Overview
Trackettle explores delivery field notes through a mobile experience built around a stop-by-stop route list with camera capture sheets. A field-delivery notebook for label capture, dictated reports and traceable handoff summaries. The proposed journey connects route pocket, capture handoff, voice report, shift recap. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed Kotlin architecture.



Original mobile interface concepts with fictional content. AI responses illustrate proposed interactions; they are not live model results.
Challenge
Field staff need spoken notes and parcel photographs tied to the correct stop while administrative suggestions remain reviewable. On a phone, the person also needs to capture information quickly, understand where an answer came from and return to the original material without navigating through a dense desktop interface.
- Keep route pocket and capture handoff connected within a short mobile flow.
- Make label extraction correctable when the model misreads the input.
- Explain record retrieval through visible references or user-selected preferences.
- Keep changes, sharing and data retention under explicit user control.
Solution
The design begins with a stop-by-stop route list with camera capture sheets, using large touch targets, short task sequences and contextual sheets. Draft parcel reference fields from a user-captured label. Turn dictated notes into editable administrative fields. The companion views keep drafts, original material and accepted decisions distinct. A navy, safety orange and white visual system gives this app its own character within the collection.
- Draft parcel reference fields from a user-captured label.
- Turn dictated notes into editable administrative fields.
- Find a handoff using parcel references or descriptive questions.
- Group selected notes by follow-up topic with original entries linked.
Results
4
Original mobile
showcase views12
Designed
feature areas4
Proposed AI
workflows


