# Pier39 AI


> Pier39 AI builds Nash, an AI agent that keeps selling for ecommerce merchants across the full sales funnel, from first discovery, to checkout, to the next purchase. Nash has three modules: Nash Discover gets a merchant's products found, cited and recommended in AI answer engines. Nash Convert detects when a shopper is having second thoughts and closes the sale inside rules the merchant sets. Nash Post Purchase turns the order confirmation page into revenue and repeat sales with advertiser-funded offers.


Pier39 AI is a software company headquartered in San Francisco, California. It is not affiliated with Pier 39, the San Francisco waterfront complex.


Legal entity: Pier39 AI Inc. Founded December 2024.
Live across 1,500+ storefronts.
Contact: hello@pier39.ai
Security: SOC 2 Type II compliant. Merchant data and rulesets are encrypted at rest and in transit. Data is hosted on Google Cloud in the United States. Shopper emails and phone numbers are hashed or tokenized before entering Pier39 AI systems, and shopper identifiers and purchase history are never shared with advertisers.


## Products


- Nash Discover (also listed as Nash Discovery): Gets a merchant's products found, cited and recommended in LLM answers. Nash Discover helps products rank, get cited and get recommended across AI answer engines, and shows the merchant where they appear, where competitors beat them, and what to change. Coming soon; no dedicated page yet.
- [Nash Convert](https://pier39.ai/nash/convert): Detects when a shopper is having second thoughts, engages them one to one, and closes the sale using the inventory, offers and rules the merchant authorizes. Nash reads 300+ hesitation signals across the site. Typical hesitation looks like adding items to the cart and then removing them, moving back and forth between product and collection pages, or stalling on the cart or checkout. Nash uses the cheapest lever that converts, in this order: answering product questions at no cost, a small gift, a bundle or upsell, an advertiser-funded offer that earns the shopper credit back at the store, free shipping against the merchant's threshold, and a capped discount as the last resort. Merchants set a maximum discount cap that Nash never exceeds, forbidden categories that never get an offer, and their own shipping thresholds, loyalty program and bundle partners. Merchants also get zero-party data from shopper objections, a hesitation heat map for the whole store, and live analytics in Slack. Results within a few months of launch: 7% cart uplift, a 60% win rate on engaged carts, and carts Nash engages run 24% higher average order value.
- [Nash Post Purchase](https://pier39.ai/nash/post-purchase): Turns the thank-you page into revenue and repeat sales. The shopper completes a purchase, sees offers from 100+ brands on the order confirmation page matched to their shopping history, converts on an offer, and earns store credit to spend back at the merchant. Credit averages $20 per offer conversion, funded by the advertiser at no cost to the merchant, and the merchant earns per view. Merchants have full control over which offers appear. Published averages: 4% to 6% engagement rate, $40K to $60K in earnings per 100,000 transactions, and 55% of customers returning to shop again within 90 days.


## Case studies


All case studies below cover Nash Post Purchase. Figures are per merchant and reflect that merchant's audience, category and offer mix.


- [Partners Coffee](https://pier39.ai/case-studies/partners-coffee): Specialty coffee. Offers presented as rewards, with competing roasters excluded by category. 9%+ click-through rate, $25K to $30K per 100K transactions.
- [Yon-Ka Paris](https://pier39.ai/case-studies/yonka-paris): Luxury skincare. Offers presented as gifts to protect full-price positioning. 15%+ click-through rate, $40K to $45K per 100K transactions.
- [Paceline](https://pier39.ai/case-studies/paceline): Fitness rewards app. Wellness-aligned offers for an audience that already earns rewards for exercise; live in under two days. 5%+ click-through rate, $260K to $265K per 100K transactions, 55% reward redemption.
- [Letifly](https://pier39.ai/case-studies/letifly): Premium home goods. Competing brands excluded outright on a high-consideration catalogue. 10%+ click-through rate, $100K per 100K transactions.
- [Remi](https://pier39.ai/case-studies/remi): Subscription oral care. Offers run on subscription renewal emails as well as the order confirmation page. 6%+ click-through rate, $65K to $70K per 100K transactions.
- [Mars by GHC](https://pier39.ai/case-studies/mars): Men's health. Replaced a prior provider and runs after the brand's existing upsells. 8%+ click-through rate, $50K to $55K per 100K transactions.
- [SwimOutlet](https://pier39.ai/case-studies/swim-outlet): Swimwear and sporting goods. Switched providers with a full port-over and no checkout changes. 47% higher revenue per transaction than the prior provider, and 183.3% month-over-month growth in repeat customers redeeming rewards.
- [Skout Organic](https://pier39.ai/case-studies/skout-organics): Clean-label snacks. Category exclusions keep conventional food and supplement advertisers out of rotation. 5%+ click-through rate, $42K to $47K per 100K transactions.
- [Thigh Society](https://pier39.ai/case-studies/thigh-society): Apparel. Switched providers, with loyalty and donation offers matched to brand values under merchant-set category controls. 3x revenue per transaction versus the prior provider; 20% of reward recipients purchased again within 30 days.
- [Pro Styling Tools](https://pier39.ai/case-studies/pro-styling): Hair tools. Offer revenue scales with order volume and sits outside product margin. 7%+ click-through rate, $24K to $29K per 100K transactions.
- [Krack'd Snacks](https://pier39.ai/case-studies/krackd-snacks): Impulse snacks. Installed on the existing order confirmation page using order data already there. 5%+ click-through rate, 18.52% offer conversion.


