Recommendation Engine Development

AI Recommendation Engine Development

Personalize Content, Products, and Experiences With AI

Integrate AI recommendation engines to streamline discovery, increase conversions, and enhance user experience across digital products.

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US Time Zone Aligned communication
Fixed Price Transparent proposals
Agile Delivery Weekly progress updates

Recommendation engines help users find relevant products, articles, and features faster. Done well, they lift conversion rates, session depth, and retention.

Kodu Media designs recommendation systems based on your data reality, whether that is collaborative filtering, content-based models, or hybrid approaches with modern ML tooling.

We integrate recommendations into WooCommerce, custom SaaS dashboards, and content sites with APIs that your frontend team can consume easily.

Trusted by Growing Businesses

We partner with startups, scale-ups, and enterprises across the United States and worldwide.

Industries Served

Healthcare Finance Legal Retail Logistics Manufacturing SaaS Education Real Estate

Countries Served

United States flag United States Canada flag Canada United Kingdom flag United Kingdom Australia flag Australia UAE flag UAE

Why Choose Kodu Media

Senior Developers

Work directly with experienced engineers who understand architecture, scalability, and production-grade delivery.

US Time Zone Support

Collaborate with a team aligned to US business hours for faster feedback loops and smoother project communication.

Agile Development

Iterative sprints, transparent milestones, and regular demos keep your project on track from discovery to launch.

Fixed Price Projects

Clear scope, defined deliverables, and predictable pricing so you can plan your investment with confidence.

NDA Protection

Your ideas, data, and intellectual property are protected with formal confidentiality agreements.

Dedicated Project Manager

A single point of contact coordinates timelines, resources, and communication across your entire project.

Transparent Communication

Weekly updates, shared roadmaps, and open channels ensure you always know where your project stands.

Recommendation Engines Services Included

Recommendation Strategy
Data Pipeline Design
Collaborative Filtering Models
Content-Based Matching
Real-Time API Delivery
A/B Testing Framework
Cold-Start Handling
WooCommerce Recommendations
SaaS Feature Suggestions
Model Monitoring

Our Development Process

01

Discovery

We analyze your goals, users, technical requirements, and success metrics to define a clear project roadmap.

02

Planning

Architecture, timelines, milestones, and resource allocation are documented before development begins.

03

UI/UX

Wireframes and interactive prototypes ensure the experience is intuitive before a single line of code is written.

04

Development

Agile sprints deliver working features incrementally with code reviews and quality checks at every stage.

05

Testing

Functional, performance, security, and cross-device testing validate every release before it reaches users.

06

Deployment

We handle staging, production rollout, CI/CD pipelines, and post-launch monitoring for a smooth go-live.

07

Support

Ongoing maintenance, feature enhancements, and dedicated support keep your solution performing at its best.

Technologies We Use

Modern tools for scalable, production-ready delivery.

Python logo Python TensorFlow logo TensorFlow scikit-learn logo scikit-learn Amazon Personalize logo Amazon Personalize OpenAI Embeddings logo OpenAI Embeddings PostgreSQL logo PostgreSQL Redis logo Redis Kafka logo Kafka React logo React WooCommerce logo WooCommerce

Why Businesses Choose Us

Proven Delivery

A track record of successful projects across web, mobile, and AI for US and international clients.

Experienced Team

Senior developers, designers, and project managers with deep expertise in modern technology stacks.

Client-Focused Approach

We prioritize your business outcomes, not just code. Every decision is tied to measurable results.

Fast Delivery

Agile workflows and dedicated teams accelerate time-to-market without compromising quality.

Dedicated Team

Your project gets focused attention from specialists who stay with you from kickoff to launch.

Transparent Pricing

No hidden fees. Clear proposals with itemized scope so you know exactly what you are investing in.

Case Studies

eCommerce Upsell Engine

Problem

A WooCommerce store showed generic related products with low click-through.

