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Ardentisys builds Customer 360 data foundations, RAG-powered service chatbots, and real-time inventory pipelines that enable seamless personalisation, forecasting, and pricing changes.

15+YEARS CREATING SUCCESS WITH CLIENTS

RETAIL

Know your customers. Anticipate demand.

Know your customers. Anticipate demand.

Retail data is spread across stores, ecommerce platforms, point-of-sale systems, loyalty programmes, product catalogues and supply chains. When those systems are not aligned, retailers struggle to maintain an accurate view of customers, transactions and stock.

Ardent connects these sources into a trusted data foundation that supports personalisation, forecasting, real-time inventory visibility and consistent decision-making across physical and digital operations.

80%

Improvement in reporting data turnaround

We redesigned how large datasets are processed so teams received the information they need much sooner.

224M

Data records processed every hour

Ardent built a scalable data platform processing approximately 224 million records per hour, enabling faster, more reliable reporting.

OUR APPROACH

From Data to Impact

A structured approach to help you move from data readiness to real business value, with governance and operational excellence built in.

01 Connect the channels

Unify store, ecommerce, POS, loyalty and supply-chain data.

02 Resolve identities

Create consistent customer, product and inventory records across systems.

03   Activate decisions

Power personalisation, replenishment, pricing and trusted reporting.

04  Scale through peaks

Monitor and optimise the platform around campaigns and seasonal demand.

CAPABILITIES

Connecting Retail Data Across Every Channel

We connect customer, product, inventory and transaction data to create the trusted foundations for personalisation, forecasting and faster omnichannel decisions.

Data for AI

Create a trusted Customer 360 and product foundation that improves personalisation, recommendations, intelligent search and forecasting.

✓

Customer 360 foundations

create a connected view of each customer to improve personalisation and recommendation quality.

✓

AI-ready product and inventory data

mprove search, recommendations and availability decisions with consistent product information.

✓

RAG pipelines for retail assistants

ground service and product-search chatbots in approved, up-to-date retail information.

✓

Forecasting and pricing data preparation

give models cleaner inputs for demand planning and responsive pricing.

Data for AI

Create a trusted Customer 360 and product foundation that improves personalisation, recommendations, intelligent search and forecasting.

✓

Customer 360 foundations

create a connected view of each customer to improve personalisation and recommendation quality.

✓

AI-ready product and inventory data

mprove search, recommendations and availability decisions with consistent product information.

✓

RAG pipelines for retail assistants

ground service and product-search chatbots in approved, up-to-date retail information.

✓

Forecasting and pricing data preparation

give models cleaner inputs for demand planning and responsive pricing.

Data for Automation

Keep stores, ecommerce, loyalty and supply-chain systems synchronised so inventory, transactions and customer activity can drive timely automated action.

✓

Real-time inventory and POS pipelines

Keep stock and sales visibility current across stores and ecommerce.

✓

Online and offline transaction synchronisation —

Maintain a consistent view as purchases and updates happen.

✓

Automated loyalty, promotion and supply-chain data

Reduce manual processing and keep connected programmes current.

✓

Event-driven fulfilment and replenishment

Trigger timely action as stock, orders and delivery conditions change.

Data for Automation

Keep stores, ecommerce, loyalty and supply-chain systems synchronised so inventory, transactions and customer activity can drive timely automated action.

✓

Real-time inventory and POS pipelines

Keep stock and sales visibility current across stores and ecommerce.

✓

Online and offline transaction synchronisation —

Maintain a consistent view as purchases and updates happen.

✓

Automated loyalty, promotion and supply-chain data

Reduce manual processing and keep connected programmes current.

✓

Event-driven fulfilment and replenishment

Trigger timely action as stock, orders and delivery conditions change.

Data for Reporting

Data for Reporting Give commercial and operational teams one dependable view of customers, sales and stock, improving availability, planning and omnichannel performance.

✓

Unified omnichannel dashboards

Show sales, stock and channel performance in one trusted view.

