Turn Every Shopper Into a Repeat Customer with AI
Mars Innovation Technology builds AI recommendation engines, intelligent search, dynamic pricing, and AI-powered customer service for e-commerce — delivering measurable lift in conversion, AOV, and retention.
AI recommendation engine increases average order value by 15–35% on most e-commerce platforms.
Intelligent search powered by semantic understanding, not just keyword matching.
AI customer service agent deflects 40–60% of tier-1 support tickets automatically.
Fixed price, fixed scope. Production-ready in 6–10 weeks on your existing stack.
Generic Product Pages and Slow Support Are Killing Your Conversion Rate
The average e-commerce site converts less than 3% of visitors. Shoppers who can't find what they're looking for immediately leave — and they rarely come back. Rule-based recommendation widgets show the same tired "bestsellers" to every visitor, ignoring intent signals that could double the relevance of every product shown.
Customer service is the other revenue leak. Support tickets about order status, returns and product questions cost $5–$20 each to handle manually and create the review scores that determine whether new customers ever arrive in the first place.
Recommendation widgets are rule-based: "customers also bought" ignores real intent.
Site search returns irrelevant results for natural-language queries — shoppers leave.
Support team is overwhelmed with order status, return and FAQ queries.
No personalisation — every shopper sees the same homepage and email content.
Abandoned cart recovery is a single generic email, not a personalised journey.
Everything Included in This Launchpad
A production-ready, fixed-price engagement — from architecture to deployment to support.
AI Recommendation Engine
Real-time personalised product recommendations on PDP, cart, email and homepage — trained on your catalogue and purchase history.
Semantic Search
LLM-powered search that understands natural language, synonyms, and intent — so "comfy running shoes under $100" returns the right results.
AI Customer Service Agent
RAG agent trained on your order system, return policy, and FAQs — resolves tier-1 tickets automatically and escalates complex cases with context.
Dynamic Pricing Intelligence
ML-based pricing signals that factor in inventory, demand, competitor prices and margin targets — updated in real time.
Abandoned Cart Recovery AI
Personalised re-engagement sequences triggered by browse and cart signals — not generic blasts.
Commerce Analytics
AI-driven insights dashboard surfacing revenue opportunities, inventory risks and customer lifetime value cohorts.
Business Outcomes You Can Expect
15–35%
AOV Uplift
From AI recommendations on PDP and cart pages.
40–60%
Support Ticket Deflection
AI agent handles tier-1 queries automatically.
2–4×
Search Conversion
Semantic search vs. keyword matching.
6–10 wks
Time to Production
On Shopify, BigCommerce, Magento or custom stacks.
How We Deliver
Transparent weekly milestones so you always know what is happening and what comes next.
Data & Integration
- Catalogue data pipeline
- Order history integration
- Ecommerce platform API setup
- Data quality baseline
Recommendation Engine
- Model training on your catalogue
- PDP and cart widgets
- A/B test framework
- Real-time scoring API
Semantic Search
- LLM search index build
- Search UI integration
- Query analytics
- Zero-results monitoring
AI Customer Service
- RAG over your FAQ and order data
- Support platform integration
- Escalation workflow
- Agent confidence tuning
Analytics & Go-Live
- Commerce analytics dashboard
- A/B result reporting
- Runbook and training
- Production cutover
Choose Your Starting Point
Every tier is fixed-scope and fixed-price. Start small and scale when ready.
From $3,000
1 week
Audit your current stack, catalogue data quality, search and support metrics. Prioritise 2–3 AI use cases by ROI.
- Catalogue data audit
- Search quality review
- Support ticket analysis
- ROI-ranked roadmap
From $10,000
3 weeks
Deploy AI recommendations or semantic search on one surface and measure lift with A/B testing.
- One AI feature deployed
- A/B test setup
- Analytics integration
- Performance baseline
From $28,000
6–8 weeks
Full production deployment of recommendations, search, and AI customer service with analytics.
- Recommendation engine
- Semantic search
- AI support agent
- Commerce analytics
- A/B framework
- Team training
From $48,000
10–14 weeks
Multi-channel personalisation, dynamic pricing, AI email journeys, and multi-language support.
- Dynamic pricing
- Email personalisation
- Multi-language AI
- Advanced cohort analytics
From $5,000/mo
Ongoing
Managed AI operations — model retraining, catalogue updates, support agent tuning and monthly performance reports.
- Monthly model retraining
- Catalogue sync
- Agent tuning
- Performance report
How We're Different
Compared to generic consultancies and do-it-yourself approaches.
| Feature | Mars Innovation Technology | Generic Consultancy | DIY / In-House |
|---|---|---|---|
Personalised AI recommendations | ✓ | Rule-based only | Complex to build |
Semantic / LLM search | ✓ | ✗ | ✗ |
AI customer service agent | ✓ | ✗ | ✗ |
Fixed price & timeline | ✓ | ✗ | ✗ |
Works with your existing stack | ✓ | Platform-specific | ✓ |
A/B testing included | ✓ | Extra cost | ✗ |
Ongoing managed option | ✓ | ✓ | ✗ |
Frequently Asked Questions
What is the Commerce AI Launchpad?
It is a fixed-price engagement that deploys AI product recommendations, semantic search, and an AI customer service agent on your e-commerce platform in 6–10 weeks, with measurable lift in conversion and support deflection.
Which e-commerce platforms do you support?
Shopify, BigCommerce, Magento 2/Adobe Commerce, WooCommerce, and custom storefronts are all supported. We integrate via your platform's API and storefront SDK.
How does the AI recommendation engine work?
We train a collaborative filtering and content-based model on your catalogue, purchase history and browse signals. Recommendations are served in real time via an API and rendered in your existing product widgets.
What makes your search better than built-in platform search?
Platform search is keyword-based. Our implementation uses a large language model to understand the meaning and intent behind queries — so "lightweight jacket for hiking" finds the right products even if they are tagged differently in your catalogue.
How does the AI customer service agent work?
We build a RAG agent trained on your order management system, return policy, product FAQs and support macros. It handles tier-1 queries (order status, returns, sizing, shipping) automatically and hands off complex cases to your agents with full context.
Do you need a lot of historical data to start?
For recommendations, a minimum of 3 months of order history and 500+ SKUs produces meaningful results. For search, we can start with as few as 50 products. The AI customer service agent can launch with just your FAQ documents and return policy.
How is ROI measured?
We set up A/B tests for each AI feature before launch. You see the revenue lift, conversion rate change, and support deflection rate from the first week of production.
Can this connect to our existing CRM and email platform?
Yes. We integrate with Klaviyo, Mailchimp, HubSpot and most major email platforms to power AI-personalised email journeys using real-time purchase and browse signals.