Verticals E-commerce
E-commerce for merchants and marketplace operators
Through Harmony CVM we build and operate multi-merchant marketplaces end to end — then run them with agents on a company-specific ontology. Catalog, sellers, orders, loyalty, support, and settlements share one executable model of how your commerce actually works.
In production
Marketplaces we already build and run
Private and multi-seller commerce launched with Harmony — operated day-to-day with marketplace automation on a shared commerce ontology.
$1M+
Revenue in first 60 days — loyalty marketplace
23k+
Orders from loyalty customers in the same window
30k+
Products live from 250 merchants onboarded
15–45d
Typical time-to-implementation for a new marketplace
Company knowledge
Ontology in. Agents execute
Generic marketplace software still needs tribal ops. We encode how your company sells — then put agents on that graph so launch, onboarding, and day-to-day management compound instead of restarting.
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Encode the company
Capture how this brand actually sells — catalog rules, seller SLAs, loyalty burn logic, support playbooks — into a living ontology unique to that operator.
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Deploy agents on the graph
Agents onboard merchants, triage tickets, sync inventory, and draft settlements against policy — escalating only when constraints break.
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Compound institutional knowledge
Every exception, override, and successful resolution feeds the model. The marketplace gets smarter without rewriting SOPs by hand.
Platform
One-stop marketplace — run by agents
The Harmony CVM surface your operators already know — customized storefronts, merchants, orders, support, analytics, loyalty, gift cards, APIs — with Automata’s ontology and agents doing the work that used to live in SOPs and headcount. Harmony marketplace platform
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Customized marketplace
Templates or bespoke UX — backed by the same commerce ontology. Agents keep experience changes aligned with catalog, policy, and brand rules.
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Merchant management
Onboard 3P sellers and earn commission. Ontology encodes payment, support, and performance policy; agents run applications, KYC checks, and catalog QA.
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Order management
1P and 3P orders on one graph — from cart to payout. Agents orchestrate status, exceptions, and settlement against your company’s operating knowledge.
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Customer support
Support policies as code. Agents resolve routine tickets from the ontology; humans take the edge cases — or Harmony ops partners own the queue.
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Platform analytics
Marketplace health mapped to entities — GMV, seller quality, loyalty burn, SLA breaches — not a disconnected BI dashboard.
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Operations outsourcing
Own the brand; outsource the boring work. Partners and agents execute the same policy graph, so outsourcing doesn’t mean losing institutional knowledge.
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Influencer features
Experiences, curated drops, and audience loyalty on the same multi-seller model — agents handle partner onboarding and fulfillment exceptions.
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Loyalty points
Points, eligibility, and burn rates as first-class ontology. Agents enforce redemption policy at checkout and keep settlements auditable.
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Gift cards
Issue, share, and redeem as policy-governed entities — linked to members, merchants, and ledger events agents can reconcile.
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API connectivity
UI or API into the same graph. Headless storefronts and partner systems consume the ontology — agents keep mappings and sync jobs alive.
The problem
Merchant automation is not the same as marketplace infrastructure
An agentic OS for deliveries and returns helps a shop scale. Operators who own multi-merchant marketplaces — brands, creators, card programs, travel platforms — still need a shared model of sellers, catalog, commissions, and customer experience. That is the gap we close.
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Commerce ontology
Catalog, inventory, seller, buyer, order, shipment, return, commission, and loyalty points share one model — whether you run a single brand storefront or a multi-merchant marketplace.
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Policy as code
Delivery promises, return rules, commission splits, seller SLAs, and loyalty redemptions stop living in tribal ops. They become rules the system can check before an order moves.
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Operate both sides of the network
Automate the merchant desk and the marketplace control plane — onboarding, curation, settlements, and post-purchase — on the same ontology instead of stitching another tool per role.
Who we build for
Same platform. Different commerce role
From DTC brands to marketplace owners and loyalty programs — one ontology, tuned per party.
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DTC merchants & brands
Checkout, carriers, tracking, returns, and support still sit in separate tools — every new market multiplies ops instead of compounding knowledge.
- → One ontology across catalog, promise, fulfillment, and return policy
- → Simulate a carrier or returns change before it hits live checkout
- → Agents that execute inside your rules — not a black-box autopilot
Post-purchase that scales with revenue, not with headcount.
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Marketplace operators
Owning a multi-seller marketplace means merchant onboarding, curation, commissions, CX, and settlements — far beyond shipping labels for one brand.
- → Shared model for 1P + 3P catalog, sellers, and customer journeys
- → Policy packs for commission, fulfillment SLAs, and seller performance
- → Full-service ops or owner-run — same ontology either way
A marketplace that compounds merchant network value — not another storefront rebuild.
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3P merchants & supplier networks
Selling into private marketplaces means fragmented listings, inventory sync, and order workflows across owners who each run different rules.
- → Entity graph of marketplace, listing, inventory, and order obligations
- → Reusable mappings into each operator’s policies and APIs
- → Onboard in days, not months — apply once, sell across private channels
Reach more private channels without a custom integration per deal.
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Loyalty & points programs
Card and membership programs want commerce as a redemption surface — but points, merchants, and fulfillment rarely share a durable model.
- → Ontology linking member, points balance, SKU, merchant, and settlement
- → Policy for eligibility, burn rates, and fraud-adjacent constraints
- → Outsource marketplace ops while the brand owns the customer relationship
Loyalty commerce that launches in weeks and stays governable at volume.
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Creators & influencer commerce
Audience is the asset — ops is the tax. Most creator shops stall when shipping, returns, and merchant curation become a second job.
- → Launch a curated marketplace without owning every SKU yourself
- → Encode audience-specific delivery and return promises as policy
- → Offload admin to automated ops while keeping brand control
Monetize the audience without building a logistics company by accident.
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Travel & experience marketplaces
Experiences, tickets, and local inventory behave unlike SKUs — yet operators still force them into generic storefronts.
- → Entities for experience, availability, operator, and guest obligation
- → Policy for cancellation, capacity, and partner payouts
- → Same platform pattern as product marketplaces — tuned to the domain
Experience commerce that scales like product commerce, without losing the product’s shape.
Position
Beyond the merchant logistics OS
Post-purchase tools unify shipping for a store. We run the full marketplace stack — and claim the hard part: turning each company’s unique operating knowledge into ontology that agents can execute at scale.
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More than merchant autopilot
Shipping and returns agents help one brand. We run the full marketplace surface — merchants, commissions, loyalty, support, analytics — with agents bound to company-specific knowledge.
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Proven in live marketplaces
Through Harmony CVM we already build, launch, and operate multi-merchant and loyalty marketplaces — ontology and agents against real order flow, not a slide deck.
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Unique company knowledge, automated
Every marketplace encodes different rules. Automata turns that institutional knowledge into an ontology agents can execute — so ops compounds instead of resetting with each hire.
Next
Bring us a brand, a marketplace, or a network
Bring a brand, a loyalty program, or a multi-seller network. We’ll encode how you actually operate — then show agents running marketplace ops against that ontology.