Discover how much your network loses per year —
and how much you can recover with technology

RFID & IoT
Redução média de shrinkage de 35% (faixa real: 25–55%). Auburn University RFID Lab: 30% redução de OOS. Caso best-case (Mojix/NRF): até 55%.

Source: Auburn University RFID Lab (2023); Zebra Technologies Retail Vision Study (2024)

ESL — Electronic Shelf Labels
Eliminates 98% of pricing errors and reduces operational costs by up to 35%.

Source: Vusion Group Case Studies (2023); NRF Retail Technology Report (2024)

AI Vision & Analytics
AI cameras reduce unknown loss by up to 35% and increase conversion by up to 12%.

Source: McKinsey Retail Analytics (2023); Sensormatic Solutions Loss Prevention Report (2024)

Autonomous Robot
Reduces shelf audit costs by up to 70% and detects out-of-stocks in real time 24/7.

Source: Badger Technologies ROI Study (2023); Simbe Robotics Customer Data (2024)

Autonomous Checkout
Eliminates queues and reduces checkout operational costs by up to 40%, increasing visit frequency.

Source: Amazon Just Walk Out Technology Data (2023); Aldi Nord Autonomous Checkout Pilot (2024)

EAS Loss Prevention
Antenna systems, tags and CCTV analytics reduce shrinkage by up to 60%. Conservative effective impact: 42%.

Source: NRF Retail Security Survey (2024); Checkpoint Systems (2024)

Vision AI — Checkout Fraud
AI cameras detect unscanned items and self-checkout theft. Reduces POS loss by up to 25%.

Source: Checkpoint Systems (2024); Auror Retail Crime Intelligence (2024)

Digital Signage
Dynamic in-store screens increase sales in promoted categories by up to 32%. Effective impact: ~1.5% on total revenue.

Source: Grand View Research (2025); iTouch Inc (2026)

Loyalty & CRM
Loyalty programs increase incremental revenue by 12% on recurring customers. Effective impact: ~2.5% on total revenue.

Source: Antavo (2025); Grand View Research (2025)

Smart Cart
Smart carts increase average ticket by 30% for users. Effective impact: ~2.0% on total revenue.

Source: MarketsandMarkets (2025); PYMNTS (2023)

Planogram & Shelf Intelligence
Camera-based shelf compliance reduces out-of-stocks by 5% in affected categories. Effective impact: ~0.5% on total revenue.

Source: SymphonyAI; Planohero (2024); Intel Market Research (2025)

Self-Checkout (SCO)
Self-checkout terminals reduce checkout labor costs by 25%. Cost base: ~2% of monthly revenue per store.

Source: Orisha Commerce (2025); Grand View Research (2025)

WMS / Warehouse Management
WMS systems improve labor efficiency by 50% and inventory accuracy. Cost base: ~3% of monthly revenue.

Source: Grand View Research; ShipHero; LogimaxWMS (2024)

Voice AI
Voice assistants in warehouse and customer service reduce operational costs by 60%. Cost base: ~2% of monthly revenue per store.

Source: Syntora (2026); Master of Code (2026); Grand View Research (2023)

Last-Mile Technology
Smart routing, drones and lockers reduce logistics costs by 10%. Cost base: ~2.5% of monthly revenue.

Source: Grand View Research (2023); SAP (2025); Nuvizz (2026)

Micro-Fulfillment Center
Automated dark stores reduce fulfillment labor costs by 30%. Cost base: ~4% of monthly revenue.

Source: BCG (2023); MWPVL International; Precedence Research (2025)