Enhance your retail operations with advanced AI and data analytics powered by Databricks — smarter, more efficient, customer-centric decisions.
Most retail organisations operate with data dispersed across dozens of disconnected systems. The challenge is not a lack of data — it is the inability to unify, govern and act on it at pace across every channel.
Online and physical store systems operate in isolation, preventing a unified view of customer behaviour, inventory and sales performance across channels.
Without a consolidated inventory view, stock allocation decisions are reactive. Fulfilment teams lack the visibility to balance availability across stores, warehouses and online.
Pricing strategies and promotional campaigns rely on lagging data, limiting the ability to respond to competitive shifts and demand signals in real time.
CRM, loyalty, POS and marketing platforms hold fragmented views of the customer. Without unification, personalisation efforts remain shallow and inconsistent.
Data teams spend disproportionate time extracting, reconciling and formatting reports instead of delivering actionable insight to the business.
Without integrated demand signals, forecasting models underperform. Seasonal shifts, trend changes and external factors are not captured in time to inform decisions.
Data fragmentation is not merely a technical inconvenience. It compounds across commercial, operational and customer functions, eroding the ability of retail leaders to act decisively and protect margin.
When inventory data is fragmented, high-demand products go out of stock at the point of sale. Each stockout represents a lost transaction and a deterioration in customer trust that compounds over time.
Without accurate demand signals, buying teams over-order to hedge against uncertainty. The result is excess stock that must be cleared through markdowns, directly eroding gross margin and tying up working capital.
Promotional budgets are deployed based on historical patterns rather than real-time customer and market data. Without unified insight, campaigns over-discount loyal customers and under-target high-potential segments.
When CRM, loyalty and POS data are not connected, customers receive disjointed communications and inconsistent experiences across channels. This erodes brand loyalty and increases churn.
Supply chain teams operating without real-time demand and inventory signals are forced into reactive decision-making. This leads to delayed replenishment, inefficient distribution and increased logistics costs.
Without a unified data layer, executive teams lack the real-time dashboards and consolidated reporting needed to monitor trading performance, allocate resources and respond to market shifts with confidence.
Transatlantix designs and implements modern lakehouse architectures on Databricks to give retail organisations a single, governed data foundation that unifies omnichannel data and enables real-time analytics, machine learning and enterprise governance.
Consolidate e-commerce, POS, CRM, loyalty and supply chain data into a single lakehouse architecture with full lineage and governance.
Establish clear data ownership, access controls and audit trails aligned with GDPR and enterprise compliance requirements.
Deliver live operational dashboards for trading performance, inventory health, customer engagement and supply chain status.
Deploy demand forecasting, pricing optimisation and personalisation models on a unified platform with integrated MLOps.
Automate trading, operational and board-level reporting to free data teams for higher-value analytics and strategic work.
Build unified customer profiles from every touchpoint to power personalised recommendations, targeted campaigns and loyalty programmes.
Faster
Decision cycles across trading & ops
Improved
Inventory turnover & availability
Higher
Conversion through personalisation
Stronger
Margin control & promo efficiency
Purpose-built capabilities for retail data transformation, from inventory optimisation through to omnichannel personalisation.
Feature
AI-driven inventory forecasting
How It Works
Integrate sales, seasonality and supplier signals into a unified demand model
Outcome
Reduce stockouts and overstock while lowering carrying costs
Feature
Customer segmentation & personalisation engine
How It Works
Unify touchpoints into Customer 360 profiles and predict preferences with ML
Outcome
Higher loyalty, increased basket size and improved retention
Feature
Real-time analytics & sales forecasting
How It Works
Combine historical sales data with market indicators and external signals
Outcome
Better planning, aligned campaigns and measurable revenue lift
Feature
Trend & consumer behaviour analytics
How It Works
Analyse competitor, demand and consumer data at scale across markets
Outcome
Smarter assortment decisions and confident expansion planning
Feature
Real-time actionable insights
How It Works
Continuously updated operational view across all business functions
Outcome
Faster responses to market shifts and competitive dynamics
Feature
Unified online & offline data platform
How It Works
Consolidate e-commerce, POS and marketing data into a single governed layer
Outcome
Consistent customer experiences and improved cross-channel loyalty
A major UK retailer operating across hundreds of physical stores and a rapidly growing e-commerce platform faced significant challenges with fragmented data systems. Sales, inventory, customer and marketing data were spread across incompatible platforms, making it difficult for commercial and operations teams to coordinate effectively.
Transatlantix designed and implemented a unified lakehouse architecture on Databricks, consolidating data from POS systems, e-commerce platforms, CRM, loyalty programmes and supply chain tools into a single governed environment. The engagement included deploying real-time trading dashboards, demand forecasting models and automated operational reporting.
The results enabled the retailer to move from reactive to data-driven operations, with measurable improvements across key commercial and operational performance indicators.
View Case Study20%
Increase in Sales
Achieved through improved demand forecasting, personalised recommendations and optimised promotional targeting.
30%
Improvement in Inventory Turnover
Through AI-driven demand sensing, optimised replenishment and reduced overstock across all channels.
Reduced Reporting Cycle Times
Trading and operational reports generated in hours rather than days.
Unified Omnichannel View
Consolidated online and in-store data into a single source of truth for all commercial decisions.
Deep experience in data and AI programmes for enterprise retailers, with an understanding of the commercial, operational and supply chain challenges specific to omnichannel retail.
Advanced lakehouse architecture design, governance implementation and performance optimisation, ensuring retail organisations extract maximum value from the Databricks platform.
Every implementation is designed with GDPR-ready compliance, role-based access controls and full auditability as foundational requirements — not afterthoughts.
Focused on measurable commercial impact, not just technology. Every engagement is structured around clear KPIs and quantifiable improvements in efficiency, revenue and customer value.
Book a 30-minute executive consultation to assess your current data landscape and identify the fastest paths to measurable retail impact.