AI Agents Are Buying for Your Customers. Are You Ready?

haggl.ai gives your store its own AI negotiator. Set up at haggl.ai/launch?v=ecom and paste one script tag into your theme — Shopify, WooCommerce, or any storefront — and the AI shopping agents visiting on behalf of customers discover it automatically. The agent makes its case with verified evidence — order confirmations, loyalty emails, receipts from its user's inbox — and your negotiator agrees a personalized deal inside the discount ceiling you set. You get a real order from a customer you chose to win, plus verified facts about who they are.

Yes. Run through the setup wizard at haggl.ai/launch?v=ecom, then paste the haggl script tag into your theme.liquid — no app required. Deal delivery is where e-commerce differs from our SaaS product: connect your store with a lightweight Admin API token and haggl.ai mints a single-use discount code per accepted deal, at the exact negotiated percentage, on your own checkout. Prefer zero setup? A static yourstore.com/discount/CODE link per segment works too.

Yes — the exact same flow as Shopify. The wizard at haggl.ai/launch?v=ecom walks you through connecting your store, defining your discount rules, and pasting a single script tag into your theme. Custom and headless setups follow the same flow.

Every plan starts free: your first 50 negotiations each month cost nothing, no credit card required. Paid plans scale with volume — Starter at $49/month (300 negotiations), Growth at $149/month (1,000), and Pro at $399/month (5,000). Enterprise pricing for high-volume or custom deployments is available on request.

Four things, all at haggl.ai — log in and you land in your dashboard: (1) a setup wizard that takes a new store from zero to first closed negotiation in minutes; (2) a segment editor that groups your customers by lifetime value — retention, expansion, cost-to-serve, network value — and lets you authorize a max discount ceiling per segment, so big discounts only go where they pay back; (3) live transcripts of every AI-to-AI negotiation, showing exactly what the buying agent asked, what your store offered, and how the deal closed; (4) an analytics view with negotiation volume, accept rate, revenue captured, and the recent deal log at a glance.

They already are. ChatGPT, Perplexity, and other AI assistants browse product pages on behalf of users every day. The difference is: without haggl, they scrape your prices and compare them to competitors silently. With haggl, they negotiate — and your store gets the recommendation.

The agent reads the haggl meta tag and fetches your negotiation endpoint. The response documents the whole protocol: your customer segments, what earns a deeper discount, and how to submit evidence. The agent opens with self-reported facts — repeat buyer, subscription, typical basket — then strengthens its case with real emails from its user's inbox, shared with consent. Your negotiator, a frontier-model agent briefed on your store, weighs the evidence and quotes a personalized offer; the agent can counter, then accept. On accept, a single-use discount code is minted at the agreed percentage. Every step lands in your dashboard with a full transcript.

The standard hosted flow checks email signatures (DKIM) to establish signed origin, not every claim about the customer. Original message fields are removed before pricing-model input and storage; submitted excerpts, profile fields and verification results may remain. Custom integrations need their own data review.

No. Code enforces exactly one hard limit: the maximum discount you authorize per customer segment. Your negotiator can be creative below that ceiling — it can never cross it. Because ceilings are tied to segments built around lifetime value, you spend margin on customers who actually pay it back — not on price-sensitive one-time buyers who would have churned anyway.

Verified facts about who the customer is, plus the full negotiation record: repeat-buyer status, subscription habits, lifetime spend elsewhere, loyalty tier — whatever your segments ask agents to prove. The agent shares evidence because doing so earns its user a better deal. The facts are structured around lifetime value, not conversion intent, so you can tell the difference between a high-LTV repeat buyer and a one-off bargain hunter before you commit a discount.

Yes. You choose which products or collections are available for negotiation in the haggl dashboard. New arrivals, clearance items, high-margin products — you decide. Products not in your negotiation catalog are never surfaced to agents.

haggl runs independently of your existing promotions. Negotiated deals are separate from coupon codes, seasonal sales, or loyalty programs you already have. You configure per segment whether haggl offers stack with existing discounts or replace them, so your blanket promotions stay intact for human buyers while agents earn segment-specific deals.

No. Agents see only what the protocol publishes: your public segment descriptions and the maximum discount each authorizes. Your private strategy notes — why a segment matters, how you think about its value — never leave the server, and your negotiator quotes only what is in its brief. Discount codes are minted per deal, so no standing code exists to be discovered.

zkTLS will let an agent cryptographically prove that data came from a specific source — a retailer's order history, a loyalty program dashboard, a subscription portal — without exposing the raw content. It extends haggl.ai's verified-evidence model beyond the inbox: today origin is proven with cryptographic email-signature checks (DKIM), live in production; zkTLS adds first-party portals next. Support is coming in an upcoming release.