Guided Capture
Users could take or upload item photographs from the mobile interface.
Applied AI MVP Case Study
AI-Assisted Item Capture and Analysis for Logistics Workflows
Isoft developed a mobile-first MVP that captured an item from multiple angles, submitted the images for analysis and returned structured characteristics for operational review.
Working MVPcapture, analyse and review in one mobile workflow
Delivery stageMVP Development
Industry contextLogistics & Freight
SolutionMobile Capture + Applied AI
OutcomeTestable Workflow Prototype
The opportunity
Explore whether item characteristics could be captured with less manual assessment
Freight and packing workflows often depend on people inspecting items, recording details and making handling decisions from incomplete information. The MVP was designed to test a more structured camera-led workflow.
The objective was not to replace operational judgement at the prototype stage. It was to make capture consistent, return useful machine-generated attributes and create a practical foundation for validation.
The project focused on proving the end-to-end interaction: capture two views, process them and present structured results for a person to review.
MVP requirements
- Mobile camera access and image upload
- Top and side views of the item
- A simple save-and-process workflow
- Structured analysis results in the interface
- Editable and removable result records
- A base for controlled testing and refinement
What Isoft built
A complete mobile capture-to-analysis workflow
The MVP connected image acquisition, processing and human review in one focused interface.
Two-Angle Input
Top and side images provided complementary visual information for processing.
AI-Assisted Analysis
The prototype processed the captured images and returned structured item attributes.
Handling Characteristics
Outputs included shape, stackability, surface and weight-distribution fields.
Result Records
Processed information was shown in a reviewable table rather than hidden in the model response.
Human Review
Users retained control through record review, editing and deletion actions.
The MVP journey
From an item in front of the camera to structured review data
Capture
Photograph the item from the required top and side angles.
Submit
Save the selected images and begin the processing step.
Analyse
The AI-assisted service extracts the item characteristics supported by the MVP.
Review
The user checks the structured output and manages the result record.
MVP interface
A practical demonstration of applied AI inside an operational workflow
The interface was intentionally simple so the technical concept could be tested as a real user journey rather than as a disconnected AI experiment.
The visual shown here is a brand-neutral presentation of the delivered MVP workflow. Client-identifying information and the original development address have been removed.
MVP outcome
A testable foundation for image-assisted item assessment
The MVP demonstrated that mobile capture, AI-assisted processing and structured operational review could be connected into one working flow suitable for further validation and product decisions.
Two image perspectivescaptured through a mobile-first interface
One connected workflowfrom capture and processing to result review
Structured outputpresented as operational fields rather than raw AI data
This was an MVP development engagement. The case study describes demonstrated functionality only. It does not claim production deployment, client acceptance, commercial outcomes, packaging recommendations, or validated accuracy and processing-time targets.
Related capabilities
Explore the work behind this MVP
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