Solution

We built a hybrid recommender using purchase history and embeddings.

Results

Average order value increased 14% after personalized modules launched.

Learning Platform Suggestions

Problem

An EdTech SaaS needed course recommendations for new users with little history.

Solution

We combined onboarding quiz signals with similarity search on course metadata.

Results

Course completion rates improved among users who engaged recommendations.

Flexible Engagement Models

Choose the engagement model that fits your project scope.

Starter

From $5,000

Ideal for MVPs, prototypes, and focused feature builds.

  • Discovery & planning
  • Core feature development
  • Basic QA & testing
  • 30-day post-launch support
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Most Popular

Growth

From $15,000

For businesses scaling features, integrations, and user experience.

  • Full UI/UX design
  • Advanced integrations
  • Performance optimization
  • 90-day post-launch support
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Enterprise

From $50,000

Complex, multi-system solutions with enterprise-grade security and compliance.

  • Custom architecture
  • Security & compliance review
  • Dedicated team & PM
  • Ongoing SLA support
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Custom

Let's Talk

Tailored engagements for unique requirements, timelines, and technology needs.

  • Flexible scope
  • Custom team composition
  • Retainer or T&M options
  • Long-term partnership
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Frequently Asked Questions

What does Recommendation Engines include?

Our Recommendation Engines service covers discovery, planning, implementation, testing, deployment, and post-launch support. We tailor the scope to your goals, timeline, and existing systems.

How much does Recommendation Engines cost?

Project costs depend on scope, integrations, and timeline. Starter engagements typically begin around $2,500, while complex builds are scoped individually. Contact us for a free estimate.

How long does a typical project take?

Timelines vary by scope. Focused implementations may take 2-6 weeks, while larger builds can take 2-4 months. We provide a clear timeline during discovery.

Do you work with US-based companies?

Yes. We serve clients across the United States with US time zone-aligned communication, dedicated project management, and transparent reporting.

Can you sign an NDA before we share project details?

Absolutely. We sign NDAs before confidential discussions to protect your intellectual property and business data.

Do you offer fixed-price or hourly billing?

We offer both. Fixed-price works well for defined scopes, while hourly or retainer models suit evolving or long-term needs.

Who will be on my project team?

You get a dedicated project manager plus senior developers and specialists matched to your technology stack and industry.

How do you handle project communication?

We use weekly standups, shared project boards, milestone demos, and direct Slack or email channels for full visibility.

Do you provide post-launch support?

Yes. Every engagement includes a defined support period after launch, plus optional maintenance and enhancement plans.

Can you work with our existing team or codebase?

Yes. We frequently augment in-house teams, integrate with existing systems, and take over legacy projects for modernization.

What industries do you specialize in?

We work across healthcare, finance, retail, SaaS, education, real estate, hospitality, and professional services.

How do you ensure quality?

We follow code reviews, automated testing, staging environments, security best practices, and structured QA before every release.

How much data do I need for recommendations?

Useful models often start with thousands of interactions. We design cold-start strategies for newer products using metadata and rules.

Can recommendations run in real time?

Yes. We deploy low-latency APIs backed by caches and precomputed scores where appropriate.

Do you support WooCommerce and custom apps?

Yes. We integrate with WooCommerce plugins or custom frontends via REST and GraphQL APIs.

Do you help with deployment and DevOps?

Yes. We set up hosting, CI/CD pipelines, monitoring, and scaling strategies on AWS, Google Cloud, and managed WordPress platforms.

What makes Kodu Media different?

Senior-level talent, US time zone support, transparent pricing, and a focus on measurable business outcomes.

How do I get started?

Book a free consultation through our contact page. We will review your requirements and provide a clear proposal with timeline and pricing.

Related Services

OpenAI Integration WooCommerce Development AI Automation Services

Ready to Start Your Project?

Schedule a free consultation with our team. We will review your requirements, recommend the right approach, and provide a clear project estimate.

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