Axoniq for Finance

Event-driven infrastructure for teams building at retail scale.

Axoniq Framework and Axoniq Server give your team the enterprise grade CQRS patterns and event store that runs it in production. Your event log becomes the source of truth — for every order, every catalog update, every supply chain hop — and that history never lies.

See How It Works

Real World Success Stories

Trusted by leading retail institutions

Marketplaces

Mass Merchandise Retail

Home & DIY Retail

Omnichannel Retailers

Supply Chain Operators

Grocery & Food Retail

Why chose the Axoniq Platform

The Axoniq Platform resolves the operational complexity of event-driven systems, cutting feature delivery from quarters to weeks today, while simultaneously establishing the complete contextual history required for audit-ready, explainable AI tomorrow.

Retail Infrastructure Synchronization

At scale, price and stock updates need to propagate across millions of products and thousands of partners in minutes, not batch windows that were already stale before they finished running.

The problem with most catalog architectures is that they couple consumers together: one slow partner or one downstream service with latency backs up everything else.

With event-driven architecture, each consumer — partner feed, search index, pricing engine, mobile API — reads from the same event stream at its own pace. Otto runs 60 million products across 7,000 partners this way, with a 15–30 minute SLA on price and stock propagation, and has done it without a major outage in four years.

FSMA 204 Traceability Request

Romaine Lettuce · SKU-4821 · Recall #RC-2026-0412

Legacy — 4 disconnected systems

ERP

WMS

Phone

Excel

Manual

Query ERP

3h

Warehouse logs

5h

Call grower

8h

Reconcile CSVs

5h

Format response

2h

Incomplete — missing grower info for 2 lots1h left

Event-Sourced — single query

SELECT * FROM events WHERE product_id = 'SKU-4821'

Lot codeTLC-2026-04821

Harvest2026-03-12

GrowerValle Verde Farms

ReceiverNorCal Distribution

Qty2,400 cases

Integrity hash

sha256:e3f8…d94aVerified

Complete response — all KDEs verified0.012s

Regulatory-Grade Audit & Control

FSMA Section 204 requires food retailers to respond to traceability requests within 24 hours with specific key data elements: traceability lot codes, harvest dates, grower information, first receiver details, quantity and unit of measure at each point in the supply chain. Most supply chain systems were built to record current inventory state, not the full sequence of events that moved a product from origin to shelf.

When every supply chain hop is recorded as an ordered, immutable event at the time it happens, a traceability request is a query. You're not assembling records from four disconnected systems under a deadline, you're querying a log that was always complete because that's how the architecture works.

Incident Recovery Without Reconciliation

When a pricing service goes down mid-update, or a catalog sync fails halfway through, the standard recovery path is manual: figure out what processed, figure out what didn't, reconcile the delta, chase partner teams to confirm, restart from an unclear checkpoint. Every step is an opportunity for a gap to open between what the system says happened and what actually happened.

When your system is event-sourced, recovery is replay. You fix the code, identify the last confirmed good event, and reprocess from there. The state that comes out the other end is deterministic; no manual correction, reconciliation window, or catalog inconsistency that lingers for days because someone had to make a judgment call under pressure.

Pricing Batch #1,204

PriceUpdated · 5 events · 10:14:02

Replay from #4,821

Application

Event Store

SKU-3301€19.99→€14.99

#4,819

SKU-7744€49.99→€39.99

#4,820

SKU-8821€29.99→€24.99

#4,821

Service crashed at 10:14:03

Starting replay from #4,821

SKU-2190€34.99→€27.99

#4,822

SKU-6655€12.99→€9.99

#4,823

Inventory Optimization Agent

SKU-8821 · Wireless Headphones

Start

Recommendation: Reorder 1,200 units

Based on 14-day restock cycle, +40% promo demand, 9-day supplier lead time

94% conf.

Inventory Level

Price History

Events

Restock

+500 units received

Promo launched

−€5 discount applied

Promo ends

Price restored to €29.99

Restock

+450 units received

AI Infrastructure for Retail

Recommendation engines, demand forecasting, inventory optimization, and fraud detection all depend on a complete, ordered history of what actually happened. But most retail systems only store current state, while the sequence of decisions that produced it is lost, overwritten, or stripped away by ETL pipelines built for reporting, not reasoning. As a result, AI trains on snapshots that no longer reflect how the business truly operates.

Axoniq changes that. Every inventory move, pricing trigger, fulfillment decision, and customer interaction is captured in full causal sequence and preserved as a core part of the infrastructure. Axoniq Insights connects that history directly to your AI so you can ask a question in plain language and get an answer from your actual event history, not a stale snapshot. When an agent makes a decision, the full causal chain is already there. Built in from the moment it happened.

Otto, Germany

Case Study: The outcomes, in numbers.

14×

Scale without a rewrite Otto grew from 500 to 7,000 partners and 2 million to 60 million products on Axoniq infrastructure.

They did it without a rewrite, without downtime, and without a major outage in four years of marketplace operation at that scale.

9mo

Saved on DIY infrastructure A large US grocery retailer spent nine months stalled on homegrown event infrastructure — integration complexity, missing replay support, fragmented engineering focus.

After moving to Axoniq, the team shipped pricing algorithms and route optimization in weeks. That's nine months of infrastructure work that never had to happen

<24h

FDA traceability on demand FSMA Section 204 requires detailed traceability records within 24 hours of an FDA request.

When every supply chain hop is recorded as an ordered event as it happens, you answer that request with a query against your event log, not by assembling records across disconnected systems under a deadline.

Why chose the Axoniq Platform

A History You Can Prove

Every transaction and decision is captured in order, with full context mathematically verifiable, including retroactively.

→ Audit-ready by design

Recovery Without Consequences

Fix the code, replay from a checkpoint –no manual corrections, unknown blast radius, or permanent mistakes.

→ Deterministic recovery, every time

Evidence That Truly Holds Up

Audit-grade evidence built into the architecture from day one, not bolted on after the fact.

→ Compliance by design, not by policy

Safe AI Adoption for Regulated Industries

Every AI agent action is logged with complete provenance, explainable to regulators, auditors, and internal teams.

→ Agentic AI with an audit trail

Scale Without Sacrificing Correctness

Axoniq scales coordination and correctness, so high throughput never compromises consistency guarantees.

→ Performance without tradeoffs

The answer exists before the question does

End-to-end causality is preserved across systems, teams, and time. When a question arises, the answer is already there.

-> Full causal lineage, on demand

Fifteen Years of Production Experience

Every edge case in financial-grade event sourcing from ordering under load to settlement integrity at scale is already solved.

-> Deterministic event ordering

See What Provable Control Looks Like in Your Environment

Sign up for a 30-minute session tailored to financial services. One of our experts will show you how Axon Framework and Axon Server together handle your specific needs, such as payments, AI governance, client lifecycle, or compliance reconstruction. No feature demo. No generic slides.

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