✓

Retail data observability

tch stockout, overstock and reporting errors before they affect planning and customer experience.

✓

Trusted executive metrics

Give leaders consistent commercial and operational figures across every channel.

✓

Customer and product metric governance

eep definitions consistent across stores, ecommerce, loyalty and merchandising teams.

Data for Reporting

Data for Reporting Give commercial and operational teams one dependable view of customers, sales and stock, improving availability, planning and omnichannel performance.

✓

Unified omnichannel dashboards

Show sales, stock and channel performance in one trusted view.

✓

Retail data observability

tch stockout, overstock and reporting errors before they affect planning and customer experience.

✓

Trusted executive metrics

Give leaders consistent commercial and operational figures across every channel.

✓

Customer and product metric governance

eep definitions consistent across stores, ecommerce, loyalty and merchandising teams.

Managed Data Ops

Keep retail data platforms available, scalable and cost-controlled through peak trading periods, campaign surges and changing demand. dependable across plants, systems and regions.

✓

Elastic managed platforms

Scale data capacity around peak trading without permanently overprovisioning infrastructure.

✓

24×7 critical-period monitoring

Protect availability during promotions, seasonal peaks and high-volume trading.

✓

M&A data migration

mprove performance, resilience and cost without weakening governance.

✓

Incident response and peak readiness

Resolve service risks quickly and prepare platforms for predictable demand surges.

Managed Data Ops

Keep retail data platforms available, scalable and cost-controlled through peak trading periods, campaign surges and changing demand. dependable across plants, systems and regions.

✓

Elastic managed platforms

Scale data capacity around peak trading without permanently overprovisioning infrastructure.

✓

24×7 critical-period monitoring

Protect availability during promotions, seasonal peaks and high-volume trading.

✓

M&A data migration

mprove performance, resilience and cost without weakening governance.

✓

Incident response and peak readiness

Resolve service risks quickly and prepare platforms for predictable demand surges.

TECHNOLOGIES

The stack behind dependable delivery.

Proven platforms, selected for the job—not forced into it.

CLOUD INFRASTRUCTURE
Azure
GCP
AWS
DATA & AI PLATFORMS
Databricks
Snowflake
DATABASES & VECTOR STORAGE
MongoDB
Redshift
Technology
SQL
Dynamo
INTEGRATION, PIPELINES & TRANSFORMATION
Airbyte
Fivetran
Kafka
BI & CUSTOM DASHBOARDS
Power BI
Tableau
Periscope
OBSERVABILITY & QUALITY
Datadog
Monte Carlo
Pageduty
ENGINEERING AND DEVELOPMENT
GitHub
Python
INTEGRATION, PIPELINES & ETL
Klaviyo
Hightouch
View all technologies→

TRUSTED BY TEAMS WHO DEPEND ON THEIR DATA

❝

I have been delighted with the way Ardent proactively communicate with my business… I get an immediate response very quickly from the business.

Christian Simon — Managing Director

FEATURED SUCCESS STORY

Intelligent platform to automate information security

SUCCESS STORY

Intelligent platform to automate information security

Automating pre-release content-leak detection across digital channels for a global market-research business.

Explore all success stories →

TRUSTED BY TEAMS WHO DEPEND ON THEIR DATA

❝

I have been delighted with the way Ardent proactively communicate with my business… I get an immediate response very quickly from the business.

Christian Simon — Managing Director

FEATURED SUCCESS STORY

Intelligent platform to automate information security

SUCCESS STORY

Intelligent platform to automate information security

Automating pre-release content-leak detection across digital channels for a global market-research business.

Explore all success stories →

TRUSTED BY TEAMS WHO DEPEND ON THEIR DATA

❝

I have been delighted with the way Ardent proactively communicate with my business… I get an immediate response very quickly from the business.

