Operator-Led. AI-Supported.

Technology Decisions
Made By Operators.
Supported By AI.

Most retailers are living with low-level system pain.

Disconnected data. Manual workarounds. Integration debt. Reports nobody trusts.

Cogent combines experienced operators and AI agents to identify issues, improve systems and deliver meaningful change.

Trusted by operators running complex retail technology stacks

The Cogent Model

Experienced operators, supported by AI

Operators provide judgement. AI provides scale. The combination delivers better outcomes than either could alone.

The primary story

Experienced Operators

Consultants who have run, built and fixed retail technology in the real world. This is where the expertise lives — earned through years of delivery, not training.

  • Architecture decisions
  • Implementation leadership
  • Technology selection
  • Ecosystem design
  • Operational expertise

AI Amplification

Always-on systems that watch the stack continuously and surface what operators need to act on.

  • Monitoring
  • Analysis
  • Recommendations
  • Observability
  • Continuous improvement

Better Together

AI is not the hero. Operators are. AI is the multiplier — amplifying experience, judgement and architectural knowledge so retailers make better decisions and execute them successfully.

Where Our Knowledge Comes From

Our knowledge is built through doing

Cogent's intelligence is not theory. It is earned in real environments, on real projects, with real consequences.

Designing retail technology stacks

Implementing ERP platforms

Fixing integration failures

Running technology audits

Supporting complex operations

Helping retailers scale internationally

Optimising existing ecosystems

Making technology decisions alongside operators

Not vendor training

Not marketing material

Not theory

Real environments.

Real projects.

Real consequences.

Why Operators Call Cogent

Why businesses bring us in

Operators don't call us for a feature list. They call us when something is clearly wrong and they need someone who has seen it before.

  • Reporting doesn't match reality
  • Returns are creating manual work
  • ERP projects have stalled
  • Nobody trusts inventory numbers
  • Teams are spending too much time reconciling data
  • New platforms keep creating new problems

What We Actually See

The problems behind the problems

Most retailers don't have a software problem. They have an operations problem that software keeps failing to fix.

Finance Doesn't Trust Inventory

ERP says one thing.

Warehouse says another.

Nobody trusts the numbers.

Returns Create Manual Work

Customer service.

Operations.

Finance.

All working from different information.

Every New Tool Creates More Complexity

Technology stacks expand.

Visibility shrinks.

Spreadsheet Shadow Systems

The business says it runs NetSuite.

The business actually runs Excel.

Common Failure Patterns

The patterns we see again and again

These aren't edge cases. They're the recurring architectural faults beneath most retail technology pain — and we know exactly how they play out.

01

Inventory Truth Split Across Systems

Symptoms

  • Stock discrepancies
  • Conflicting reports
  • Finance disputes

Impact

Teams stop trusting the numbers and revert to manual checks.

Typical Outcome

Slower decisions and persistent write-offs.

02

Returns Exist Outside Core Architecture

Symptoms

  • Manual returns
  • Exchange errors
  • Disconnected refunds

Impact

Customer service, ops and finance work from different data.

Typical Outcome

Rising cost-to-serve and customer frustration.

03

Integration Debt

Symptoms

  • Duplicate workflows
  • Hidden failures
  • Growing maintenance

Impact

Every new platform adds fragility instead of capability.

Typical Outcome

Change becomes slow, risky and expensive.

04

Nobody Owns The Data

Symptoms

  • Conflicting reports
  • Duplicated records
  • No single source

Impact

Decisions are made on numbers nobody fully stands behind.

Typical Outcome

Leadership loses confidence in reporting.

Decision Support

Technology decisions are expensive

The wrong platform choice costs years and budgets. We help you make these decisions with operator experience and evidence — not vendor sales decks.

Common Retail Ecosystems

We understand the whole stack

Real retail technology doesn't live in one platform. We work across the combinations operators actually run.

Fashion Retail

Shopify
NetSuite
Sitoo
Reveni

High Growth DTC

Shopify
Cin7 Core
Klaviyo
Loop

Multi-Entity Retail

Shopify
NetSuite
Patchworks
Peoplevox

Meet The Operators

The people are the product

Cogent is led by operators who have built, run and fixed complex retail technology. This experience is what AI amplifies — and what you actually buy.

Andy Richley

Andy Richley

Operating Partner

Legend of the technology game. ERP, ecommerce, logistics and systems expert with decades of hands-on delivery.

Nathan King

Nathan King

Head Of Technology

Seasoned integrator and app developer extraordinaire. Lives in the architecture where systems meet reality.

David Wiltshire

David Wiltshire

Growth & Ecosystem

Ecommerce entrepreneur and growth specialist with a broad, operator-level view of the entire retail ecosystem.

Combined experience

Retail operationsERPIntegrationCommerceLogisticsTechnology leadership

The value of Cogent is not access to software. It is access to people who have spent years solving these problems in real environments.

What We've Seen

Experience across the entire retail stack

The scale of what we've delivered is what makes the advice reliable. We have seen how these systems behave when they meet real operational pressure.

Worked across ERP, WMS, OMS, ecommerce and integration projects.

Supported retailers operating internationally across multiple markets and entities.

Delivered architecture decisions across complex technology ecosystems.

Helped brands scale through platform migrations, operational change and ecosystem redesign.

Operator Memos

Most businesses evaluating ERP replacement have a process problem before they have an ERP problem.

The biggest cost in ecommerce is rarely software. It is manual work created by poor architecture.

Every integration eventually becomes an operational process.

Cogent AI

The intelligence layer behind Cogent

Cogent AI supports operators. It does not replace them. Its knowledge is built from years of working with retailers, designing technology stacks, solving integration challenges, implementing systems and supporting complex operations.

Supports operators.

Does not replace them.

Explore Cogent AI

Built from

Architecture decisions
Integration patterns
Retail technology ecosystems
Implementation experience
Operational outcomes
Technology audits
Solution design expertise
Operator knowledge
Support and optimisation work

How Cogent Works

A clear path from pain to progress

01

Analyse

Understand your ecosystem.

02

Diagnose

Identify where problems originate.

03

Recommend

Prioritise what matters.

04

Execute

Deliver meaningful change.

05

Improve

Continuously optimise.

The Cogent Difference

Independent by design

We work with third-party software so we can focus entirely on customer service, strategy, implementation and integration excellence.

Unlike vendors

We are not trying to sell software.

Unlike single-platform consultancies

We are not incentivised to recommend one platform over another.

Unlike pure AI tools

We understand the operational reality behind the recommendations.

Unlike traditional agencies

We focus on solving operational problems, not producing deliverables.

Trusted by leading retail brands:CastoreLoungeOliver BonasGreen PeopleTatty DevineCult

Not sure where the problem starts?

Most businesses know something is wrong.

Few know where to look.

Talk to an operator. We'll help identify the root cause.