🔮 Predictive Store Resilience

73% of your standards slip
48 hours after inspection.
The recovery plan kicks in 5 minutes after.

Other CX audit programs hand you a score and walk away. LTEA Scout predicts which stores are sliding into Risk before reviews appear, auto-creates the action plan for the store manager, and verifies execution by the next visit. The only platform that closes the loop from observation to corrected operation.

📋
Your standards. Your areas. Live data.
configurable observation areas (service, cleanliness, checkout, environment), real-time submissions
🔮
Predictive Store Health Score
a store at 75 with trend −6.4 is 3 weeks from a 1-star review wave — and you'll know first
🎯
Auto-Coaching plans for store managers
when a store dips, the action checklist lands in the manager's queue — clean restroom, schedule extra cashier, retrain greeting
✅
Verification on the next visit
photo-evidence items get marked verified by the next scout — recovery becomes data, not a memo to ops
📅 Request a Store Resilience Proposal
🆚See how we compare with the marketSurprise yourself.→
Store #14 Orlando · Live audit
Score 64 · Trend −7.2 · Watch band
Unannounced ✓
Greeting & Welcome 9/10
Product Knowledge 6/10
Cleanliness — Restroom 3/10
Checkout Wait Time 4/10
Uniform Compliance 10/10
🎯 Auto-Coaching Plan · Generated
Assigned to Store Manager · Due Friday
Deep-clean restroom + post inspection schedule 📸 EVIDENCE
Schedule extra register at peak hours HIGH
Refresh staff product-knowledge training MED
Two Ways to Work with LTEA

We run it for you. Or you run it yourself.

✦ Managed Service

LTEA runs everything

We recruit, brief, schedule, and review every scouter. You receive validated intelligence — not raw data. Zero operational effort on your side.

✓ LTEA-managed scouter network
✓ Mission design & cover story
✓ Quality review before you see it
✓ Custom proposal — no lock-in
Talk to our team →
⚡ SaaS Platform

You run it yourself

Use the LTEA Scout platform with your own field team — promoters, supervisors, or auditors. Full platform access with all features from $99/month.

✓ Full platform — mobile app included
✓ Custom missions & observation areas
✓ Analytics dashboard & location map
✓ From $99/month · No lock-in
Get Started →
Transparent Pricing

Choose how you
work with LTEA.

Custom Proposal

Every program is unique.
So is your proposal.

Mystery shopping pricing depends on several variables — mission type, region, volume, and urgency. We build a custom proposal that fits your operation and budget. No surprises.

📅 Talk to our team — Get a proposal
Response time
24h
guaranteed
What influences your proposal
🎯
Mission Type
Quick Check 20–30 min
Standard Visit 45–60 min
Deep Audit 90–120 min
Specialized 2h+
🌐
Region
🇺🇸 USA & Canada
🇬🇧🇩🇪 Europe
🇯🇵🇦🇺 Asia-Pacific
🇧🇷🇲🇽 Latin America
🇦🇪 Middle East
📦
Monthly Volume
Small program
Medium program
Large program
Enterprise / Network
⚡
Urgency
🔵 Normal — standard window
🟡 High — prioritized scheduling
🔴 Urgent — fastest available scouter
🌍 New region — onboarding required
🕵️
LTEA-managed scouts
📍
GPS anti-fraud verification
✅
LTEA quality review
📊
Dashboard + PDF reports
🚫
No lock-in contracts

No long-term contracts · No cancellation clauses · Cancel anytime

✦ CX Consulting

Turn data into transformation.

Based on LTEA Scout intelligence, our CX Division designs and delivers concrete improvements — from quick wins to full CX transformation programs. Engagement scope and investment are custom-built for each client.

🧠 Neuroscience-backed 🏗️ Store design 📋 Action plans 📊 Measurable outcomes
Investment
Custom proposal
Tailored scope · Tailored investment
📅 Talk to our team →

🌐 Available in 30+ countries · New regions onboarded in 2–4 weeks · International coverage available — regional onboarding fee applies

Why Stores Keep Slipping

CX scores tell you what broke.
Not what to do about it.

Audit reports stack up. Reviews come in. Your ops team triages by gut feel. The gap between "we know there's a problem" and "the right action is happening at the right store" is where customer experience decays — silently, store by store.

