Data-Driven Intelligence for Predictive Retail -
Sense Demand Before the Buy
Mastering the Velocity of
Modern Retail
As market leaders move from AI experimentation to scale, the divide is defined by data maturity. A specialist foundation is now the prerequisite for capturing double-digit revenue growth
Retail & CPG companies already piloting or using AI (NVIDIA)
Revenue increase for retailers implementing AI personalisation (McKinsey)
Surge in retail site traffic via AI assistants between 2024 and 2025 (Adobe)
Reduction in customer acquisition cost via AI-driven ad targeting (Deloitte)
Retail Data is Everywhere - Intelligence is Not
Retailers generate more data than almost any other sector – point-of-sale, web behaviour, supply chain events, social signals, loyalty interactions. But most sits in disconnected systems that don’t surface insight until it’s too late to act
Demand blind spots & overstock
Rule-based forecasting can’t separate campaign spikes from organic trend, leading to costly overstock cycles and markdown losses that erode margin
Supply chain bottlenecks with no real-time visibility
Order-to-delivery gaps caused by fragmented supplier data, late event detection, and logistics systems that don’t talk to merchandising platforms
Customer data trapped
in silos
Loyalty, web behaviour, and transaction data sitting in separate platforms – making unified 360° customer profiles and real-time personalisation impossible
Disconnected ERP &
CRM data layers
ERP, CRM, OMS, and eCommerce platforms generating separate data streams – making unified inventory, customer, and revenue insight a months-long integration project
Demand-Sensing Commerce, End to End
Every solution is drawn from Ignitho’s Agentic Commerce framework – connecting your existing ERP, CRM, and logistics data into a single intelligence layer that lets your supply chain act on tomorrow’s demand, today
FLAGSHIP SOLUTION
Demand Forecasting & Inventory Intelligence
Predictive models differentiating campaign-driven spikes from organic baseline demand – enabling teams to right-size inventory weeks ahead. Models self-update daily as sales data flows in. 20% overstock reduction achieved
Supply Chain Optimisation & Real-Time Visibility
Identify and resolve bottlenecks across supplier, logistics, and fulfilment networks with real-time event detection and optimisation
Customer Analytics & 360° Personalisation
Unify loyalty, behavioural, and transaction data into governed customer profiles - enabling real-time personalisation and next-best-action
Dynamic Pricing & Promotion Optimisation
Replace manual pricing rules with models driven by live market signals, competitor data, and elasticity insights - eliminating blind promotion decisions
FLAGSHIP SOLUTION
Demand Forecasting & Inventory Intelligence
Predictive models differentiating campaign-driven spikes from organic baseline demand – enabling teams to right-size inventory weeks ahead. Models self-update daily as sales data flows in. 20% overstock reduction achieved
Supply Chain Optimisation & Real-Time Visibility
Identify and resolve bottlenecks across supplier, logistics, and fulfilment networks with real-time event detection and optimisation
Customer Analytics & 360° Personalisation
Unify loyalty, behavioural, and transaction data into governed customer profiles - enabling real-time personalisation and next-best-action
Dynamic Pricing & Promotion Optimisation
Replace manual pricing rules with models driven by live market signals, competitor data, and elasticity insights - eliminating blind promotion decisions
Non-disruptive by Design -
Built for Retail Velocity
In retail, speed matters. Slow data projects kill season-critical decisions. Our 7-to-30-day sprint model gets working intelligence into merchandising, buying, and marketing hands within weeks – not after a lengthy transformation programme
7-Day Retail Data Triage & Landscape Audit
Map your current data estate: ERP, OMS, loyalty platform, eCommerce analytics, and marketing stack. Identify where demand signals are lost, where inventory decisions are made blind, and which customer data is stranded in silos
Unified Data Foundation & Integration Layer
Build the governed integration layer connecting your ERP, OMS, CRM, and eCommerce platforms without replacing any of them. Establish data contracts, inventory data models, and demand signal pipelines
Iterative Delivery - 7 to 30-Day Sprints
Specialist POD teams build and deploy in short visible cycles. Each sprint closes with a working deliverable – a forecast model, segmentation dashboard, promotion tool, or attribution model
Embed, Enable &
Scale
Operationalise every model and dashboard into your workflow. Train buying, merchandising, and marketing teams to scale into a full retail intelligence platform
Why Ignitho
Ignitho has delivered for Sainsbury’s, Rue Gilt Group, and other retail leaders – not by replacing their existing platforms, but by building the intelligence layer on top of what they already run
ERP-native integration
Built on top of your existing ERP, CRM, OMS, and eCommerce platforms. Zero rip-and-replace. Immediate ROI without the disruption of a platform migration
Day-1 productive senior practitioners
Senior data engineers and data scientists who know Snowflake, Databricks, and AWS. No onboarding theatre. They integrate into your sprint cadence and deliver from week one
Retail-specific demand science
We understand campaign attribution, seasonal demand curves, and overstock cycles. Forecasting models built for retail rhythms - not generic time-series
Frugal innovation for retail
Maximum intelligence from your existing data investments. Cloud cost optimisation, pipeline efficiency, and licensing rationalisation built into every engagement
ERP-native integration
We build on top of your existing ERP, CRM, OMS, and eCommerce platforms. Zero rip-and-replace. Immediate ROI without the disruption of a platform migration
Retail-specific demand science
We understand campaign attribution, seasonal demand curves, and overstock cycles. Our forecasting models are built for retail rhythms, not generic time-series
Day-1 Productive senior practitioners
Senior data engineers and data scientists who know Snowflake, Databricks, and AWS. No onboarding theatre. They integrate into your sprint cadence and deliver from week one
Frugal Innovation for retail
Maximum intelligence from your existing data investments. Cloud cost optimisation, pipeline efficiency, and licensing rationalisation built into every engagement