Smart Inventory and Logistics
Inventory accuracy is a transaction-logging problem before it's a software problem - a system can only be as accurate as the movements it's told about. The engineering work is in the transaction model, the scanner integration, and what happens when a scan can't reach the server.
The Problem
Manual inventory tracking produces stockouts, overstock, and hours of reconciliation, because a spreadsheet has no transaction history - only a current number someone has to trust or re-count.
Our Approach
We build a transaction-ledger-based inventory system: every movement is a recorded event, current stock is a derived view of that ledger, and barcode scanning removes manual entry as a source of error at the point of work.
Barcode workflow and scanner integration
Handheld and fixed barcode scanners typically integrate one of two ways: as a keyboard-wedge device (the scan appears as typed input, simplest to integrate but limited feedback) or through a scanner SDK (more integration work, but supports real-time validation and error feedback at the point of scan). The right choice depends on the workflow's need for immediate error correction.
Inventory transaction model
Every movement - receipt, pick, transfer, adjustment, or count - is recorded as its own transaction with a type, quantity, location, and timestamp. Current on-hand quantity is calculated from the transaction history, not stored and edited directly, so the history stays auditable and a bad edit can be traced and reversed.
Database architecture
The schema separates the item master (what an item is), the location hierarchy (where it can be), and the transaction log (what happened) - keeping these distinct is what allows accurate reporting on stock-by-location without duplicating item data per location.
ERP/API integration and stock synchronization
When inventory data has to stay consistent with an ERP, POS, or e-commerce platform, synchronization follows the same idempotent-transaction pattern used in our enterprise stock synchronization pattern: a unique transaction ID per movement prevents a retried sync from double-applying the same change.
Audit trail
Every transaction is attributed to a user, device, and timestamp, and the log is append-only - corrections are new transactions that reference the one they're correcting, not edits that erase what happened.
Offline and retry handling
A scan captured with no connectivity is queued locally and submitted once the connection returns, using the same transaction ID it would have used online - so a retry after reconnecting can't accidentally double-count the movement.
Architecture and Approach
Scanners (keyboard-wedge or SDK-integrated) feed transactions into an ingestion service, which validates and appends them to the transaction log. Current stock is a derived view over that log, and an ERP/API sync layer applies the same idempotent-transaction handling used for the internal ledger.
What We Build
- Real-time inventory tracking
- Barcode and scanner workflows
- Warehouse and logistics dashboards
- Multi-location stock synchronization
- Device and hardware integrations
Use Cases
Common Engineering Challenges
Keyboard-wedge scanners are simple to integrate but offer no immediate feedback on an invalid scan; SDK integration takes more development time but supports real-time error correction at the point of scan - this tradeoff should match how much error-checking the workflow actually needs.
Warehouses commonly have dead zones (behind racking, in a loading dock). Scans have to queue locally and sync with the same idempotent transaction ID, or a retried scan after reconnecting can silently double-count a movement.
FAQ
Usually - most handheld scanners work as keyboard-wedge input with no extra integration, though real-time scan validation requires SDK-level integration if your current scanners support it.
It queues locally and submits once the connection returns, using the same transaction ID it would have online - so a retry after reconnecting can't double-count the movement.
Yes, through an API-based sync layer using the same idempotent-transaction pattern as our internal ledger, so a retried sync doesn't apply the same stock change twice.