
Campaign launch time fell about 75%, with 15% more conversions than the ads already running.
Shoppers describe the room they are furnishing and get the right fixture back.
A shopping agent that takes "I want my dining room warmer" and returns the right fixture.
Takes a described outcome rather than a product name, asks its own clarifying questions, and returns a curated set of fixtures.
Lighting is bought for a room, not by name. A shopper types a keyword because the search box requires one, but the thing in their head is a statement light for an entryway or a dining room that feels warmer.
Keyword matching cannot bridge that. It returns products that contain the words rather than products that solve the problem, and the shopper leaves without a way to describe what they meant.
Ask Cleo is Constructor's AI Shopping Agent, deployed on lightopia.com and reachable from the search bar. The experience runs end to end on Constructor's intent understanding and retrieval services rather than on keyword matching over an index.
Integration is through Constructor's shopping agent and intent APIs plus the front-end experience, with behavioral tracking for measurement.
Constructor built and operates the agent; Lightopia deployed it and branded it.
Constructor is behind this solution. Ask about helping shoppers who cannot name the product, and the MACH Alliance will put you in touch with the person who can answer.
Not ready to talk to anyone? MACH Insider is the Alliance mailing list. New solutions, program openings, and the research behind them, once a month.
Everyone credited on this solution
Every organization named here has a page listing the rest of its work on the Hub.

Campaign launch time fell about 75%, with 15% more conversions than the ads already running.

A shopping assistant that lifted conversion 25%, taken from a split test to all traffic.

Campaign setup is 75% faster and coupon generation 99% faster, with no developer involved.
Contributor submission
The detail on this page comes from the contributor's own account of their own work. The MACH Alliance reviews a submission before publishing it and does not independently verify the figures in it.
Where this came from
Solution detail is published from the contributor's 2026 Agent Ready submission to the MACH Alliance. Submitter names and contact details are not published.
Put your agentic solution in front of the enterprise leaders who use the hub to decide what to build next. Submissions are open to MACH Alliance Members, Collaborators, or Ambassadors.