Product discovery for enterprise ecommerce, powering 400 billion requests a year
Constructor is an AI product discovery and search platform for enterprise ecommerce retailers.
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AI Editor ApprovedApproved and published by our AI Editor-in-Chief after full panel analysis.Constructor is an AI product discovery and search platform built for enterprise ecommerce retailers. It powers search, autosuggest, browse, recommendations, collections, and quizzes from a single Commerce Reasoning Engine that ranks products on real-time shopper behavior and intent, then uses reinforcement learning to optimize toward each retailer's chosen KPIs like revenue and conversion. Pricing is quote-based with no public plans, so teams contact sales for a proposal sized to catalog and traffic; average contracts run into six figures. Core capabilities include an AI Shopping Agent for natural-language finding, a Product Insights Agent that answers buyer questions, GenAI Attribute Enrichment, Retail Media monetization, and merchandiser dashboards with A/B experiments. It fits mid-market and enterprise retailers in apparel, grocery, and general merchandise that have outgrown keyword search. Alternatives worth comparing include Algolia, Bloomreach, Coveo, Klevu, and Searchspring, each offering ecommerce search and personalization at different scales and price points.
Constructor connects to a retailer's product catalog and serves every discovery surface from one Commerce Reasoning Engine: search, autosuggest, browse category pages, recommendations, collections, and quizzes. The engine reads real-time shopper behavior, context, and intent to rank products per person, and reinforcement learning re-tunes those rankings after each interaction toward the KPIs a retailer picks, such as revenue, conversion, or margin.
Beyond ranking, the platform adds an AI Shopping Agent for natural-language product finding and a Product Insights Agent that generates and answers buyer questions. Attribute Enrichment uses generative AI to fill and normalize catalog attributes, Retail Media places sponsored products inside results, and Cross-Channel & Offsite Discovery extends the same signals to email, SMS, push, and in-store campaigns. Merchandisers keep hands-on control through dashboards, boost-and-bury rules, and built-in A/B experiments.
Constructor targets mid-market and enterprise ecommerce teams in apparel, grocery, and general merchandise that have outgrown keyword search. Pricing is quote-based and negotiated per catalog size and traffic, with no public tiers, so buyers contact sales for a proposal. Direct competitors in the category include Algolia, Bloomreach, Coveo, Klevu, and Searchspring.
The platform is API-first, exposing REST APIs and SDKs so results render across web and native mobile storefronts, and its homepage headlines an integrate-with-anything approach to connecting existing catalogs and commerce stacks. A Merchant Intelligence Agent (beta) adds explainability, showing why any result ranks where it does and helping teams diagnose and fix ranking issues.
Lets shoppers search in natural language and returns products matched to their intent and context.
Generates and answers personalized product questions so shoppers can buy with more confidence.
Explains why any result ranks the way it does and helps teams diagnose and fix ranking issues.
Uses generative AI to fill and normalize product and category attributes for better discoverability.
Interactive product-finder quizzes that guide shoppers to relevant items and capture preference data.
Shares discovery intelligence to power email, SMS, push, and in-store marketing campaigns.
Builds dynamic, curated product pages that reorder automatically from shopper signals.
Dashboards, boost-and-bury rules, and A/B experiments that let merchandisers override AI ranking.
Serves sponsored products and ads inside discovery results to add ad revenue without hurting relevance.
Personalizes category and listing pages, reordering products for each shopper based on behavioral signals.
Surfaces related and complementary products across the shopper journey using real-time behavioral data.
AI-driven ecommerce search and type-ahead that interprets shopper intent in real time instead of matching keywords.
Pricing requires contacting the vendor.
A decade-old, well-funded discovery engine with 98.5% retention that's worth a scoped pilot.
“Constructor is a mature, well-capitalized product discovery platform that enterprise retailers keep renewing. The pricing is opaque and the commitment is six figures, so scope a pilot before you standardize on it.”
98.5% client retention over three years is the number that earns a second meeting. Renewals like that don't happen by accident in enterprise search — they mean the Commerce Reasoning Engine is holding revenue, not just serving results.
The vendor question checks out. Founded in 2015, a $55M Series A in 2021, then a $25M Series B in 2024 at a $550M valuation. That's a decade-old company with fresh capital, not a bet on someone's runway.
