AnyGrocery — Grocery Concierge Demo

Vertical: Grocery & CPG ~10 min 5 acts

⚠️ Demo Limitations to Mention

25 SKUs across 7 categories — production catalog would be 30,000+
Checkout flow is simulated — no real payment processing
Delivery slots are mocked — no real fulfillment integration
Product images are AI-generated by Stability AI
3 personas hard-coded — production would pull from CRM and order history

Set the Stage

~1 min

"Grocery has the lowest margins and highest cart-abandonment in retail. Customers come to plan a week, get distracted, and bail. Worse — getting a single allergen wrong destroys trust forever. AnyGrocery's AI Concierge solves both."

Open the homepage. Point out the hero "Real food. Real fast." and the 3 personas representing different shopping modes: family planner, fitness/vegan, allergen-strict.

A guided shopper who finds what they need fast and trusts the dietary filtering converts higher and re-orders weekly. That's grocery's whole game.

Allergen-Strict — Priya & Gluten-Free Family

~3 min

Click the "Priya 👩‍🍳" persona. Type "I need easy weeknight dinner ideas".

"Priya's daughter has celiac. Watch what the advisor does — every recommendation is from gluten-free brands like Caulipower, Siete, Hu Kitchen. It will not surface Barilla pasta even though that's a great weeknight pick for other shoppers."

Show the Caulipower Cauliflower Crust Pizza, Siete Tortilla Chips, Hu Dark Chocolate Bar appearing inline with images.

"This is dietary safety as a product feature. The catalog is constrained by the AI's understanding of the customer's profile — there is no way to accidentally recommend something unsafe."

Allergen accuracy is non-negotiable for affected households. They become loyal forever to retailers who get it right. Lifetime value goes up dramatically.

Plan-Ahead Family — Sarah's Weeknight Dinners

~2 min

Clear chat. Click the "Sarah 👩‍👧‍👦" persona — mom of two, cooks 5 nights a week.

"Sarah's history shows she repeats Rotisserie Chicken, Rao's marinara, Barilla pasta, Cauliflower-crust pizza, organic strawberries every week. The advisor greets her by name, references her usual basket, and offers to add it all in one click."

Type "What should I make tonight?" — show how the advisor groups recommendations into a meal idea (e.g., "rotisserie chicken + roasted veggies + Häagen-Dazs for dessert").

Meal-grouping reduces decision fatigue and increases AOV. One click adds 4-5 items instead of selling them individually.

Schedule Delivery — Conversational Fulfillment

~2 min

In the same Sarah chat, type "schedule delivery for tomorrow afternoon".

"Notice the advisor offers delivery slots inside the chat — not a redirect, not a phone call. The 1-3 PM slot, the 5-7 PM slot. One tap to confirm."

Delivery scheduling without leaving the conversation increases booking rates. Same-day delivery is the highest-margin grocery service — friction kills it.

The Wrap

~2 min

"Three things to walk away with. One — the AI is constrained to the real catalog and the customer's dietary profile, so allergen mismatches are impossible. Two — meal-grouping increases basket size and reduces abandonment. Three — fulfillment scheduling lives inside the conversation, not a separate funnel."

Open the brand switcher to show this is the same code base running fashion, electronics, beauty, pet, and grocery.

Build once, deploy across categories. Every vertical reuses the AI plumbing — only the catalog and persona change.