COI.
search Request for Consideration arrow_forward menu
close Submit Innovation
close
Retail verified Verified Outcome TRL 9

3D Foot Scanning for Personalized Fit

domain Client: A specialty running retailer handshake Provider: Volumental schedule Deploy: Q3 2021 (Network-wide)
88 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

To combat high return rates and establish authority in the running niche, the retailer deployed 3D foot scanners in all stores. In 5 seconds, the scanner captures precise volumetric data of the customer's feet, matching them to a database of shoe lasts to recommend the specific models that fit their unique morphology.

rate_review Analyst Verdict

"The best defense against Amazon for specialty retail. It offers a service (scientific fit) that cannot be replicated online. It builds immense trust and gathers a proprietary dataset of foot shapes that informs future inventory buying."

lock
Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Shoe sizing is inconsistent across brands. Customers often buy the wrong size, leading to injury (runners) or returns. Online buying involves 'bracketing' (buying 2 sizes, returning 1), which destroys margin.

psychology The Solution

Volumental scanners use depth cameras to create a 3D mesh. The AI compares the mesh to the internal dimensions of shoes in the catalog. The associate presents the scan on a tablet, explaining arch height and pronation to the customer.

settings_suggest Technical & Deployment Specs

Integrations
CRM, Inventory
Deployment Model
SaaS + Hardware
Data Classification
Biometric 3D Data
Estimated TCO / ROI
Medium
POC Summary (2017-01-01 to 2018-01-01)

"Initial pilot in 2017."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Data Privacy Medium Anonymized aggregation of foot data; email opt-in for customer access.
Hardware Calibration Low Auto-calibration features.

trending_up Impact Trajectory

Audited value realization curve

Creation of largest 3D foot database in retail Verified Outcome
Primary KPIReduction in fit-related returns
Audit CycleIncrease in average transaction value (Insoles upsell)

policy Compliance & Gov

  • Standards: GDPR (Biometric)
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Biometric 3D Data

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
lock
verified_user
Technical Audit
PDF • Audited
lock

Related Intelligence

article
AI-Enhanced Commercial Credit Analysis
View Outcome →
article
Precision Medicine Data Platform
View Outcome →
article
OEM-Embedded Real-Time Auto Insurance
View Outcome →
Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for A specialty running retailer without exposing sensitive IP or identities.

Private
lock_person

1. Raw Evidence

Audit ID: #PRIV-832
Evidence: Direct SQL Logs
Public
public

2. Verified Asset

Outcome: Verified
Ref ID: #COI-832

Strategic Action Center

Identify your current stage and take the next step.

rocket_launch
Replicate This Success
Want similar results? Request a deployment consultation.
psychology_alt
Submit Challenge
Have a different problem? Submit your problem statement.
publish
Publish Case Study
Submit your own verified evidence.
thumb_up
Verify Impact
Audit your existing solution.