One Giant Eagle team, one Delectable team, one Eagle AI brain. Engineered to make Because It Matters the most advanced AI grocery platform in North America.
Four operators who built and exited the last generation of commerce at VTEX, ATG, Endeca, hybris, Oracle, Lucidworks, and MyWebGrocer — and ran the merchandising stack at Kroger and Target. Collectively, this leadership team has been part of five unicorn exits across e-commerce, search, and retail SaaS.
"Four operators. Five unicorn exits. One conviction — grocery is the largest unsolved frontier in AI commerce."
Giant Eagle enters the agentic era with structural advantages no Pittsburgh entrant (Wegmans, Meijer) can replicate at speed. The GetGo divestiture sharpened focus on the supermarket P&L; Justin's $100M Because It Matters reinvestment is already in motion. The question is no longer whether to lead — it's how fast the lead compounds.
"Agentic AI is properly hyped. The commerce element has to catch up to the AI element."
Wegmans and Meijer enter the Pittsburgh market by end-of-2026. Retail-media networks and aggregators seek to own the customer's agentic search layer, threatening to push Giant Eagle into a mere "fulfillment node." The retailer who locks the agentic surface first owns the next decade.
Validated weekly adoption, 18% basket lift, and 3x conversion inside a 28-day live consumer test.
Complete the Eagle AI roadmap to capitalize on our 6-quarter lead, or watch the pilot momentum freeze.
Meijer & Wegmans open local storefronts. Amazon Rufus search is deployed at scale in grocery.
What is lost when 3rd-party aggregators sit between Giant Eagle and your shoppers:
Instacart intercepts Mid-Atlantic shopper intent before it ever reaches gianteagle.com.
CPG brands pay 3rd-party networks for advertising that belongs on Giant Eagle's digital shelves.
The invaluable 5M+ myPerks behavioral signal is siphoned into a competitor's database.
Online grocery has reached cognitive overload. Shoppers do not want a search box with 200 items to scroll; they want dinner solved. Watch a live customer simulation contrasting traditional digital grocery with Eagle AI's single-conversation assembly.
Click "Run Simulation" below to see both journeys execute side-by-side with exact latency timers.
Purpose-built for grocery. Sits on top of Eagle Eye loyalty, ProdX catalog, myPerks personalization, and your existing partnerships — no replatforming, no rebuild. Every Giant Eagle shopper gets a basket that knows their household tastes, dietary needs, weekly rhythm, and pantry.
"The recipes provided were simple and easy to make... I struggle each week trying to figure out what to make. I like this tool to keep my shopping easy." — GIANT EAGLE CONSUMER TESTER #217
Not another generic chatbot. Sits cleanly on top of Eagle Eye loyalty, ProdX catalog, and myPerks personalization with zero replatforming. Explore the four integrated engines below to see Delectable's architectural advantages.
Description of the engine will appear here.
Why generic LLMs cannot catch us. We fuse two proprietary knowledge graphs into a single retail brain. Every digital cart, store basket, loyalty redemption, and offer response compounds this intelligence daily, creating an insurmountable competitive moat.
Generic models are trained on internet web crawls, making them blind to grocery reality. Delectable fuses the deep molecular gastronomy of food with the real behavioral patterns of myPerks households.
Every shopper touchpoint feeds back into the central brain, making recommendations more accurate and relevant with every single basket built.
Q1 2026. 28 Days. Real Giant Eagle shoppers, real baskets, and real catalog transaction data. These are the certified receipts from our joint Phase 0 pilot.
"Justin and I both left the conversation impressed with what has been done by the team in a relatively short period of time."
| Dimension | Generic LLM | Delectable AI |
|---|---|---|
| Relevance | Disconnected advice. Unaware of store prices, stock, or myPerks limits. | Every suggestion is shoppable. Mapped to local Giant Eagle shelf SKU files. |
| Latency | ~4.0s response. Heavy sequential queries. Drags shopper cart abandonment. | ~490ms response. 8x faster. Single formatting LLM call over graph. |
| Economics | $0.033 per search. Cost siphons gross margin quickly at scale. | $0.0024 per search. 14x cheaper. Graph cache prevents token taxation. |
| Safety | Prone to hallucinations, random advice, and non-verified allergen matches. | Deterministic. allergen-safe, white-box and fully auditable by Graham. |
Eagle AI is a foundational capability layer, not a single point solution. The same Food HyperGraph and Shopper HyperGraph core can be composably deployed across every consumer touchpoint, multiplying loyalty insights at near-zero marginal build cost.
