LTEA
LATAM Tech Expansion Advisory
The only GTM intelligence tool built exclusively for RetailTech companies entering Brazil. Select from 16 technology categories, get your addressable market, payback period, 3-year ROI — and a ready-to-use sales pitch for your next retailer meeting.
16 RetailTech categories · Instant results
Fill in your company and target retailer profile to generate a complete Brazil market opportunity report — including retailer ROI, market sizing, 90-day plan, and rollout proposal.
Average monthly revenue per store in USD. Auto-calculated from our Brazil retail database (BRL ÷ 5.0 exchange rate). Edit to use your own estimate.
Brazil industry average by segment. Edit if you have your own data — the more accurate, the better your ROI projection.
Total chains matching your segment + size filter. Used to calculate TAM. Auto-filled from our Brazil retail database — edit to narrow your specific target universe.
RFID & IoT
Average shrinkage reduction: 35% (real range: 25–55%). Auburn University RFID Lab: 30% OOS reduction. Best-case documented (Mojix/NRF): up to 55%.
Auburn University RFID Lab (2023); Zebra Technologies (2024)
ESL
Eliminates 98% of pricing errors; reduces update cost by 35%.
Vusion Group (2023); NRF (2024)
AI Vision
Reduces unknown loss by 35%; increases conversion by 12%.
McKinsey (2023); Sensormatic (2024)
Autonomous Robot
Reduces shelf audit cost by 70%; 24/7 real-time detection.
Badger Technologies (2023); Simbe Robotics (2024)
Autonomous Checkout
Reduces checkout cost by 40%; increases visit frequency.
Amazon Just Walk Out (2023); Aldi Nord (2024)
Loss Prevention EAS
Electronic Article Surveillance reduces shoplifting by 50–70%. Fast payback of 6–24 months.
Global Security Solutions (2024); Mordor Intelligence (2026)
Vision AI Fraud Detection
Detects scan avoidance and sweethearting at self-checkout. Reduces POS shrinkage by 20–35%.
Grand View Research; ScanWatch.tech; Cloudpick (2024)
Digital Signage
Dynamic in-store screens increase impulse purchases and brand engagement. 32% average sales uplift.
Grand View Research (2025); iTouch Inc (2026)
Loyalty & CRM
Loyalty programs increase purchase frequency and basket size. 12% incremental revenue on enrolled customers.
Antavo (2025); Grand View Research (2025)
Smart Cart
Intelligent carts with built-in scanner and payment increase basket size by 25–35% through real-time recommendations.
MarketsandMarkets (2025); PYMNTS (2023)
Planogram & Shelf Intelligence
Camera-based shelf compliance monitoring reduces out-of-stock by 30% and drives 5% sales uplift.
SymphonyAI; Planohero (2024); Intel Market Research (2025)
Self-Checkout (SCO)
Traditional self-service kiosks reduce checkout labor costs by 20–30%. Payback 12–18 months.
Orisha Commerce (2025); Grand View Research (2025)
WMS / Warehouse Management
Improves pick rate by 50%, reduces shipping errors and inventory carrying costs. Payback 12–24 months.
Grand View Research; ShipHero; LogimaxWMS (2024)
Voice AI
Voice-directed work in warehouse and customer service reduces operational costs by up to 60%. Payback 3–12 months.
Syntora (2026); Master of Code (2026); Grand View Research (2023)
Last-Mile Delivery Tech
Route optimization and delivery lockers reduce total logistics costs by 10–15%. Payback 3–36 months.
Grand View Research (2023); SAP (2025); Nuvizz (2026)
Micro-Fulfillment Center
Automated dark stores reduce delivery time by 30% and fulfillment costs significantly. Market CAGR 34.8%.
BCG (2023); MWPVL International; Precedence Research (2025)
Total SKU-level items scanned/month. Typical grocery: 200K–800K.
Passive UHF: $0.08–$0.25. Use $0.12 for grocery.
Typical: 4–8 readers at $1,000–$3,000 each.
% of inventory items to be tagged. Typical: 70–90%.
Fixed UHF reader per store. Typical: $1,000–$3,000 each.
ERP/WMS integration cost per store. Typical: $10,000–$25,000.
Total price labels needed. Typical grocery: 15,000–25,000.
3"–4.2" label: $15–$30. Use $20 for standard grocery.
% of SKUs to convert to ESL. Typical rollout: 80–100%.
Typical grocery: 500–2,000 updates/week. Drives labor savings.
Cost per gateway unit. 1 gateway per 500 labels. Typical: $800–$1,500.
Labor + commissioning per label. Typical: $0.30–$0.80. Min $8,000/store.
Typical mid-size supermarket: 20–80 cameras. Each covers ~100 sq m.
AI-capable IP camera + edge compute: $500–$2,000 per unit.
Loss prevention has fastest payback; shelf analytics has highest LTV.
1 node per 8 cameras. Typical: $1,000–$2,500 per node.
