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EdgeRetail vs. Trigo —
analytics vs. store transformation.

Trigo and EdgeRetail both use computer vision in retail — but they solve fundamentally different problems. Trigo rebuilds stores for autonomous frictionless checkout. EdgeRetail delivers operational intelligence from cameras already installed in your stores, with no store transformation required.

Two very different categories of retail technology

Trigo is an autonomous checkout platform — a major infrastructure investment that changes how customers pay. EdgeRetail is an operational intelligence suite that improves how stores are managed, without changing the customer experience or requiring a single new camera.

EdgeRetail

Operational intelligence from your existing cameras

Flow, Shelf, Guard, and Brand deliver queue management, shelf monitoring, loss prevention, and brand compliance from cameras already in your stores. 30-minute setup. No store transformation, no CapEx, no changes to how customers shop. Insights visible in 3–4 weeks.

Fashion & specialty Existing cameras 4-in-1 suite 30-min setup Flat per-store pricing
Trigo

Autonomous checkout — a full store infrastructure project

Trigo installs a dense overhead camera network and computer vision infrastructure to enable frictionless checkout — customers pick up items and walk out, billed automatically. Deployed with Aldi, Albert Heijn, Co-op UK, and Wakefern. A multi-month infrastructure project requiring significant CapEx and operational change management.

Grocery & convenience Frictionless checkout Dense camera install High CapEx Multi-month rollout

Side by side

Capability EdgeRetail Trigo
Core function
Primary use case Operational intelligence — queue, shelf, loss prevention, brand compliance Autonomous frictionless checkout — customers walk out, billed automatically
Changes the customer checkout experience No change to how customers shop or pay Core purpose — eliminates traditional checkout entirely
Operational analytics & reporting Four dedicated modules with live dashboard and Edgar AI assistant Transaction and item-level data; limited operational intelligence beyond checkout
Operational modules
Queue & checkout management Flow module — lane performance, wait times, NPS correlation Checkout eliminated rather than optimized
Shelf monitoring & out-of-stock Shelf module — aisle gaps, planogram compliance, promo display Not a featured capability
Loss prevention & shrink Guard module — POS exceptions, suspicious refunds, after-hours risk Item-level tracking reduces theft at checkout; broader loss prevention not addressed
Brand standards & visual compliance Brand module — signage, display, task verification chain-wide Not available
Infrastructure & implementation
Works with existing cameras No new hardware required Requires dense overhead camera installation throughout the store
Store transformation required None — software only Full infrastructure project: cameras, sensors, weight sensors (optional), app integration
Implementation timeline 30-minute setup; insights in 3–4 weeks Multi-month deployment per store; pilot-to-rollout measured in quarters
Capital expenditure required None — operating expense, flat monthly fee Significant hardware CapEx per store location
Compliance & certifications
SOC 2 certified Enterprise security implied; not publicly confirmed
ISO 27001 certified Not disclosed
GDPR compliant Explicit certification Active in EU markets — compliance implied but not prominently certified
BIPA compliant (Illinois biometric law) Explicit certification — critical for US retail Not disclosed; biometric identification in autonomous checkout raises particular BIPA exposure
Commercial
Pricing model Per store, per month, per module — flat and transparent Project-based hardware + ongoing SaaS — pricing not publicly disclosed
Free pilot Free pilot program offered Hardware deployment makes low-friction pilots impractical
Primary verticals Fashion, luxury, specialty retail Grocery, convenience, supermarket (Aldi, Albert Heijn, Co-op UK, Wakefern)

Information based on publicly available product pages and announcements as of May 2026. ✓ = confirmed, ◑ = partial/implied, ✗ = not disclosed or unavailable.

Operational intelligence vs. store transformation

EdgeRetail

Intelligence layer on your existing store

EdgeRetail adds an AI analytics layer to the store format you already operate. Your staff, your checkout lanes, your store layout — unchanged. What changes is visibility: queue wait times, shelf gaps, loss events, and brand compliance all become measurable and actionable from a single dashboard. For operations directors managing 20 to 200 stores, this is an intelligence upgrade, not a transformation project.