Christian Simon — Managing Director

FEATURED SUCCESS STORY

Intelligent platform to automate information security

SUCCESS STORY

Intelligent platform to automate information security

Automating pre-release content-leak detection across digital channels for a global market-research business.

Explore all success stories →

NEWS

Latest Insights

Explore expert perspectives, practical advice and fresh thinking on data engineering, AI and technology. Drawing on real-world challenges and hands-on experience, our insights share lessons, emerging trends and ideas to help businesses make smarter technology decisions.

AI Readiness

Why Targeted Advertising Depends on Better Data Pipelines

Why better advertising intelligence depends on the pipelines behind retail, viewing and campaign data, and how reliable preparation, governance and responsiveness turn fragmented signals into usable insight.

Jack Bailey

Read insight

AI Readiness

Data Platform Modernisation: When to Retain, Modernise or Migrate

A practical framework for deciding whether to retain, modernise or migrate a data platform by identifying the true constraint, comparing total cost and risk, and changing only what the evidence justifies.

Jack Bailey

Read insight

AI Readiness

Can You Trust AI Reporting? Understanding Hallucinations in Data and Dashboards

How AI reporting can generate wrong business answers even when the underlying data is sound, and the controls needed to keep metrics, explanations, forecasts and recommendations traceable and trustworthy.

Jack Bailey

Read insight

AI Readiness

The Most Dangerous Dashboard Is the One That Looks Right

Why polished dashboards can still hide unreliable numbers, and how organisations can rebuild reporting trust through clear definitions, reconciliation, ownership, data-quality controls and traceable metrics.

Jack Bailey

Read insight

AI Readiness

Why Targeted Advertising Depends on Better Data Pipelines

Why better advertising intelligence depends on the pipelines behind retail, viewing and campaign data, and how reliable preparation, governance and responsiveness turn fragmented signals into usable insight.

Jack Bailey

Read insight

AI Readiness

Data Platform Modernisation: When to Retain, Modernise or Migrate

A practical framework for deciding whether to retain, modernise or migrate a data platform by identifying the true constraint, comparing total cost and risk, and changing only what the evidence justifies.

Jack Bailey

Read insight

AI Readiness

Can You Trust AI Reporting? Understanding Hallucinations in Data and Dashboards

How AI reporting can generate wrong business answers even when the underlying data is sound, and the controls needed to keep metrics, explanations, forecasts and recommendations traceable and trustworthy.

Jack Bailey

Read insight

AI Readiness

The Most Dangerous Dashboard Is the One That Looks Right

Why polished dashboards can still hide unreliable numbers, and how organisations can rebuild reporting trust through clear definitions, reconciliation, ownership, data-quality controls and traceable metrics.

Jack Bailey

Read insight

AI Readiness

Why Targeted Advertising Depends on Better Data Pipelines

Why better advertising intelligence depends on the pipelines behind retail, viewing and campaign data, and how reliable preparation, governance and responsiveness turn fragmented signals into usable insight.

Jack Bailey

Read insight

AI Readiness

Data Platform Modernisation: When to Retain, Modernise or Migrate

A practical framework for deciding whether to retain, modernise or migrate a data platform by identifying the true constraint, comparing total cost and risk, and changing only what the evidence justifies.

Jack Bailey

Read insight

AI Readiness

Can You Trust AI Reporting? Understanding Hallucinations in Data and Dashboards

How AI reporting can generate wrong business answers even when the underlying data is sound, and the controls needed to keep metrics, explanations, forecasts and recommendations traceable and trustworthy.

Jack Bailey

Read insight

AI Readiness

The Most Dangerous Dashboard Is the One That Looks Right

Why polished dashboards can still hide unreliable numbers, and how organisations can rebuild reporting trust through clear definitions, reconciliation, ownership, data-quality controls and traceable metrics.

Jack Bailey

Read insight

Ready to make your data work harder?

We build and manage the data foundations that remove the quality, consistency and reliability issues holding back AI, automation and better decisions.

BOOK A CONVERSATION →