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  • Moving organizer
  • AI mobile concept

Nestparcel

A moving companion that makes boxes searchable and turns household notes into an editable packing plan.

Nestparcel product concept in a branded setting

Designed around4 AI workflows

Project overview

Nestparcel explores moving organizer through a mobile experience built around a box-scanning screen with room-based inventory tabs. A moving companion that makes boxes searchable and turns household notes into an editable packing plan. The proposed journey connects box lens, find my things, move plan, household handoff. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed React Native architecture.

The challenge

Moving households need to recover item locations from photos and notes while retaining control over labels and shared checklists. 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 box lens and find my things connected within a short mobile flow.
  • Make inventory extraction correctable when the model misreads the input.
  • Explain task decomposition through visible references or user-selected preferences.
  • Keep changes, sharing and data retention under explicit user control.

Our solution

The design begins with a box-scanning screen with room-based inventory tabs, using large touch targets, short task sequences and contextual sheets. Draft item names from packing photographs for review. Find a saved object using a phrase, photograph or room clue. The companion views keep drafts, original material and accepted decisions distinct. A orange, paper white and midnight visual system gives this app its own character within the collection.

  • Draft item names from packing photographs for review.
  • Find a saved object using a phrase, photograph or room clue.
  • Break a moving brief into editable packing tasks.
  • Flag similar item entries before merging them.

Key features

  • Box lens

    Review a moving-box photograph with proposed item labels and a Confirm inventory button.

  • Find my things

    Review a query for a desk lamp with matched box, room and source photograph.

  • Move plan

    Review an AI-drafted room-by-room packing sequence with editable priorities.

  • Household handoff

    Review a shared checklist, box QR labels, room assignments and offline inventory.

  • Inventory extraction

    Draft item names from packing photographs for review.

  • Multimodal retrieval

    Find a saved object using a phrase, photograph or room clue.

  • Task decomposition

    Break a moving brief into editable packing tasks.

  • Duplicate detection

    Flag similar item entries before merging them.

  • Box labels

    Associate a readable label with each packing record.

  • Room assignments

    Group boxes by their destination room.

  • Shared packing tasks

    Coordinate confirmed tasks with the household.

  • Offline inventory

    Keep saved box records accessible during the move.

Proposed technology stack

Proposed iOS & Android architecture using React Native and TypeScript. AI processing, storage and synchronization are design proposals for this concept, not integrations implemented by this portfolio.

  • React Native
  • TypeScript
  • SQLite
  • AI retrieval

The results

The concept defines four mobile views, four AI workflows and twelve feature areas. The next validation would ask a user to complete box lens, inspect the proposed find my things output and correct an intentional extraction or suggestion error. Evaluation would focus on source traceability, correction effort and task completion. No usability study or business-impact measurement is claimed.

  • 4Original mobile showcase views

  • 4Proposed AI workflows

  • 12Designed feature areas

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