posted in the ERP System.
Generates a reconciliation report highlighting matched items, outstanding items, and exceptions, then routes it for review and approval.
Dramatically reduce the time and manual effort required to complete the process.
Eliminate human error to ensure data integrity and reduce financial risk.
Free your team from monotonous tasks, allowing them to focus on strategic work that requires their expertise.
Handle growing volumes of work without a proportional increase in operational costs.
Maintain a complete, auditable trail of every action the AI agent takes, described in plain English.
This use case solution follows these general steps at a high level: