Delectable AI Value

What We Uniquely Bring to Your Grocer

Interactive Demo
Challenge: "What unique value does Delectable AI bring?"

The Intelligence Layer
Your Grocer Can't Build Alone

Google provides the infrastructure. Your Grocer provides the data. Delectable AI provides the intelligence that connects them — Food Intelligence enrichment, agentic orchestration, personalization science, and a multi-retailer platform.

The Delectable Intelligence Stack

Click each layer to see what Delectable AI uniquely provides that neither Google nor Your Grocer can replicate in-house.

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Multi-Retailer Platform Architecture

DELECTABLE EXCLUSIVE

Tenant-isolated infrastructure that deploys to any retailer — not a one-off Your Grocer build.

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Why This Matters

Your Grocer isn't paying for a one-time project. They're getting access to a platform that improves with every retailer deployment. Learnings from other grocery tenants (ranking heuristics, dietary filtering rules, meal planning patterns) feed back into Your Grocer's system.

What They'd Have to Build
  • • Tenant isolation & config management
  • • Multi-channel adapter (web, kiosk, voice, mobile)
  • • Channel-specific response templates (7 formats)
  • • Cross-retailer pattern library
  • • Feature flag system per tenant
Estimated in-house build: 12-18 months, $2M+
🧠

Agentic Orchestration Engine

DELECTABLE EXCLUSIVE

The "brain" that turns Gemini's raw capabilities into grocery-specific decision-making.

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What Delectable Built
  • ▸ 8-intent meal classifier with structured parameter extraction (92% accuracy)
  • ▸ 17-tool function-calling harness with per-request enable/disable
  • ▸ Retrieval guardrails that force catalog lookup (prevents hallucination)
  • ▸ Search refinement heuristics (50%+ keyword overlap detection)
  • ▸ Parallel prefetch engine (catalog + profile + pantry in parallel)
Why Google Can't Provide This

Google provides Gemini and Vertex AI, but not the grocery-specific orchestration logic that makes them useful for shopping. This is like saying "Google provides the engine, but Delectable built the car."

Google: "Here's a powerful LLM"
Delectable: "Here's how it plans meals,
respects allergies, checks your pantry,
and adds real products to your cart"
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11-Stage Personalization Pipeline

DELECTABLE EXCLUSIVE

Composable ranking stages that transform generic search into personalized, safe, monetizable results.

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11 Stages — Each is a Delectable Innovation
1 Relevance Filter (false-friend detection)
2 Dietary Hard Filter (allergy safety)
3 Dietary Enrichment (BigQuery flags)
4 Dietary Annotation (conflict marking)
5 Freshness Rerank (shelf-life boost)
6 History Boost (brand affinity)
7 Health Propensity Rerank (8 scores)
8 Sponsored Placement (RMN)
9 Session Diversity (avoid repeats)
10 Purchase Matching (history link)
11 A/B Variant Testing (plugin arch)
Vertex AI Search provides basic semantic ranking. Delectable's 11-stage pipeline is applied on top of Vertex results, adding personalization, safety, diversity, and monetization that Google does not provide out of the box.
🍎

Food Intelligence Enrichment

DELECTABLE IP

Proprietary enrichment that transforms raw catalog SKUs into nutrition-aware, dietary-classified, health-scored products.

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What Raw Catalog Data Looks Like
// Your Grocer raw catalog
{
"sku": "GE-12345",
"name": "Annie's Cheddar Bunnies",
"price": 4.29,
"department": "Snacks",
// That's it. No dietary data.
// No nutrition. No allergens.
}
After Delectable Enrichment
// Delectable enriched
{
"sku": "GE-12345",
"name": "Annie's Cheddar Bunnies",
"is_gluten_free": true,
"is_vegan": false,
"is_nut_free": true,
"allergens": ["milk"],
"health_score": 72,
"shelf_life_days": 180,
"protein_g": 5, "fiber_g": 1,
"identity_embedding": [0.23, ...]
}
This enrichment is the foundation for every downstream feature: dietary filtering, health-based reranking, virtual pantry decay, and allergen safety. Without it, the AI agent has nothing to personalize with.
🧬

Personalization Science

DELECTABLE IP

Propensity modeling, household de-averaging, virtual pantry, and the "Intelligence Trinity" methodology.

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👥
Household De-Averaging

One loyalty card → multiple persona clusters. Distinguishes "Athlete" from "Parent" on the same account using BigQuery knowledge graph.

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Virtual Pantry

Decay-based stock estimation using 12-month purchase frequency + shelf-life data. Predicts what's in the shopper's kitchen right now.

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8-Propensity Scoring

Vegan, GF, dairy-free, nut-free, keto, low-sodium, high-protein, organic — each scored 0-1 per shopper from purchase behavior.

Google provides BigQuery for storage. Delectable provides the models, queries, and scoring logic that turn raw transaction data into actionable shopper intelligence. This is our core IP.
Google provides infrastructure (Gemini, Vertex, BigQuery) · Your Grocer provides data (catalog, loyalty, transactions) · Delectable AI provides the intelligence that makes them work together