Sortly
Key Info:
Sortly is a cloud inventory application built around visual item records, folders, mobile access and barcode or QR code workflows. It helps teams catalogue equipment, supplies and stock, record quantity changes and receive alerts without requiring a complex warehouse or manufacturing implementation.
Details
Visual inventory records
Items can be organised in folders and described with photos, quantities, prices, notes and custom fields. Search and filters help users find records while activity history provides context for changes. A trial should use the organisation's actual naming variations, units and item hierarchy, then test duplicates, bulk import, an archived item and a record that moves between locations.
Mobile and barcode work
Mobile applications allow users to add, update and count inventory away from a desk. Barcode and QR code labels can connect physical items to their records, and scanning can support check-in, check-out and quantity changes. Buyers should test supported devices, camera performance, shared equipment, damaged labels, offline behaviour and the controls that prevent an accidental or unauthorized stock adjustment.
Alerts, reports and collaboration
Low-stock and date-based alerts can prompt replenishment or inspections. Reports and exports provide inventory, activity and valuation information, while roles and permissions determine who can see or change records. Evaluate notification volume, audit detail, scheduled reports, export completeness and permission boundaries. A useful proof includes a restricted item and verifies that it remains absent from search, reports and shared links.
Fit and evaluation
Sortly may suit small businesses, field teams, offices and service operations that need an approachable visual inventory tracker. It is not automatically a substitute for advanced procurement, manufacturing planning or high-volume warehouse execution. Compare plans for users, items, fields, alerts, reports, integrations and API access, then measure counting speed and data quality during a real cycle count before rollout.
Decision record
Record the tested stock model, location structure, exception scenarios, required edition, verified integrations, data ownership, migration assumptions and named operational owner. Define opening-balance approval, cutover reconciliation, user training, support escalation and the measures that will determine whether the rollout is successful. Include a rollback threshold and a dated review of data quality after the first operating cycle. Keep unsupported pricing, customer-size, language and device values blank until a current official source maps them exactly to a BBS field.