Cabling + mounting + config per camera. Typical: $100–$400.
1 robot covers up to 50,000 sq ft. Most stores need 1 robot.
Typical supermarket: 20,000–60,000 sq ft.
Robot runs up to 12 hrs/day including night scans.
Market range: $1,500–$4,500/robot/month. Default: $2,500.
Dock + network setup per robot. Typical: $3,000–$8,000.
One-time per store. Typical: $2,000–$5,000.
Number of traditional checkout lanes to replace.
Average daily customer transactions. Typical supermarket: 1,000–5,000.
Average transaction value. Brazil supermarket avg: $15–$40.
Market range: $2,000–$8,000/store/month. Default: $4,000.
Hardware per autonomous lane. Typical: $25,000–$60,000.
MDF, network, edge compute per store. Typical: $10,000–$40,000.
Typical: 2–4 gates at store entrances/exits.
Typical: $500–$2,500 per gate installed.
Hard tags: $0.50–$2 each. Soft labels: $0.05–$0.20 each.
One-time installation per store. Typical: $500–$2,000.
Number of SCO lanes with AI fraud detection cameras.
AI camera + edge compute per lane. Typical: $2,000–$5,000.
Market range: $125–$1,000/store/month.
POS integration + installation per store. Typical: $5,000–$15,000.
Typical supermarket: 5–20 screens.
Commercial display + mount. Typical: $400–$1,200.
Content management system. Typical: $3–$50/screen/month.
Cabling, mounting, media player per store. Typical: $500–$3,000.
Enrolled customers in the program. Typical: 10,000–500,000.
Monthly revenue per loyalty member. Typical: $50–$300.
Loyalty platform subscription. Typical: $25–$500/month.
Setup, integration, training. Typical: $5,000–$50,000.
Typical deployment: 20–100 carts per store.
Hardware per cart. Typical: $1,000–$3,000.
Average daily transactions through smart carts.
Average transaction value. Brazil avg: $15–$40.
Shelf-monitoring cameras. Typical: 10–40 per store.
AI shelf camera. Typical: $500–$1,500 each.
Shelf intelligence platform. Typical: $149–$299/month.
Cabling, mounting, WMS integration. Typical: $5,000–$20,000.
Number of self-checkout kiosks. Typical: 4–12 per store.
Hardware per kiosk. Typical: $5,000–$45,000.
Current monthly spend on checkout staff per store.
POS software license. Typical: $50–$100/terminal/month.
Current monthly labor cost for warehouse/stock operations per store.
Storage, spoilage, overstock costs per month per store.
Cloud WMS subscription. Typical: $250–$10,000/month.
Hardware, integration, training. Typical: $10,000–$500,000.
Monthly cost of the operation Voice AI will automate (e.g. call center, warehouse picking).
Voice AI platform subscription. Typical: $500–$4,166/month.
Integration + training. Typical: $20,000–$300,000.
Monthly volume of calls or interactions to be automated.
Current monthly last-mile delivery cost per store/hub.
Total deliveries per month from this location.
Route optimization + delivery management. Typical: $32–$1,900/month.
Lockers, hardware, integration. Typical: $25,000–$250,000.
Current monthly labor cost for order fulfillment operations.
Total monthly orders processed at this fulfillment center.
MFC platform subscription. Typical: $200–$800/month.
Robotic systems + infrastructure. Typical: $3M–$5M.
Your SaaS fee or hardware amortization per store/month.
One-time hardware + deployment cost per store.
How many pilots you're willing to run at no cost to close the first deals.
Your cost to fund the pilot (hardware, deployment, support). Retailer pays nothing during pilot — you absorb this to close the deal.
Enter your expected monthly GTM expenses — each value × 12 months = annual total. These are the costs your company should budget to enter and grow in Brazil. The retailer pays nothing during the pilot.
Monthly GTM expense — e.g. consulting, market entry support, business development, local partnerships. Total = this value × 12 months.
Monthly GTM expense — e.g. marketing, events, content localization, digital campaigns, trade shows. Total = this value × 12 months.
% of customers lost per year. SaaS B2B benchmark: 5–15%. Used to calculate LTV. Default: 10%.
Revenue minus COGS (support, infra, delivery). SaaS benchmark: 70–80%. Used to calculate LTV and unit economics. Default: 75%.
Fill in your company profile, select your technology and target segment, then click Generate to see your complete Brazil GTM Intelligence Report.
The numbers that every RetailTech VP of Sales needs to know before their first call.
Three structural factors make Brazil a priority market for RetailTech companies right now.
From market sizing to execution — we identify, validate and close high-value opportunities.
LTEA is the bridge between global RetailTech companies and Brazil's largest retail networks. We identify, qualify, and connect — so you skip the 6-month prospecting cycle and go straight to the pilot.
Key reports and data on retail technology adoption across the US, Brazil and Latin America — curated by LTEA.