🪞
Reviews are a rear-view mirror
By the time the 1-star review hits Google, the customer is already gone, the friend they told isn't coming, and the share-of-search hit is already baked in. You react to public damage that was preventable a week earlier. You need a windshield, not a mirror.
1 bad review costs ~30 potential customers
🤷
CX scores without playbooks paralyze ops
"Store #14 scored 64." Now what? Your regional manager has to triage which 12 stores need attention this week, draft what each manager should fix, and chase execution by email. The audit was the easy part. The doing is where the budget evaporates.
90% of regional ops time is plan-writing, not improving
📁
Stores re-discover the same issue every month
The restroom score was 3/10 in March. The regional sent a memo. April audit: 4/10. The improvement evaporates because there's no system holding the recovery plan, no verification on the next visit, no proof the fix stuck. Without a closed loop, every month is week one.
Without verification, 70% of fixes regress within 30 days
The LTEA Loop

Detect. Coach. Verify.
Stores self-correct.

Other CX programs stop at audit data. LTEA Scout closes the loop — turning store observations into manager action plans, action plans into executed fixes, executed fixes into verified recovery. The more stores you run through it, the more your network self-corrects.

01 · PREDICT
🔮
Predictive Store Health
Each store gets a forward-looking score combining 7d / 30d / 90d windows plus trend direction across service, cleanliness, checkout, and environment. A store at 75 with trend −6.4 isn't healthy — it's 3 weeks from a 1-star review wave.
Output: Store health bands · proactive alerts · 12-week sparklines
→
02 · AUTO-COACH
🎯
Manager action plan, written
When a store dips, the platform generates a recovery plan automatically — deep-clean restroom, schedule extra register, retrain greeting, refresh signage. Templated by area, scaled to severity, and auto-assigned to the store manager. Your regional ops stops writing memos.
Output: Manager action plans · priority items · evidence requirements
→
03 · VERIFY
✅
Next visit proves the recovery
When the next scout walks in, the system compares the new score against the trigger snapshot. Photo-evidence items get marked verified automatically. Store recovery becomes documented data — managers get recognition, regional ops sees what works.
Output: Recovery data · manager scorecards · pattern learning
Audit programs sell you a microscope. We sell you an operating system that keeps every store self-correcting before customers post the review.
What You Get

An operating system for
store resilience.

Six capabilities working as one loop. Real CX observations feed the predictive layer. The predictive layer triggers manager action plans. The next visit verifies recovery. Data flows back into prediction. The more stores you run through it, the sharper your operations become.

🔮
Predictive Store Health Score
Forward-looking score per store combining 7d / 30d / 90d windows plus trend direction across service, cleanliness, checkout and environment. Distribution view shows you the whole network at a glance: how many Healthy, Watch, Risk, Critical stores.
Delivered: Network Health page · per-store sparklines · band distribution
🎯
Auto-Coaching plans for store managers
When a store dips, the platform generates a draft action plan automatically — deep-clean restroom, schedule extra cashier, retrain greeting, refresh signage. Templated by area, scaled to severity, auto-assigned to the store manager. Your regional ops stops writing memos and starts approving plans.
Delivered: action plans · priority items · evidence flags · manager assignment
✅
Verification on next visit — recovery as data
When the next scout visits, the system compares the new score against the trigger snapshot and marks evidence-required items as verified. Recovery is documented: "+22 points in 30 days, 5/5 actions verified." Recognition for the manager who fixed it. Pattern data for ops that scales.
Delivered: outcome data · manager scorecards · recovery time metrics
📋
Your standards. Your areas. Live data.
LTEA Scout doesn't ship a generic checklist. You configure observation areas to your operation — service protocol, cleanliness, environment, checkout, uniform, brand-specific standards. Submissions stream in real-time as scouts complete visits. No batch reports, no week-old data.
Delivered: configurable observation areas · custom missions · live submission feed
🔍
Drill-down: Network → Region → Store → Visit
From the network health badge, click any region to see its 12-week trajectory, drill into any store, see last 10 visits with photo evidence, and the live coaching plan if one's open. Drill from "regional drop" to "this exact area at this exact store" in three clicks.
Delivered: drill-down modals · photo gallery · audit trail
🚨
Critical alerts delivered same day
Safety hazard, major cleanliness issue, serious service failure — flagged within hours of the visit so you can act before it becomes a public complaint. Alerts feed straight into auto-coaching, so the action plan is already drafted by the time you read the alert.
Delivered: real-time alerts · escalation rules
Always included
✓ Real customers — not announced auditors
✓ GPS + photo anti-fraud verification
✓ Branded PDF reports for ops meetings
✓ No long-term contracts
How It Works

From observation to corrected store.
Without your regional ops in the middle.