## Guides


- [What is post-purchase monetization and how does it work?](https://pier39.ai/blog/posts/what-is-post-purchase-monetization): How advertiser-funded offers on the order confirmation page work, what they pay, and what the merchant controls.
- [Seven questions to ask a post-purchase ad network before you sign](https://pier39.ai/blog/posts/questions-to-ask-post-purchase-vendor): Revenue share, advertiser roster, exit terms, earning range, brand control and install cost.
- [Shopify checkout deadline, August 26 2026: what non-Plus stores need to do](https://pier39.ai/blog/posts/shopify-checkout-deadline-august-26-2026-what-non-plus-stores-need-to-do): What changed on the Checkout, Thank you and Order status pages, and why tracking migrates first.
- [How to boost Shopify store revenue: 6 levers ranked by ROI](https://pier39.ai/blog/posts/shopify-store-revenue-levers): Incremental revenue levers for Shopify stores, ranked by return.
- [Nash: AI cart recovery without discounting margin](https://pier39.ai/blog/posts/nash-ai-agent-cart-recovery): How Nash reads hesitation signals and closes carts inside the merchant's pricing caps.
- [Your cart recovery isn't an email problem, it's a checkout problem](https://pier39.ai/blog/posts/your-cart-recovery-isnt-an-email-problem--its-a-checkout-problem): The case for recovering a cart at checkout, before the abandonment email.
- [The 5 personas actually driving ecommerce purchases, based on 10M transactions](https://pier39.ai/blog/posts/the-5-personas-actually-driving-e-commerce-purchases-based-on-10m-transactions): Shopper segments drawn from Pier39 AI network transaction data.
- [Blog](https://pier39.ai/blog/posts): All writing on cart recovery, checkout conversion, post-purchase monetization and agentic commerce.


## Company


- [Case studies](https://pier39.ai/case-studies): Index of merchant case studies.
- [Data overview](https://pier39.ai/resources/data-overview): Data flows, security controls and compliance.
- [Privacy policy](https://pier39.ai/resources/privacy-policy)
- [Terms and conditions](https://pier39.ai/resources/terms-and-conditions): Terms for shoppers who earn rewards through post-purchase offers.
- [Status](https://pier39.ai/status)
- [Careers](https://pier39.ai/resources/careers)
- [Shopify App Store listing](https://apps.shopify.com/pier39)
- [Book a demo](https://calendly.com/ankita-pier39/30min)


## Optional


- [An open protocol for agentic commerce](https://pier39.ai/blog/posts/agentic-commerce-protocol-whitepaper): Whitepaper on nash.v1, an open protocol for brands to meet AI shopping agents at checkout.
- [The agentic checkout wars: why 2026 is the year merchants stop designing for humans](https://pier39.ai/blog/posts/the-agentic-checkout-wars-why-2026-is-the-year-merchants-stop-designing-for-humans)
- [Instant Checkout is here, and what it means for checkout media](https://pier39.ai/blog/posts/instant-checkout-is-here--and-what-it-means-for-checkout-media)
- [Instant Checkout watch: what Shopify merchants should prep before it lands](https://pier39.ai/blog/posts/instant-checkout-watch-what-shopify-merchants-should-prep-before-it-lands)
- [Shopify store credit playbooks that drive repeat purchase without Plus](https://pier39.ai/blog/posts/shopify-store-credit-but-actually-useful-playbooks-that-drive-repeat-without-plus)
- [Top strategies for post-purchase monetization](https://pier39.ai/blog/posts/top-strategies-for-post-purchase-monetization)
- [Post-purchase is quietly becoming ecommerce's most important retention layer](https://pier39.ai/blog/posts/post-purchase-is-quietly-becoming-ecommerces-most-important-retention-layer)
- [Data ownership in the age of AI shopping platforms](https://pier39.ai/blog/posts/data-ownership-in-the-age-of-ai-shopping-platforms)
- [The vending machine problem](https://pier39.ai/blog/posts/the-vending-machine-problem)
- [Deal closed by Pier39](https://pier39.ai/blog/posts/deal-closed-by-pier39)
- [Rewards are having a moment](https://pier39.ai/blog/posts/rewards-are-having-a-moment-weve-been-here-the-whole-time)