Future integrations included natively in Phase 3 co-innovation scope (Click for Details):
Integrates checkout directly with Google Search, YouTube Shopping, and ChatGPT Agent Payments. Giant Eagle remains seller of record.
Sells ambient macro recipe signals (Tiktok/Reddit trends) back to CPG marketers, unlocking our share of the $71B US retail media ad spend.
Witness our integrated retail brain in action. Toggle between unified core modules in real-time.
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Native iOS & Android shell connected.
Engineered for full transactional parity with the Web App. Ready to link.
Click a shopper archetype below to see how Delectable's generative retail media hyper-personalizes the experience:
Auto-clips coupons, monitors myPerks, recommends private label (Giant Eagle Brand) alternatives, and structures budget-focused meal preps dynamically around weekly specials.
Simplifies restrictive diets (e.g. gluten-free, low-sodium), detects allergen warnings, parses complex labels, and curates medicine-adjacent dietary profiles automatically.
Optimizes protein counts, calculates net carbs, balances macronutrient goals, monitors clean ingredients, and configures repetitive high-performance athletic meal preps.
Navigates conflicting dietary needs (e.g., kid-friendly snacks + vegetarian parent), manages busy meal schedules, and saves hours of manual meal planning weekly.
Scans TikTok & Reddit viral recipes, integrates creator content instantly, maps macro social trend signals, and translates lifestyle lifestyle videos into complete shopping carts in one click.
While Kroger pilots legacy lexical searches and Walmart partners with OpenAI for generic chatbots, Giant Eagle has a six-quarter window to own agentic grocery in the Mid-Atlantic — before national chains can figure out the integration math.
| Dimension | Kroger (Sintec) | Walmart (OpenAI) | Instacart (Ada) | Giant Eagle + Delectable |
|---|---|---|---|---|
| AI Architecture | Sintec search pilot. Chatbot bolted onto legacy site. | Generic GPT-4 text engine. No SKU graph context. | Ada helpdesk widget. No transactional integration. | Dual HyperGraphs + AXP. Reasons, decides, and transacts at SKU scale. |
| Time to Value | 18–24 months. RFP-heavy, multi-vendor cycles. | 12+ months for core enterprise divisions. | Live, but owned and monetized by them — not you. | 5-Month Build. Phase 02 Generative Search GA in 2 months. |
| First-Party Data | Owned, but siloed. Lacks active graph context. | Owned at scale. Proprietary, locked, and non-portable. | Siphoned by aggregator. You get weekly reports. | 100% Owned. 5M+ myPerks signals turned into active living graph nodes. |
| Retail Media (RMN) | Kroger Precision Media — mature, highly defended. | Walmart Connect — locked internally ($4B+ run rate). | Carrot Ads — extracts 30% margin from Giant Eagle shelves. | Net-New RMN Line. Phase 03 self-serve portal owned by Giant Eagle. |
"The opportunity is not to catch Kroger or Walmart on their roadmap. It is to skip it entirely — with a smaller, faster, loyalty-native architecture they cannot retrofit."
We win when you win. Our model features tiered GMV revenue share alongside fixed implementation fees, ensuring complete motivation alignment. Run the live model below to see payback and incremental benefit.
Performance-linked terms ensure shared risk and return. Every dollar of build fees is mapped directly to live milestone delivery.
Our phased roadmap ensures low execution risk. Each launch unlocks immediate engagement and Net-New revenue streams, directly funding and de-risking subsequent phases. Click each phase to expand details.
By reinstating the original legal and security MSA framework, we fast-track progress and kick off compounding value. Run three updated SOWs in parallel aligned to our phased scopes.
Our relationship anchors on deep technical co-innovation and transparent governance. We establish a shared steering committee to ensure frictionless security review, rapid integration paths, and milestone-linked sign-offs.
Detailed execution timelines and gate reviews for each SOW phase.
Delectable AI Touchpoint Experience