01
🎯
Define what matters
Tell us which standards to evaluate — service protocol, cleanliness, environment, checkout, brand-specific. We design the mission framework around your operational SOPs and coaching templates.
Retailer + LTEA
02
🕵️
Scouter visits as a real customer
An LTEA scouter enters unannounced. GPS check-in, full evaluation, photo evidence — exactly what your customer experiences. Submission lands in your dashboard with score per area and trend update.
LTEA Scouter
03
🔮
Dip detected → manager plan generated
Predictive engine recalculates store health. If the store slips into Watch / Risk / Critical, a coaching plan is generated automatically — checklist by area, scaled to severity, assigned to the responsible store manager.
LTEA Scout Platform
04
✅
Manager executes; next visit verifies
Store manager marks items done as they execute. When the next mission lands, the system compares the new score against the trigger and verifies evidence-required items. Recovery is documented. The loop closes — and learns which interventions work.
Manager → Loop
🎯 The Mission Engine

Four ways to verify.
One platform.

Mystery shopping covers experience. Shelf Intelligence covers planogram. Shelf-Life Audit covers expiry. Campaign Intelligence covers multi-store ROI. Pick the mission type that matches what you need to know.

🕵️
01
Standard Mystery Shop
Customer experience verification

Observation areas (entrance, service, restroom, checkout) with weighted scoring. Cover story-based, anti-fraud GPS verified, photo-required answers, and a final score per visit.

· Cover story-driven scoring
· Photo + GPS evidence
· Weighted observation areas
🧱
02
Shelf Intelligence
Planogram compliance by SKU

Define a list of SKUs the scout must verify on shelf. Reference photo + actual photo, presence check, price match, position check, POS material check — all with timestamped evidence.

· Reference photo vs. actual
· Price + position + POS
· Per-SKU compliance score
📅
03
Shelf-Life Audit
Expiry, FIFO and stockout verification

Upload an Excel of SKUs (or pick a category to explore). For each unit on shelf, the scout reads the expiry date, scans the barcode to confirm the SKU, photographs the front. AI pre-fills the date.

· AI auto-reads expiry date
· Barcode scanned at the shelf
· FIFO + stockout flagging
FLAGSHIP
📊
04
Campaign Intelligence
Multi-store campaigns with ROI

Run one campaign across N stores. Track coverage (% of stores audited), per-store KPIs (price match, POS presence, planogram score), trend over time, and final ROI in a single cockpit.

· Coverage % across N stores
· Per-store KPI breakdown
· Heatmap + ROI cockpit
🧱 Shelf Intelligence · Deep-Dive

Six ways to read a shelf.
From either side of the contract.

Brands verify their own SKUs at retail. Retailers verify their full gondola across suppliers. Each side gets three purpose-built mission flows, four shared analytics KPIs, and a visual gondola in four modes — so the same audit produces the right answer for whoever is asking.

🏷️ For Brand Manufacturers
Verify your products at retail accounts
📐
Planogram Compliance
I know my shelf position — the retailer shared the planogram. Map exact gondola, shelf and slot positions.
Grid builder Position tracking Compliance %
🔍
SKU Availability Audit
I only know my SKUs — I don't have the retailer's planogram. Scout finds my products and reports availability and price.
SKU catalog Availability check Price verification
💎
Paid Visibility Check
I paid for premium placement — end cap, eye level, checkout. Verify the retailer is honoring the commercial agreement.
Agreement check Premium positions Photo evidence
🏪 For Retailers / Operators
Verify your own store standards
📐
Planogram Compliance
Verify all suppliers follow the planogram — product positions, facings and prices across the full gondola.
Full gondola All suppliers Compliance %
📊
Category Management
Track share of shelf by category and supplier. Monitor who's gaining or losing space on your shelves.
Share of shelf Supplier tracking Category KPIs
✓
Standards Verification
Check that store standards are being met — cleanliness, signage, pricing labels and promotional displays.
Store standards Signage check Promo compliance
Four shared KPIs · One unified gondola view
87%
Compliance
products on shelf
4.2%
OOS Rate
out of stock
94%
Position OK
correct position
2.1%
Price Var.
avg variance
Visual gondola · 4 lenses
Compliance mode
🟢 OK · 🔴 OOS · 🟡 Price error · 🔵 Planogram error
OOS mode
🔴 Empty · ⬜ In stock — find the gaps fast
Price mode
🟡 Price error · 🟢 Correct — spot the variance
Stock mode
Heat-map by facings count
EYE LEVEL · MID · LOW · BOTTOM
Per-zone analytics
🔮 Predictive Health · Auto-Coaching

See the dip 30 days early.
The plan writes itself.

