Legacy systems driven logistics dispatch runs on documents and processes taken care of by your employees. But in high-volume B2B supply chain environments operating on Dynamics 365 Supply Chain Management, the cost of a single document error, which can be anything like;
Issues like these are not caught until the shipment is already in transit and intelligent document processing closes that gap.
DynaTech's Logistics Dispatch Automation connects directly to your D365 SCM environment through AI-powered computer vision, configured APIs, applying OCR-based document extraction, real-time dispatch validation, automated documentation generation, and end-to-end automation across every shipment event. Errors are surfaced before trucks leave the dock, not after customers call to report them.
Microsoft Copilot is built to manage the upper conversational layer and help logistics teams summarize documents, navigate workflows, and surface shipment information quickly.
Microsoft Copilot is built to manage the upper conversational layer – summarizing documents or navigating workflows. It’s not designed to run a Machine Learning based object detection model on spool images, automatically compute net weight from tare and gross images, or trigger an automated email dispatch via Power Automate.
DynaTech's Logistics Dispatch Automation system is purpose-built for execution, not conversation. It applies;
It does all these tasks while following a structured automated workflow thus showing the real difference between AI assistance and AI execution.
Our AI logistics solutions applies OCR-based intelligent document processing to extract structured data from incoming shipping documents, including;
More document types can be added as per your requirements. This capability eliminates manual data entry at the point of dispatch and reduces transcription errors across high-volume shipment cycles.
Using a trained ML-based object detection model, it identifies and counts spools in any uploaded image. This provides visual confirmation of load composition before dispatch, directly addressing the “mismatched quantity” problem.
The data our logistics document automation process extracts is cross-validated against your established D365 SCM records. The data is extracted through configured APIs, OData endpoints, and integration connectors.
Based on validated dispatch data, it generates required shipping and compliance documentation automatically, applying configured templates and workflow rules, without requiring manual document assembly at each dispatch event. It also generates reports combining app images and data into a single PDF file and sends it to specified recipients using Power Automate.
DynaTech’s smart AI logistics automation system has access to dispatch data of every shipment. Using this access, it evaluates order configurations and applies entity-aware validation logic to determine field-level discrepancies on time before it affects the supply chain or passes incorrect information to the customers or carriers.
It captures and records loading confirmation of the ruc at the document and item level, creating a structured proof-of-loading record linked to each dispatch event, and shares the information downstream for validation, sharing to clients, carriers, and while doing so prevent dispute resolution.
Every extraction, validation, documentation event, and loading confirmation is logged within the system using a structured and retrievable audit trail. This data is needed for compliance review without asking your team to manually track every dispatch and logged entry from fragmented source records.
Dispatch teams in B2B supply chain environments manage a continuous flow of shipping documents as they have to;
The manual approach isn’t fool proof as errors slip through, loads depart with mismatched documentation, which you must have experienced in the past.
When dispatch volume increases, document variability gets more complex especially in enterprise supply chain environments. By the time a discrepancy is reported, the shipment is in transit and correction costs more than prevention would have.
Hence, you need a smart logistics document automation system as traditional approaches to logistics document processing are not built for scale.
DynaTech's Logistics Dispatch Automation system takes care of three core functions of every dispatch, logging load information, sharing accurate information with the clients, and customers, and creating a data log for every dispatch.
Our solution connects to your Dynamics 365 Supply Chain Management environment through configured API and integration layers where the DispatchSense dashboard offers the following key functions;
This ensures your dispatch and operations teams can act on specific findings before the shipment is released.
A distribution company processes high-volume outbound shipments daily, no doubt here. Let’s say a lading bill submitted by the carrier contains a quantity figure that doesn't match the confirmed D365 sales order line.
Under dispatch time pressure, manual review would have cleared it but the automated process flags the data mismatch at the OCR validation stage, as it can identify loaded truck weight and stops the dispatch, and surfaces the error before the load is released and in turn, preventing any future dispute with the carrier.
After a configuration change in D365 SCM, one required document template stops generating correctly and this sends several issues downstream.
Our automation-enabled AI system prevents this as it identifies the documentation gap during its automated dispatch run and surfaces the failure before the shipment reaches customs, avoiding a border delay that would have gone undetected until the driver called.
A cable manufacturer loads multiple spools on a truck and the driver submits pictures of the loaded spools through the pre-connected dashboard.
The machine learning model counts the spools and compares them against the dispatch order count. Any discrepancies are flagged and shared with the team to ensure they can cross-check the dispatch order before the truck leaves the dock.
| Business Challenge | Automation Process |
| Manual weight recording leads to incorrect net weight calculations and billing disputes. | OCR reads blank and loaded weight images automatically; net weight is calculated instantly with no manual intervention. |
| Spool counts rely on visual checks, leading to miscounts and load discrepancies. Shortage of time and pressure to complete the work can delay deliveries and trigger compliance issues. | Evaluates dispatch data against D365 SCM records through configured APIs in real time, while machine learning object detection counts spools in uploaded images and provides visual confirmation, flagging mismatches before departure. |
| Proof-of-loading records are incomplete, completed manually, or missing, creating accountability gaps that increase exposure during customer disputes. | Captures proof-of-loading at the document and item level, automatically generating structured records linked to each dispatch event. |
| Vehicle identification is typed manually, causing tracking errors. | Number plate OCR (Saudi format) extracts registration numbers accurately and embeds them in the dispatch report. |
| Document generation errors go undetected when D365 configurations change, producing incorrect or incomplete dispatch paperwork. | Automated documentation generation is validated against configured dispatch rules, and any output deviation is surfaced before the document is issued to carriers or customers. |
DynaTech's Logistics Dispatch Automation system is structured across defined, separated layers and every layer has a specific operational responsibility.
It accesses Dynamics 365 Supply Chain Management through APIs, OData endpoints, and integration connectors. This ensures we don’t need to make any core ERP customization or schema changes.
In addition to this, Azure OpenAI provides;
Lastly, Azure AI Foundry manages orchestration, execution sequencing, and output evaluation. Azure AI Vision helps identify objects loaded on the truck and extract text, while analyzing spatial data.
Security and identity related to the AI process are governed through Entra ID app registrations and service principal configuration.
DynaTech configures the Logistics Dispatch Automation process to integrate with your existing Dynamics 365 Supply Chain Management environment. For deployment we provider the following;
We align everything to your dispatch workflows and document types as the experts manage configuration and establish dispatch scenario libraries based on your existing order configurations, carrier document formats, and compliance requirements.
Once live, it operates without disrupting active dispatch schedules. Architecture, deployment timeline, and integration scope are confirmed during the scoping engagement.
With automation of dispatch errors resolved after shipment cost significantly more than those caught at the loading dock. DynaTech's AI-enabled solution eliminates manual document processing cycles, compresses dispatch validation timelines, and surfaces field-level discrepancies before they reach carriers, delivering measurable operational returns from the first deployment cycle.