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.
At a glance
- Category: ARKit / ARCore
- Year: 2024
- Client: Specialty Grocery & Convenience Chain
01 / 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.
02 / Our Approach
How we executed this engagement in practice. The phases below describe the delivery rhythm we use across ServiceNow, custom engineering, and mobile programs.
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, and scope clarity.
Phase 02
Design & planning
Architecture, experience and workflow design, risks, and a concrete delivery plan.
Phase 03
Build & validation
Implementation, integration, testing, demos, and refinements with your teams.
Phase 04
Go-live & enablement
Controlled rollout, training and documentation, handover, and post-launch tuning.
- 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.
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.
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