Broken integrations surface where the team already works, and are fixed without opening the platform.
Psycho Bunny Store Replenishment Agent
Stock moves to where demand actually is, cutting stockouts and lost sales across four stores.
Inventory and order data drive an agent that decides where and when to replenish, live in four stores.
What the agent does
Reads stock and order history to work out demand, then recommends what to replenish, when, and to which location.
- Brand
- Psycho Bunny
- Built by
- Intelo.ai
- Contributed by
- Fluent Commerce (Order management system), Intelo.ai (Replenishment agent)
- Industry
- Retail, Apparel & Footwear
- Audience
- B2C
01
The problem
Why this exists
Store replenishment is decided on a cadence rather than on demand, because working out the right quantity for the right location takes longer than the cadence allows. The result is stock in the wrong place: a stockout in one store while another marks the same item down.
Read more
The data needed to do better already exists in the order management system. What is missing is something that reads it continuously and acts on the pattern rather than on the calendar.
02
Outcomes
What changes when this is in place
- Stockouts fall because replenishment is decided on demand rather than on a fixed cadence.
- Underselling is avoided, so stock available in one location is sold rather than left sitting there.
- Margins improve because replenishment decisions account for where demand is rather than where the stock happens to be.
Read more
- The agent is live in four stores, so this is a staged rollout rather than a chain-wide deployment.
03
How it works
Architecture
Inventory and order data held in Fluent Commerce is consumed by the Intelo.ai agent, which determines ordering patterns and expected demand. On that basis it recommends where and when to replenish inventory, and to which locations.
Read more
Integration is over APIs and webhooks. The webhook path matters: replenishment quality depends on reacting to inventory movement as it happens rather than on a scheduled pull.
Intelo.ai built and operates the agent. Fluent supplies the inventory and order system it reasons over.
Open standards used
REST APIsWebhooks
Tech stack
Fluent Commerce OMSIntelo.ai replenishment agent
Resources
Next step
Request an intro
Fluent Commerce is behind this solution. Ask about getting stock to the right store, 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
- Fluent CommerceOrder management system
- Intelo.aiReplenishment agent
Every organization named here has a page listing the rest of its work on the Hub.
Related solutions
Campaign launch time fell about 75%, with 15% more conversions than the ads already running.
Otrium Ad Creative Agent
Agent Ready Award Agentic Achievement Award
100 product descriptions in 30 minutes, against 100 a day by hand.
Matalan Product Description Generation
Verification
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.
Status: Staged rolloutAdded Jul 8, 2026A listing is an editorial decision, not a MACH Alliance certification.
Built something worth showing?
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.