Constructor sits against Bloomreach and Coveo in enterprise discovery, and it holds its own. The catch is pricing — quote-only, six figures a year, with no public floor to benchmark. Run a scoped pilot on one category, hold them to the eight-week implementation, and check conversion lift before the org-wide deal.
Holds its own against Bloomreach and Coveo on KPI-driven ranking.
Established brand serving 400 billion requests a year lowers adoption risk.
Cited eight-week implementation is fast for an enterprise discovery platform.
Purpose-built for enterprise retailers who have outgrown keyword search.
Founded 2015 with roughly $80M raised and 98.5% three-year retention signals durability.
Enterprise retailers who have outgrown keyword search.
Small stores who need transparent self-serve pricing.
Constructor consolidates six discovery surfaces onto one KPI-tuned engine that merchandisers can still override.
“Constructor runs every discovery surface from one Commerce Reasoning Engine that optimizes toward the KPI you choose. The consolidation is a strong strategic bet for enterprise teams, provided you plan for the vendor concentration it creates.”
The strategic question with any AI discovery engine is whether your merchandisers keep the wheel. Constructor answers it directly — the Commerce Reasoning Engine ranks on real-time behavior, but boost-and-bury rules and built-in A/B experiments let teams override it and test against revenue or margin.
That KPI-targeting is the real differentiator over Coveo and Algolia. Reinforcement learning retunes results after each interaction toward the goal you pick, so browse and collections pages compound toward conversion instead of just matching keywords. Across 400 billion requests a year, that is a lot of signal feeding the model.
The three-year risk is concentration. Running search, browse, recommendations, and offsite discovery on one vendor is efficient, but the switching cost climbs every quarter you deepen it. For a Head of E-commerce who has outgrown keyword search, it is still a bet worth making — just negotiate export terms up front.
KPI-targeting differentiates it clearly from Coveo and Algolia.
Serves every discovery surface enterprise ecommerce teams actually run.
API-first REST and SDK approach connects to existing commerce stacks.
Consolidating all discovery on one vendor concentrates switching-cost risk.
Reinforcement learning retunes results toward a chosen KPI after each interaction.
Heads of e-commerce who want one discovery stack.
Teams who need to avoid single-vendor concentration.
Strong ROI story undercut by quote-only pricing you can't benchmark before a sales call.
“Constructor's KPI-based optimization makes ROI unusually measurable for a discovery platform. The catch is fully quote-based pricing with no public floor, which slows procurement and blocks easy benchmarking.”
Constructor won't show you a number without a sales call. Contracts land in six figures a year, sized to catalog and traffic. For enterprise procurement that is normal, but it kills any quick benchmark.
Where the math turns defensible is ROI. The Commerce Reasoning Engine optimizes toward a KPI you set — revenue, conversion, margin — so lift is measurable against a control. Retail Media can even route ad revenue back through discovery, offsetting part of the license cost.
Two procurement cautions. Quote-based deals carry no published overage or renewal cap, so model a 15-20% year-two increase. And compare hard against Algolia, which publishes usage rates you can forecast. Constructor may win on results, but Algolia wins on the invoice you can predict.
Enterprise procurement is well supported despite opaque list pricing.
Quote-based deals carry no published overage or renewal caps.
No public tiers; pricing requires a sales call for a quote.
KPI optimization makes discovery lift measurable against a control.
Six-figure annual contracts are sized to catalog and traffic.
Buyers who can measure discovery ROI against revenue.
Finance teams who require published pricing to forecast.
Merchandisers keep hands-on control here, but the eight-week setup isn't a self-serve install.
“Constructor gives merchandisers real override control through boost-and-bury rules, A/B tests, and an explainability agent. It takes about eight weeks to implement, so it rewards teams that commit rather than tinker.”
First thing a merchandiser checks: when the engine ranks a hero product on page three, can you pull it up without filing a ticket? Constructor's Merchandiser Controls give you boost-and-bury rules plus built-in A/B experiments, so overrides are hands-on, not a support request.
The Merchant Intelligence Agent is the piece that earns trust. It explains why any result ranks where it does, which is the difference between arguing with a black box and fixing a bad category page. Searchspring and Klevu give you rules too, but rarely the why behind the ranking.
Setup is real work — implementation runs eight weeks through API integration, so this isn't something you spin up on a Tuesday. But once live, the daily loop of curating collections and testing merchandising rules moves faster than keyword tools. The 98.5% retention suggests merchandisers who get there tend to stay.
