Commerce lifecycle
Your storefront stays your storefront. Your 3PL stays your 3PL. KarmanFlow is the governed command + receipt + event layer that sits between the systems you already run, keeping them telling the same story from catalog through customer service. Same approval boundary at every step. Same audit trail. No system replacement.
Where KarmanFlow comes in
Most commerce stacks are six or seven systems with glue code holding them together. Replacing any one of them is a year-long migration; replacing the glue isn't on the menu. KarmanFlow makes the glue the product: a governed layer that sits between your existing systems and turns every cross-system action into a receipt your team can replay.
Storefront, OMS, inventory store, 3PL, carrier, and customer service each carry their own version of the order. Glue code between them is the operating model. When the glue breaks, your team patches by hand.
Your storefront stays your storefront. Your 3PL stays your 3PL. KarmanFlow is the command + receipt + event layer that keeps them telling the same story. Every action that crosses a system boundary leaves a receipt.
Customer service answers from one timeline. Finance reconciles from one event stream. AI agents act through the same approval boundary humans use. The glue code that used to be your operating model becomes a governed layer that ships with the audit trail built in.
The chain, in one view
Each stage is tagged with the side of the seam it lives on: "Your stack" (storefront, 3PL, carrier, CS desk), "KarmanFlow" (the governed layer), or "Handoff" (where both sides participate). The buy button is the moment ownership transfers from your storefront to the KarmanFlow reservation and back out to your fulfillment chain.
Before the buy
The buy button is a contract with the customer. If it lies about availability, price, or eligibility, you spend the next two weeks cleaning up cancellations, refunds, and angry tweets. These four things have to hold before the button can render.
On-hand, reserved, incoming, allocated, and safety-stock resolve into one number with a freshness budget. No more cached counts that bite at 11pm.
Storefront, marketplaces, retail partners, and B2B feeds are designed to see the same answer. When stock moves in one place, publication freshness follows the budget proven for that connector.
Which location ships, which partner picks, which carrier moves it. Modelled, simulated, and committed before the customer ever sees the page.
Promotions, segment eligibility, tax and currency for the customer region resolve on the catalog read. The buy button is what the customer can actually buy.
The buy moment
This is where most platforms fall apart. Race conditions on the last unit, oversell defaults that nobody documented, channel availability that drifts for ten minutes. KarmanFlow lands the reservation as one atomic write with a receipt and an event.
A single Postgres transaction writes the reservation, the inventory ledger entry, the receipt, and the event. Either all of it lands or none of it does.
Two customers race for the last unit and one gets the receipt. The other gets a clean conflict, not a silent oversell. Optimistic concurrency enforced at the schema layer.
The same reservation path invalidates cached channel answers. Other channels see the new truth within the proven freshness budget for that target system.
STRICT, BACKORDER, or ALLOW_OVERSELL_PCT. The policy you set is enforced here, in code, not in someone head. The decision lives on the receipt.
After the buy
A successful buy is the start of work, not the end. Allocation, fulfillment orchestration, shipment tracking, returns, and customer service all have to run on the same governed pattern so a Monday morning standup is not a manual reconciliation.
Best location, best partner, best carrier. Proposed, simulated, compared, then committed. Allocation overrides and exceptions are audited, not silent.
Pick, pack, and ship handoffs to your 3PL or warehouse with retry, replay, and exception routing. The same governed pattern whether you have one warehouse or fifty.
Carrier events flow back as immutable signals. Delivery-status questions become queries, not stitched timelines. Delivery exceptions surface as governed actions, not email threads.
Return authorization, refund initiation, and customer-service work all run through the same command boundary. Every action carries actor, decision, and receipt.
Lower implementation and maintenance cost
Most of the cost of running a modern commerce operation is the glue between systems that almost agree. KarmanFlow replaces the glue with a governed layer. The systems you already own stay; the mesh between them becomes one auditable path.
Replace the brittle integration mesh between OMS, inventory, fulfillment, and customer service with one governed plane. The systems you already own stay; the glue code goes.
Every channel, marketplace, 3PL, and carrier integration uses the same connector framework: same auth, same retry, same audit, same replay. The fifth integration takes a week, not a quarter.
Every state change has a receipt. Customer service questions, finance reconciliation, and regulator requests answer from one queryable trail. No more let-me-check-four-systems-and-get-back-to-you.
Your agents already have a place to act safely. You do not also build an AI ops dashboard, an AI permission system, and an AI audit log. The boundary you built for humans is the boundary agents use.
Built for a changing world
New channels, new payment methods, new fulfillment partners, new regulations land every quarter. The teams that win are not the ones who guess the future correctly; they are the ones whose operating model absorbs change without rebuilding the write path.
TikTok Shop launches, your wholesale buyer demands EDI 850, your D2C app starts checking out. Each lands as a connector that writes through the same command path. No new write code.
Local payment methods, buy-now-pay-later, real-time bank transfer, regional card schemes. Provider events flow into the same payment receipt stream finance already reads.
Your 3PL changes, you add a regional warehouse, you spin up a micro-fulfillment node. The fulfillment orchestration does not change shape. The connector does.
Privacy law tightens, refund windows shift, tax rules change. Policy is data, not code branches. Update the policy; the same approval and audit boundary enforces it everywhere.
Agent and AI ready by default
You do not bolt agents onto a commerce stack. You build a stack with a real action boundary, then decide which preview actions are safe for agents to call. The governed boundary that protects your operators is the boundary your agents use.
Reservation, allocation, fulfillment exception, refund, and customer-service actions are designed as governed commands. Adding an agent uses that boundary instead of a separate write path.
The risk classes that gate your operators also gate your agents. R2 changes wait for a named human, R3 changes stay human-only. No agent fast path, no shadow scope.
Proposed by agent, approved by user, executed against the same rules. The receipt records both identities. Replay and audit are first-class, not bolt-on.
Anthropic, OpenAI, Google, open weights, fine-tuned in-house. Connect through the MCP catalog and the same boundary enforces every tool call. The model is interchangeable; the boundary is not.
Core models, global rollouts, local where it matters
Global rollouts fail when each new market becomes a parallel codebase. KarmanFlow keeps the core execution model identical across tenants and regions; what changes per region is policy, currency, payment methods, and partner choice, declared on top.
Commands, events, receipts, policy, and approval are the same shape in every tenant and every region. A rollout to a new country reuses the core; only the overrides change.
Currency, tax engine, compliance posture, data residency, retention windows. Declared per region, enforced by the same boundary. No India branch of the codebase.
UPI in India, iDEAL in the Netherlands, PIX in Brazil, regional 3PLs, regional carriers, regional channels. Each lands as a connector or policy module on the core, not a parallel system.
One audit trail for global ops and compliance. Regional teams get scoped dashboards on the same event stream. No data duplication, no reconciliation drift.
The customer sees a button. Your team sees a contract. Operations sees a chain of governed actions, each with a receipt. AI agents see typed tools with the same approval boundary humans use. One system. One audit trail. One way to change something.The KarmanFlow team
See it run end to end
We map the chain to your shape (DTC plus marketplaces, single 3PL, multi-warehouse, brand wholesale), seed a preview workspace, and show the first receipt before you commit to anything.
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