E-commerce & Retail Solutions
Data Engineering & AI Systems for E-commerce & Retail
From fragmented customer data to real-time demand forecasting. We build the cloud infrastructure required to lower CAC, boost LTV, and eliminate stock-outs using advanced AI and modern data stacks.
25%+
LTV Increase
18%
CAC Reduction
99.9%
Data Pipeline Uptime
10 Days
To Project Kickoff
Solving Core E-commerce Bottlenecks
Fragmented Customer Identity
Unified Customer 360 (CDP)
Consolidating data from all touchpoints into a single customer profile for personalized experiences.
Inventory Inefficiency
AI Demand Forecasting
Predictive models that optimize stock levels, reduce overstock, and eliminate costly stock-outs.
Attribution Blindness
Multi-Touch Attribution Modeling
Advanced attribution models that reveal the true ROI of every marketing channel and touchpoint.
Engineering & AI Capabilities
Personalization Engines
Real-time recommendation systems that deliver hyper-personalized product suggestions, increasing conversion rates and AOV.
Let's talkDynamic Price Optimization
ML-driven pricing algorithms that maximize margins while remaining competitive across channels and market conditions.
Let's talkCustomer Churn Prediction
Predictive models that identify at-risk customers before they churn, enabling proactive retention campaigns.
Let's talkCustom Analytics & BI Solutions
We design and build custom analytics infrastructure that turns raw transaction logs into executive-level insights.
LTV/CAC Ratio
3.8x
Tracking customer lifetime value against acquisition costs in real-time.
Inventory Health
94%
optimal
Predictive stock levels across all SKUs and warehouses.
Real-time Conversion
4.2%
Live funnel visualization from visit to purchase.
Channel ROAS
5.2x
Multi-channel attribution across paid, organic, and social.
Provisioned via: Snowflake • dbt • Python • Segment
How We Integrate
Audit & Strategy (Week 1)
Comprehensive evaluation of your data sources, tech stack, and business objectives to define a clear roadmap.
Infrastructure Setup (Weeks 2-4)
Deploying data pipelines, warehouse configuration, and integration with Shopify, Magento, or custom platforms.
AI Deployment (Weeks 5-8)
Rolling out predictive models for demand forecasting, personalization, and customer churn prediction.
Who it is for
For e-commerce, retail and direct-to-consumer brands whose customer, order and inventory data sit in separate systems.
A good fit
- Orders live in Shopify Plus, Magento or a custom platform, while stock and marketing data live elsewhere.
- The same customer shows up as several records across channels.
- Overstock and stock-outs keep recurring because there is no reliable demand forecast.
- Marketing cannot see which channels actually pay back.
Not a fit if
- You need engineers inside your own team. Staff Augmentation covers that.
- Your first job is moving a legacy database to the cloud. Data Platform Migration covers that.
- You need a new storefront or a marketing agency, not a data layer.
Expected ROI Within the First Quarter
Improvement in ROAS
Optimized ad spend through precise attribution modeling.
Reduction in Manual Reporting
Automated pipelines and self-service dashboards.
Data Latency
Real-time streaming architecture for instant insights.
Proof
Results from retail and eCommerce work
See all case studiesFrequently Asked Questions
Get in touch
Start with one problem worth solving
Tell us the outcome you need and the systems involved. We reply within one business day and tell you whether there is a useful first step, or why there is not. No pitch either way.
Email us directly
sales@3alica.com