Every trip generates three critical documents captured by drivers through the Gro One app: the Lorry Receipt (LR), the Proof of Delivery (POD), and the E-Way Bill. Submitted as photos or scans of varying quality, these documents historically required manual data entry and manual reconciliation before a trip could be closed and invoiced. As transporter volumes grew, this became a bottleneck:
Ladera Technology designed and built an event-driven, serverless Intelligent Document Processing solution on AWS. The solution ingests LR, POD, and E-Way Bill images from the Gro One app, extracts structured fields with Amazon Textract, classifies document type and entities with Amazon Comprehend, and uses Amazon Bedrock with Retrieval-Augmented Generation (RAG) to interpret context, resolve ambiguous or handwritten fields, and match extracted data against trip records.
AWS Step Functions orchestrates the end-to-end workflow. Validated results are written back to the trip record and automatically trigger invoicing and payment-release workflows, while low-confidence or mismatched documents are routed to a human-review queue instead of blocking trip closure — keeping automation fast without sacrificing accuracy.
| AWS Service | Role in the Solution |
|---|---|
| Amazon Textract | OCR and structured-field extraction from document images |
| Amazon Bedrock | Foundation-model contextual validation and RAG-based trip matching |
| Amazon Comprehend | Document-type classification and entity extraction |
| AWS Step Functions | End-to-end workflow orchestration, retries, and human-review routing |
| AWS Lambda / Amazon ECS | Event-driven and batch compute for processing steps |
| Amazon S3 | Document storage with lifecycle management |
| Amazon RDS / DynamoDB | Trip-matching, validation, and document-record data |
| Amazon API Gateway / ALB | Secure entry point for document uploads |
| Amazon SNS | Notifications to downstream systems and users |
| AWS IAM, KMS, Secrets Manager | Least-privilege access, encryption, and secrets management |
| AWS WAF & Shield | Edge protection for ingestion endpoints |
| Amazon CloudWatch, CloudTrail, X-Ray | Monitoring, audit logging, and distributed tracing |
| Amazon Route 53 | Cross-region failover routing (Mumbai → Hyderabad) |
The solution is designed to replace a manual process that previously took several hours to more than a day per document with near-real-time processing — directly supporting same-day invoicing and faster payment release. The figures below reflect the target outcomes defined in the solution design; as the deployment moves through go-live, Gro Digital Platforms will track actuals against these targets.
Beyond the numbers, the solution is designed to free the operations team from routine document review to focus on exceptions, strengthen the security posture through end-to-end encryption and full audit logging, and give shippers and truckers a faster, more transparent trip-settlement experience — all on an architecture built to scale with Gro’s continued growth.
The solution design does not yet report measured, post-implementation cost savings — per-document processing cost will be tracked going forward via AWS Cost Explorer once the solution is live. What the design does establish is where the return is expected to come from, based on the operational targets above:
To translate these into a dollar ROI figure, Gro Digital Platforms would need to supply a few inputs once available — current manual processing cost per document, average operations headcount cost, and monthly document volume — which can then be modeled against the post-go-live Cost Explorer data. We’d recommend adding a measured ROI figure to this case study once 60–90 days of production data is available.