No board approval required for hardware CapEx. EdgeRetail operates as a per-store OpEx line — a meaningful consideration for retail finance teams evaluating AI investments against other priorities in 2026.

Trigo

A new store format — not a plugin

Trigo doesn't enhance your existing store — it transforms it. Implementing frictionless checkout means installing dense overhead cameras across the entire sales floor, integrating with your POS and inventory systems, and redesigning the customer journey from entry to exit. For grocery chains willing to commit to this transformation, Trigo delivers a genuinely differentiated customer experience.

For fashion and specialty retailers, or any chain that cannot sustain a multi-month per-store implementation, this level of investment is not a realistic option for near-term operational improvement.

Implementation reality — weeks vs. quarters

EdgeRetail

Live in weeks, not quarters.

EdgeRetail connects to your existing camera infrastructure. Setup takes 30 minutes per store. The system begins calibrating immediately and delivers first operational insights within 3–4 weeks.

  • No hardware procurement or installation
  • No store closure or construction
  • No changes to staff workflows or customer journey
  • Start with one store; expand to the estate at will
  • Transparent flat monthly pricing per store
Trigo

A multi-quarter infrastructure project.

Trigo deployments involve hardware specification, camera installation across the full sales floor, system integration, staff training, and a customer-facing rollout. Each store is its own project.

  • Dense camera installation required per store
  • POS and inventory system integration
  • Multi-month pilot-to-production timeline
  • Significant CapEx and project management overhead
  • Pricing not disclosed — requires negotiated enterprise agreement

Compliance in autonomous checkout environments

Autonomous checkout uses computer vision to track individuals throughout a store — a use case with specific legal exposure under US biometric privacy law. BIPA (Illinois Biometric Information Privacy Act) carries damages of $1,000–$5,000 per violation per person. EdgeRetail holds explicit BIPA certification; Trigo's BIPA compliance status is not publicly disclosed.

EdgeRetail compliance

The full enterprise certification stack

SOC 2 · ISO 27001 · GDPR · CCPA · BIPA · PCI DSS Ready

EdgeRetail's use case — operational analytics from ceiling cameras — is simpler from a biometric privacy perspective than autonomous checkout. Individual identification is not required for queue counts, shelf monitoring, or brand compliance. The certification stack still reflects the requirements of enterprise procurement teams.

Trigo compliance considerations

Autonomous checkout carries heightened biometric exposure

Frictionless checkout typically requires tracking individual shoppers throughout the store to associate items with a payment method. In Illinois, Texas, Washington, and other states with biometric privacy laws, this creates specific legal obligations. Trigo's public documentation does not prominently address BIPA compliance.

US retailers evaluating Trigo should require explicit BIPA compliance documentation before deployment in covered states. This is not a hypothetical risk — multiple retail tech companies have faced material BIPA litigation in the 2022–2026 period.

Which platform for which retailer

EdgeRetail and Trigo compete for the same technology budget only in the broadest sense. The decision between them is really a decision about strategic ambition and implementation capacity.

EdgeRetail is the stronger fit if you are…
  • A fashion, luxury, or specialty retailer managing 10–200 locations
  • Looking for operational improvements that don't require a store transformation project
  • Unable or unwilling to commit to multi-month per-store hardware rollouts
  • Evaluating AI tools as OpEx additions rather than CapEx infrastructure projects
  • Prioritizing queue management, loss prevention, or brand compliance
  • In states with biometric privacy laws where certification documentation is required
  • Starting with a pilot and expanding based on results — not a signed multi-year commitment
Trigo may be the stronger fit if you are…
  • A grocery or convenience retailer committed to a checkout-free store format
  • Operating smaller-format stores where frictionless checkout is architecturally practical
  • Able to fund and manage multi-month per-store implementation projects
  • Seeking to differentiate on customer experience at checkout — not operational efficiency behind the scenes
  • Already in discussions with Trigo's enterprise sales team and have resolved compliance questions
  • Operating in markets where autonomous checkout is a regulatory-viable customer proposition

See EdgeRetail in your stores

Request a free pilot. 30-minute setup. Operational insights visible in 3–4 weeks — from cameras you already have.