Every approved mission feeds a Predictive Health Score per location. When a store slips into Watch, Risk, or Critical, the platform auto-generates a coaching plan — assigned to the right operator, scoped to the dimension that's slipping. The next mission verifies recovery.

Health Bands
Forward-looking score per location
Trend delta: 30-day score vs. 60–90 day baseline. Up · Stable · Down.
85+
Healthy
85+ · 7d / 30d / 90d windows · trend stable or up
↗
70-84
Watch
70–84 · early signs of slip · monitor closely
→
55-69
Risk
55–69 · sustained decline · coaching auto-triggered
↘
<55
Critical
<55 · operational failure · escalate now
⬇
Auto-Coaching
Plans generated when scores slip
Scope-matched checklist · Auto-assigned to the right operator · Severity-scaled action items · Verified by next mission
Sample plan · Loja SP-042
Auto-generated 4 days ago
Risk ↘ -17 pts (30d)
Score dropped from 84 to 67 over 30 days. Plan auto-generated, owner assigned, deadline 14 days. Verified by mission scheduled for next week.
Status
Active · 4 of 7 actions complete
Owner
Store Manager · auto-assigned
📅
Next verification
Mission scheduled · 7 days
⚙️ Operations · Trust · Roadmap

Built to ship.
Built to comply.
Built to evolve.

Three layers most platforms ignore: a real operations engine that keeps scouts moving, security enforced at the database layer, and a roadmap that's contractual rather than aspirational.

Field Operations
SMS keeps the network moving
Six automatic SMS triggers + manual blast from the SMS Center. Auditable delivery logs, business-grade carrier compliance.
🎯 New mission in your radius
⚡ Urgent mission broadcast
✅ Mission approved
⚠️ Rejected · needs revision
💰 Payment released
👋 30-day inactivity nudge
Security & Privacy
Live in production today
Not a roadmap. Already enforced.
✓ Tenant isolation at the database
Row-level access control on every table that holds client data. One tenant cannot read another's rows, even by mistake.
✓ Encryption at rest + in transit
Industry-standard symmetric encryption on storage. TLS for every API call, no exceptions.
✓ DPA + LGPD-aligned by design
Data Processing Agreement on enterprise contracts. Subject access requests, retention, and erasure supported.
→ SOC 2 / ISO 27001 — contracted, not claimed
Certifications committed against scoped client SLAs. We don't claim what we haven't shipped.
Roadmap
Contract-bound, not aspirational
Every item below has scope, owner, and a delivery window — when contracted.
🤖 Planogram AI
PHASE 2
Photo → SKUs detected · share of shelf · OSA gap · planogram drift, all from a single shelf photo.
🔌 ERP Integration
30–90 DAYS
Open REST API + connectors for SAP · Oracle · TOTVS. Match field findings to system stock, close the rupture loop.
📊 Compliance Scoring Engine
6 MONTHS
Per-store, per-region, per-banner scoring. Auto-coaching plans triggered by score drops.
How we ship: a roadmap item moves only when at least one client contracts the feature. We don't ship demoware — we ship paid work.
⚖️ Why LTEA · Comparison

How LTEA compares.

One platform — across CPG brands, retail chains, and franchise networks. Planogram-driven, scout-verified, divergence-flagged. Below: how we stack up against image-recognition tools, mystery-shop apps and system-data vendors, capability by capability.