Boost-and-bury rules let merchandisers override rankings without a ticket.
Public practitioner docs are thin for a closed enterprise tool.
Eight-week implementation means no quick self-serve setup.
Merchant Intelligence Agent explains why any result ranks where it does.
Dashboards fold A/B tests and curation into the daily loop.
Merchandisers who want to override AI rankings directly.
Small teams who need a self-serve install.
Shoppers get a genuinely smarter search, but you'll never see a price without sales.
“Constructor makes storefront search feel smart through its AI Shopping Agent and quizzes, and the operator dashboards look built for daily use. There's no free plan or public price, so you meet it only after your company signs on.”
The piece shoppers feel is the AI Shopping Agent — you describe what you want in plain words and it finds the thing, instead of guessing the keyword the catalog wants. Quizzes do the same for people who don't know what they want yet. That's the good kind of hand-holding.
On the operator side, the dashboards look built for people who live in them daily, with boost-and-bury and A/B tests a few clicks away. It isn't a tool you self-serve into, though — implementation runs 8 weeks, so there's no free-plan tinkering first. You learn it because your company bought it.
Next to Klevu, the personalization feels deeper and less stitched together. Mobile parity isn't really the question here — results render in whatever storefront you run. The catch is you never see a price until you talk to sales, a small wall for a curious operator.
AI Shopping Agent and dashboards feel built for daily hands-on use.
Enterprise tool learned on the job after an eight-week rollout.
Results render in the existing storefront, so mobile isn't a separate surface.
No free plan or self-serve trial; onboarding runs through sales.
Powering 400 billion requests a year signals production reliability.
Operators who run high-traffic storefronts daily.
Curious users who want to trial before buying.
Real ten-year track record and clean exit path, with a beta feature to watch.
“Constructor backs its claims with a decade in business, enterprise scale, and an API-first exit path. The pricing stays hidden and its flagship explainability agent is still in beta, both worth watching.”
98.5% client retention over three years is a strong number. It's also self-reported and unaudited, and 'retention' can quietly count a shrinking account as retained. Still — a decade in business since 2015, and real customers behind 400 billion requests, is not nothing.
The funding shape is interesting. A $55M Series A in 2021, then a smaller $25M Series B in 2024. Down-sized follow-on, or capital-efficient growth — could go either way. The tripled valuation to $550M leans toward the second read.
Exit portability is the pleasant surprise. It's API-first, so leaving for Bloomreach or Coveo means re-pointing integrations, not rebuilding a storefront. The yellow flag is the Merchant Intelligence Agent still in beta — the explainability they market hardest isn't fully shipped yet.
KPI-targeting reinforcement learning is a real edge over Coveo.
API-first design keeps leaving a re-point, not a rebuild.
Tripled valuation to $550M offsets the smaller Series B.
Retention and scale figures are self-reported, and a beta feature is marketed heavily.
A decade since 2015 and real scale back the core claims.
Retailers who value a portable enterprise vendor.
Buyers who need transparent pricing up front.
Common questions answered by our AI research team
Constructor uses quote-based enterprise pricing with no public plans, so you contact sales for a proposal sized to your catalog and traffic. Contracts commonly reach six figures annually, reflecting its focus on mid-market and enterprise retailers rather than small stores.
Yes. Constructor is API-first, exposing REST APIs and SDKs so its results render in web and native mobile storefronts, and it connects to existing catalogs through prebuilt integrations. Its homepage headlines an integrate-with-anything, API-first approach.
The AI Shopping Agent lets shoppers search in natural language and returns products matched to intent, while the Product Insights Agent generates and answers personalized product questions. A Merchant Intelligence Agent explains why each result ranks where it does.
Constructor cites implementations of eight weeks or less, handled with its team through API integration to your catalog. It reports a 98.5% average client retention rate over three years and powers 400+ billion requests annually, signaling production scale.
Constructor ranks results with a Commerce Reasoning Engine that reads real-time shopper behavior and intent, not just keyword matches. Reinforcement learning retunes rankings after each interaction toward KPIs you set, such as revenue, conversion, or margin.
AI-native product discovery platform for enterprise ecommerce, powering search, browse and recommendations from real-time shopper behavior. Based in San Francisco.
