AR Shelf Layout & Store Audit Pilot
Head office issued shelf diagrams (planograms) as PDFs and photos, but each store executed them a little differently. District walks often turned into subjective debates about facings and product placement. The client wanted a limited pilot with clear before-and-after metrics—not an open-ended experiment—before funding a broader rollout.
Business impact at a glance.
Merchandising audit failures in pilot stores decreased by 27% versus matched control stores.
Time to verify a standard bay after a reset dropped by about 35%.
District lead override rate stabilized after two content tuning releases.
Pilot informed a roadmap decision to expand AR to top 200 high-reset locations.
No material privacy findings during the client’s legal and security review of telemetry.
Business Challenge
- Store lighting and shelf depth varied, so simple photo matching produced unreliable results.
- Augmented reality (AR) could drift on long aisles without fixed reference points.
- Planogram content changed weekly and had to update without a full app release every time.
- Privacy rules disallowed uploading raw video of the sales floor; only summaries and limited imagery were acceptable.
- The pilot had to run on mid-range phones already issued to field leads.
Our Approach
We paired AR shelf alignment with lightweight computer checks, driven by weekly planogram data delivered from the cloud (so content updates did not require an app store submission each time). Scoring ran on the device; only summary results and policy-approved thumbnails left the phone. We trained district leads in short sessions and compared audit scores from the client’s existing field audit process before and after the pilot.
Phase 01
Discovery & alignment
Workshops, process and systems review, success metrics.
Phase 02
Design & planning
Architecture, experience and workflow design, delivery plan.
Phase 03
Build & validation
Implementation, integration, testing, demos, refinements.
Phase 04
Go-live & enablement
Controlled rollout, training, handover, post-launch tuning.
What We Delivered
- Built iOS ARKit and Android ARCore modules behind a shared UX specification.
- Implemented configurable planogram packs versioned per store format.
- Added guided capture flow: start zone, pan shelf, confirm score.
- Tuned heuristics for common failure cases (empty holes, reversed products).
- Integrated analytics events for completion time and override reasons.
- Delivered executive readout with pilot KPIs and build vs buy recommendation.
Technology Stack
It turned subjective walk-throughs into something we can score. The pilot paid for itself in fewer failed audits alone.
Director of Merchandising Operations
Retail
More case studies
Mobile & Next-Gen
Patient App: Scheduling, Intake & Messaging
Consumer Flutter app for booking, reminders, pre-visit questionnaires, and secure messaging—integrated through existing middleware without replacing the EHR. Improved completed pre-visit intake by 36% and reduced no-show rate for eligible appointment types by 19%.
View project →
Mobile & Next-Gen
Field Service & Inspection Mobile
Offline-first React Native app for technicians capturing inspections, photos, and digital sign-offs in low-connectivity areas. Reduced same-day work-order completion time by 22% and cut rework visits attributed to incomplete paperwork by 41%.
View project →
Mobile & Next-Gen
Store Associate Productivity Suite
Native iOS and Android apps for store associates: stock lookup, buy-online-pickup-in-store (BOPIS) handoff, and cycle counts—with reliable camera and Bluetooth scanner support. Reduced average lookup time from minutes to seconds and improved BOPIS accuracy to 99.2% in pilot stores.
View project →Scale your infrastructure.
Our senior architects are ready to evaluate your requirements and design a solution built for infinite enterprise scale.
Initiate Technical Scoping