Artificial Intelligence
Automated Customer Recommendations
A marketing firm specializing in retail customer engagement improves their data management processes with automation and machine learning enhancements.
At a glance
The starting point
Manual promotion building
Siloed campaign steps made personalization difficult to sustain.
The work
Connect data & recommendations
Built an automated offer engine with expert review and tuning.
The result
More relevant offers
Recommendations reached customers in near real time.
Details
The challenge
Manual campaigns were slow and offers often irrelevant.
The goal
Deliver timely, personalized offers with less manual work.
What CiTechT did
Built a machine learning recommendation engine with expert controls.
Process
1 / 9 · Assess
Assessed existing promotion and marketing processes to understand the manual work behind customer offers.
Results
- Near real time
- Offer recommendations delivered
- Automation + ML
- Machine learning offer engine
- End to end
- Manual steps replaced by one workflow
- Unified promotion and data tasks, reducing manual work and campaign overhead
- Delivered more relevant customer offers in near real time
- Supported complex customer needs without accumulating technical debt
- Helped teams adapt offers faster as customer behavior changed
- Made campaign and offer generation more consistent and repeatable
- Enabled models to keep improving as new data arrived
Tools and technologies
- Machine Learning
- Data APIs
- Analytical Engine
- Automation Platform
- Real time Data Processing
- Personalization Engine
- Management Console
- Campaign Management
Planning recommendation features?
Tell us about your customer data and recommendation workflow. This case will be included in your inquiry.