10 Mobile App Order Tracking Screen Examples

01. Tracking entry

Support signed-in, guest, manual, and notification-driven access.

Customers should not need to know the company’s account model before they can find a purchase.

Shop: Track, Pay, Discover makes “Skip” the entry point and also shows “Follow your order every step of the way”. Under Armour frames the comparable moment with “ORDER TRACKING” and “Track An Order”. Together, the screens show how products expose tracking through onboarding, an order number, an email match, or a direct update. They are recorded interface evidence, not proof that one treatment performs better.

If the app can discover orders from the current account, lead with them. Guest lookup should request only the identifiers needed and explain where the order number appears. Manual carrier entry needs validation and naming so several packages remain recognizable.

Normalize identifiers on the server, rate-limit guest lookup, and avoid revealing order existence before sufficient matching information is supplied. Preserve a deep-linked order through login or install.

02. Status sequence

Translate operational events into a stable customer timeline.

A list of raw carrier scans is less useful than a clear current state and next expected milestone.

Shop: Track, Pay, Discover makes “Skip” the entry point and also shows “Follow your order every step of the way”. Shop: Track, Pay, Discover frames the comparable moment with “Add order manually” and “Search email for a tracking number”. Together, the screens show how a concise progress treatment can communicate placement, shipment, and delivery without overwhelming the user. They are recorded interface evidence, not proof that one treatment performs better.

Use customer language and show completed, current, and future milestones differently. Include timestamps where trustworthy, identify the source, and state when an estimate is a window. Do not mark an order delayed solely because a scheduled polling interval passed.

Map carrier and merchant events into a versioned status model. Keep raw events for support, but render reviewed customer states with precedence rules for cancellation, split shipments, returns, and corrected scans.

03. Delivery estimate

Show timing with the right level of confidence.

“Between 2 and 3 pm” and “standard delivery” communicate different certainty.

Magnolia | Time Well Spent makes “Check Your Order Status” the entry point and also shows “Enter the information used to place the order below.”. Best Buy: Tech Deals & Savings frames the comparable moment with “Track your repair status” and “Find the Geek Squad repair order for the device you dropped off in store.”. Together, the screens show how estimate wording can set expectations before and during fulfillment. They are recorded interface evidence, not proof that one treatment performs better.

Use a date, window, or qualitative state that matches the data source. Label time zones for travel or service orders. When confidence drops, replace false precision with an updated range and explain the change. Pair the estimate with the current milestone rather than presenting it as an isolated promise.

Store estimate source, generated time, confidence where available, and revision history. A client should never construct an arrival promise from incomplete scans.

04. Exceptions and support

Bring recovery closer when the normal sequence breaks.

Delays, failed delivery, missing items, repair changes, and canceled orders need more than a red status.

Moda Operandi | Luxury Fashion makes “ORDERS” the entry point and also shows “Order History”. Hollister Co. frames the comparable moment with “Order History” and “ONLINE”. Together, the screens show how status lookup and support routes can share the same order context. They are recorded interface evidence, not proof that one treatment performs better.

Explain what happened, whether action is required, and the next expected update. Offer address correction, reschedule, courier contact, merchant support, or refund routes only when eligible. Carry the order identifier into support securely so the customer does not start over.

Model exception type, ownership, eligibility, deadlines, and resolution state. Prevent duplicated claims, mask contact details, and record every externally visible status change for support audit.

05. Order history

Keep completed and empty states useful after delivery.

Tracking remains valuable for receipts, returns, repeat purchase, and proof of service.

IKEA makes “Purchases” the entry point and also shows “Time to go shopping”. Wish: Shop and Save frames the comparable moment with “Notifications” and “All”. Together, the screens show how order lists and empty histories can guide people without confusing “no orders” with “could not load orders.” They are recorded interface evidence, not proof that one treatment performs better.

Separate active and past orders, support search or filters when volume grows, and show the merchant, date, total, and status needed for recognition. A new account can link to guest lookup. A failed request should preserve cached orders and show Retry rather than a false empty message.

Paginate and sort by canonical purchase time, reconcile merged accounts, and enforce retention and privacy policies. Deep links to old orders should handle deletion and access changes gracefully.

Implementation

Create one customer-facing status model across merchant, carrier, and support systems.

A dependable order-tracking screen needs one shared contract across interface, backend state, analytics, and support.

Define canonical order, shipment, service, estimate, event, exception, and action objects. Support split shipments and partial delivery without duplicating the whole order. Record freshness so the UI can say when an update was last received.

Define the complete state model before styling the successful screen. Include lookup, accepted, processing, shipped, in transit, delayed, out for delivery, delivered, canceled, returned, partial, stale, and unavailable states. Preserve valid user context through transitions, make mutations idempotent where repetition is possible, and return typed outcomes instead of raw server messages.

Treat accessibility as behavior, not a final visual check. Test Dynamic Type, VoiceOver, keyboard focus, switch control, reduced motion, contrast, localization, right-to-left layout, and touch targets. Every state must remain understandable without color, animation, or perfect connectivity.

Review privacy and security boundaries at the data layer. Send only fields the current viewer needs, minimize retention, avoid sensitive analytics payloads, and make destructive or externally visible changes explicit before confirmation.

Measurement

Measure resolved uncertainty and exception handling.

The primary tap is an intermediate event; measure whether the user’s actual job finishes correctly.

Track tracking entry source, successful lookup, order open, status viewed, notification open, support action, estimate revision, exception resolution, delivery confirmation, history retrieval, and repeat purchase. Use stable state and outcome names, and never capture raw private content merely because it is visible on the screen.

Watch failed guest lookups, stale-status duration, notification-to-order mismatch, support contacts by status, repeated refresh behavior, estimate misses, and duplicated claims. Completion is not merely opening the screen; it is reaching the right order and resolving the customer’s uncertainty or action.

Pair event data with moderated tests, support cases, accessibility review, and replayed failures. Define guardrails before launch so a faster funnel does not hide more accidental changes, stale data, privacy complaints, duplicate actions, or downstream abandonment.

Review checklist

Review tracking across the entire fulfillment life cycle.

Run the complete journey with realistic data, interruptions, and permissions.

Test guest orders, split shipments, revised estimates, delays, failed delivery, returns, old orders, and stale carrier data.

• ✓The order-tracking screen names the current object or task clearly.
• ✓One primary action dominates and its consequence is accurately labeled.
• ✓Secondary actions remain available without competing with the main decision.
• ✓Loading, empty, partial, success, stale, offline, and error states are intentional.
• ✓Back and close behavior preserve the context that opened the screen.
• ✓Validation appears beside the relevant field or selection and offers recovery.
• ✓Duplicate taps and interrupted requests cannot create duplicate mutations.
• ✓Sensitive details are minimized in the interface, logs, and analytics.
• ✓Large text and assistive technology preserve reading and focus order.
• ✓Time zones, localization, and right-to-left layout are tested where relevant.
• ✓The pattern is tested inside the full journey, not as an isolated screenshot.
• ✓Recorded examples are adapted to the product’s own data and constraints.

Related design decisions

Connect tracking to checkout, receipts, and notification history.

Post-purchase clarity depends on the data captured before and after payment.

Reviewmobile app checkout examplesfor delivery promises and identity captured before purchase.

Comparepurchase history and receipt examplesfor the durable record after completion.

Usenotification center design exampleswhen delivery updates remain available inside the app.