
Drive world-class CX and become a data driven retailer
Hyper-personalisation, better customer journeys, more profit and revenue, AI innovation.

The challenge
Most retailers are data rich but insight poor. That’s because of fragmented data, outdated apps and models and inadequate integration across your customer-facing stack. That leads to limited ability to personalise customer experiences and take advantage of new tools like AI and data insight. Most retailers have ‘me-too’ platforms making it difficult to stand out to customers who’ve grown up in the era of Amazon. Most retailers struggle with data privacy regulation and pay too much for their infrastructure.
It’s time to fix these problems.
Where we help
CID works with leading retailers to:
- Build robust, advanced and easy-to-use AI models that drive better customer recommendations, segmentation and predictive analytics.
- Develop self-service APIs, integration with existing ERP and e-commerce systems and all customer engagement systems.
- Integrate MLOps and lifecycle management into your customer-facing operations to ensure they’re future-proof and able to continuously innovate your CX
- Optimise your AI deployment and management to control costs and ensure compliance.
6 use cases
- Personalised product recommendations
- Customer segmentation and targeting
- Demand forecasting and stock optimisation
- Smart search and e-commerce personalisation
- Improved, personalised customer service
- Churn prediction and proactive retention
Benefits
- Lift loyalty and conversion rates
- Introduce precision marketing, hyper-personalisation and better segmentation
- Reduce risks by adopting our ‘Compliant by Design’ approach (GDPR, BDSG, EU AI Act…)
Our approach lowers system and software TCO and drives ROI up via across-the-board automation and private AI. Our customers become data- and AI-driven CX teams.
Why CID?
We have a long track record in supporting ambitious, complex retailers since 1999. And we’ve been introducing AI-powered recommendations to your customers since 2007. Our Gen AI and agentic AI team has been fully in operations with retail customers for the last few years.