Capability
LTEA Scout
This platform
Trax / FORM
Image recognition
BeMyEye / Field Agent
Mystery shopping
IRI · Nielsen
System data
Verification method
✅ Planogram upload + scout divergence
📷 Photo-AI inference of SKUs
🟡 Free-form scout reports
📊 Scanner-data aggregation
Physical scout verification at the shelf
✅ Human + GPS + photo
📷 From photos only
✅ Crowd-sourced
❌ System data only
Photo + barcode + GPS evidence (legal-grade)
✅ GPS + EAN + photo
📷 Photos only
📷 Photos only
❌ Not applicable
Multi-industry · multi-vertical (CPG · retail · franchise · hospitality)
✅ One platform, 4+ verticals
🟡 CPG-focused
🟡 Mystery shop generic
🟡 Per-vertical packages
Brand · SKU Availability without planogram
✅ Find-and-report flow
❌ Requires shelf photo
🟡 Generic mystery shop
❌ Not applicable
Brand · Paid placement audit (end cap, eye level)
✅ Agreement check + photo evidence
🟡 Inferred from images
🟡 Possible via custom mission
❌ Not applicable
Brand · Price compliance audit (variance vs agreed)
✅ Variance % + photo evidence
🟡 Price OCR from photo only
🟡 Possible via mystery shop
🟡 From scanner data
Retailer · Share of shelf by supplier
✅ Direct from category mission
✅ Image recognition output
❌ Not standard
🟡 From scanner data
Retailer · Shelf-to-register price audit
✅ Cross-check + photo proof
❌ Photo only, no register sync
🟡 Mystery-shop scope
🟡 Scanner data only
Retailer · Standards · signage · promo audit
✅ Built-in mission flow
❌ Photos only
✅ Mystery shop checklist
❌ Not applicable
Visual gondola · 4 modes (Compliance / OOS / Price / Stock)
✅ All 4 modes built-in
🟡 Image-derived heatmap
❌ List view only
🟡 Static charts
Per-zone shelf analytics (Eye / Mid / Low / Bottom)
✅ Native per-zone KPIs
🟡 Position from image
❌ Not available
❌ Not available
Facing count + slot position tracking
✅ Counted at the shelf
🟡 Inferred from image
🟡 Manual entry
❌ Not available
Expiration date OCR (auto-read)
✅ AI auto-read · ~88% acc.
❌ Not a documented feature
❌ Manual entry only
❌ Not in scope
Barcode validation with mismatch flag
✅ Reverse audit + flag
🟡 SKU detect via image
❌ Not standard
❌ Not in scope
Configurable observation areas + task templates
✅ 20+ areas · 325 task templates · 8 question types
🟡 Photo-derived only
🟡 Per-mission KPI list
❌ Not applicable
Real-time intelligence (no batch latency)
✅ Submission → KPIs update → coaching triggers
🟡 Image batch processing
🟡 Post-visit reports
❌ Weekly / monthly batch cycles
Multi-store mission cloning (1 → N)
✅ One-click cloning
🟡 Per-rep workflow
❌ Per-mission setup
—
Auto SMS triggers to scouts
✅ Six automated triggers
❌ Email / app push only
🟡 In-app push only
—
Predictive Health Score per location
✅ 4-band · trend delta · auto
🟡 Score from images
❌ Survey scores only
🟡 Static reports
Auto-generated coaching plans
✅ Auto when score slips
❌ Not in scope
❌ Not in scope
❌ Not in scope
Campaign Intelligence cockpit (multi-store ROI)
✅ Coverage · ROI · heatmap
🟡 Region-led, EN-first
🟡 Static reports
🟡 Static reports
LGPD compliance by design
✅ RLS · DPA · live
🟡 Generic statement
🟡 Generic statement
🟡 Enterprise terms
Setup time to first audit
✅ Excel upload · hours
🟡 Weeks of training
🟡 Standard onboarding
❌ 3–6 month implementation
Sources: Vendor websites and product documentation as of May 2026 — Trax / FORM (traxretail.com, prnewswire 2026 merger announcement); BeMyEye (bemyeye.com, content.bemyeye.com); Field Agent / Gigwalk (publicly listed feature sets); IRI & Circana, Nielsen Brandbank (vendor product pages). Comparison reflects publicly described capabilities. We invite competitors to challenge any row — and will update accordingly.
Time to Act

Stop reacting
to bad reviews. Start auto-correcting your stores.

Your competitors run audits. You'll run a self-correcting network. Predictive Health spots the dip 30 days early. Auto-Coaching writes the recovery plan for the store manager. Verification proves it worked. Store #14 climbed +22 points in 30 days — verified, documented, ready for your next QBR.

📅 Request a Store Resilience Proposal ✉ Email our team

✓ Custom proposal in 24h  ·  ✓ The full loop, not just dashboards  ·  ✓ No lock-in contracts