The pricing software that refuses to guess. Spresso.AI runs live experiments across a product's price range and steers new shoppers toward the point that earns the most - margin found, not discounted away.
Most retailers set a price the same way they always have: study a rival, add a margin, and hope. Spresso.AI, a New York enterprise software company, treats that hope as a measurable question. Its core product, the Pricing Agent, builds a range of candidate prices for every SKU, watches how demand responds at each point, and then dynamically allocates new customer traffic toward the price that maximizes profit.
The approach borrows from reinforcement learning: the system does not assume it knows the right number, it learns it - continuously, per product, as conditions shift. Spresso reports a typical revenue lift of 20% or more for platform users, a figure that comes not from raising prices across the board but from finding the price a shopper would have paid anyway.
Around that engine sit two more modules. The Enterprise Commerce Suite handles the unglamorous machinery of online retail - legacy system integration, SKU-level fulfillment, mixed-cart orders. Spend Management layers advanced analytics over company spending to surface real-time cost insights. Together, Spresso calls it a flywheel: pricing, operations and spend data each feeding the others.
Notably, the platform does this without collecting personal shopper data. It optimizes on first-party demand signals, a deliberate stance in a category - dynamic pricing - that has earned a reputation for surge pricing and screenshots shared in anger. Spresso's version is quieter by design.
"Supplement, not replace. AI should amplify the merchandiser's strategy - not eliminate the human decision."
Generate a set of candidate prices for each SKU.
Gather live demand data at each price point.
ML models weigh conversion against margin.
Route new traffic to the profit-maximizing price.
Spresso sells its tools modularly - customers can adopt one or run all three. Each shares data with the others, which is the whole point.
The AI Pricing Agent - creates price ranges, measures demand, and dynamically allocates traffic to the profit-maximizing point using machine learning and reinforcement learning.
Since 2022End-to-end e-commerce platform for enterprise retailers: legacy integration, SKU-level fulfillment, mixed-cart orders, and AI-driven analytics.
Since 2022Advanced analytics delivering real-time spending insights so companies can optimize costs and resource allocation.
Since 2022Packaged apps that bring SKU-level, margin-protecting AI pricing to smaller merchants on major storefront platforms.
Since 2024Spresso's customers are enterprises doing serious volume. The company reports roughly 15 enterprise customers worldwide, including AEON Group - whose Malaysia CEO praised the platform for streamlining e-commerce operations in Southeast Asia - along with Fortune 500 companies and consumer brands. Deals reportedly run in the range of $2 million or more, sold through implementation fees plus modular subscriptions.
That places Spresso in the retail pricing and revenue-optimization market alongside vendors like Pricefx, Wiser, Competera, Revionics and Blue Yonder. Its differentiator is pedigree: Spresso's team members ran e-commerce at scale before building software to sell it, and the product was battle-tested inside a real retailer rather than designed in the abstract.
The company also pushes downmarket. By launching apps on Shopify and BigCommerce in 2024, Spresso extended enterprise-grade pricing to merchants that would never sign a seven-figure contract - a classic move to widen the top of the funnel while the high-ACV enterprise business anchors revenue.
The market backdrop is favorable. As margins tighten and first-party data grows more valuable, pricing has become one of the highest-leverage levers a retailer can pull - and one of the least automated. That gap is Spresso's opportunity.
Spresso began as the internal technology behind Boxed, the online wholesale grocer. Boxed went public, weathered the pandemic, and eventually wound down - but its software found a second life.
Boxed rebrands its Software & Services business unit under the Spresso name.
Spresso's SaaS solutions launch on Google Cloud Marketplace, offering data-driven insights to joint customers.
Funds managed by BlackRock make an initial strategic investment in Spresso's price optimization solution.
Following Boxed's wind-down, Spresso becomes an independent enterprise SaaS company with roughly $2.5M ARR.
Spresso announces a Series A led by funds and accounts managed by BlackRock to fund global expansion.
AI-powered pricing arrives for merchants on major storefront platforms.
The company roughly doubles ARR on large enterprise contracts.
"Our interconnected solutions create a flywheel of intelligent pricing, streamlined operations, and unparalleled insights from spend management - all powered by AI and machine learning."
Yaman is no first-timer. A law-school graduate who arrived in New York just before the 2008 Lehman collapse, he went on to co-found Boxed, where he served as COO and Head of Software for a decade - through a pandemic, a public listing, and eventually a wind-down. Spresso is, in effect, the part of that story he chose to keep building.
Spresso started as Boxed's internal software - the tech outlived the retailer that built it.
The Pricing Agent collects no personal data. It optimizes on first-party demand signals alone.
BlackRock, a trillion-dollar asset manager, backed this ~35-person startup.
The name echoes "espresso" - fast, concentrated shots of pricing intelligence.
CEO Jared Yaman moved to NYC just before the 2008 Lehman collapse - then built through the next crisis too.
This profile is compiled from public sources including Spresso.AI's website, press releases and news coverage. Figures such as ARR, revenue lift and customer counts are approximate and reflect publicly reported statements; individual results vary. Funding amounts were not disclosed by the company.