Retail AI team improving omnichannel commerce experiences

Build retail AI that converts, not just impresses

Recommendation systems, personalization, forecasting, and omnichannel platforms built by nearshore product engineers.

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Why Golabs for retail?

Retail AI that ships before Black Friday, not after.

Golabs builds the AI layer that turns your customer and inventory data into revenue, personalization, demand forecasting, dynamic pricing, and conversational commerce, all tailored to your stack.

Talk to our retail team
01

Hyper-personalization at SKU level

We build recommendation engines that analyze session behavior, purchase history, and intent signals, increasing AOV and CLV on every visit.

02

Demand forecasting that eliminates waste

ML models ingesting historical sales, weather, and local events to predict SKU-level demand, reducing inventory waste and maximizing stock availability.

03

Retail-native engineering teams

Our engineers have shipped e-commerce AI at scale. They know SKU velocity, seasonal spikes, and omnichannel data architecture.

04

LATAM nearshore speed

Pre-vetted AI engineers placed in under 72 hours. Your timezone, significantly lower cost, no compromise on quality.

End-to-end retail AI services.

Every layer of modern commerce, from customer experience to supply chain, built for your specific stack and data.

Retail AI and commerce engineering
Retail AI services
01
Personalization

Hyper-personalization engines

Real-time recommendation models analyzing session data, purchase history, and behavioral intent to increase AOV and CLV across every channel.

Collaborative filteringDeep learningReal-time
02
Forecasting

Intelligent demand forecasting

SKU-level demand prediction ingesting historical sales, weather, and local events, reducing waste and maximizing stock availability.

Time seriesAWS ForecastInventory AI
03
Vision

Visual search & discovery

Customers search with images. Our computer vision identifies products from photos or social screenshots, shortening the path to purchase.

OpenCVYOLOEdge AIRekognition
04
AI Chat

Conversational shopping assistants

24/7 LLM-powered AI staff that answer product questions, check inventory, and guide users to checkout with human-like precision.

LLMsRAGOmnichannel
01 / Personalization

Why personalization
is your biggest lever

Every untargeted homepage costs you conversion. Our engines serve individual product recommendations across web, mobile, and email, in real time, at any scale, with measurable uplift from day one.

Explore personalization solutions
Session signals
Purchase history
Intent scoring
Real-time
A/B testing
Cross-channel
05 / Pricing

Real-time dynamic pricing

Algorithms analyzing competitor pricing and market demand in milliseconds to adjust prices dynamically, maximum margin without sacrificing volume.

Demand elasticityCompetitor signalsMargin optimization
06 / Logistics

Supply chain optimization

AI route optimization and warehouse automation logic that reduces shipping costs and improves delivery time estimates from warehouse to doorstep.

Route optimizationWarehouse AILast-mile
How we work

Our retail AI
engagement process.

01
Discovery

Define your retail goals

Conversion targets, inventory bottlenecks, and AI opportunities, mapped to your GMV goals and seasonal calendar from day one.

02
Matching

Match with retail AI experts

Pre-vetted personalization engineers, supply chain AI specialists, and computer vision engineers, placed in under 72 hours.

03
Integration

Embed into your agile squads

Your new engineers integrate with your existing product and data teams, fully context-aware of your stack and commerce platform.

04
Build

Ship AI features fast

Weekly increments with measurable conversion impact, recommendation engines, demand models, pricing algorithms, CV pipelines.

05
Scale

Scale before peak season

Add engineers ahead of Black Friday, Cyber Monday, or any seasonal surge, and scale down after without the overhead of permanent headcount.

Proof of work

Real results from real commerce operations.

Featured · Fashion E-commerce

Visual recommendation engine for 3M+ monthly users

A fashion e-commerce brand saw a meaningful lift in conversion rate and average order value after we deployed a deep learning recommendation engine, trained on their full product catalog and customer behavior data.

Significant increase in conversion rate
Higher average order value
3M+ monthly active users served
Build something similar
Conversion
meaningful uplift
AOV
higher order value
3M+
monthly users
Faster
delivery speed
Grocery Retail

Fresh food demand forecasting, measurable waste reduction

Automated replenishment driven by AI demand models, high stock availability while slashing over-procurement and shrinkage costs across 200+ SKUs.

Waste
significantly reduced
Stock
availability improved
Auto
replenishment

Ready to start

Ready to build your retail AI engine?

Let GoLabs help you build recommendation, personalization, and forecasting systems that improve customer experience and revenue.

Get a free assessment
01Free retail AI assessmentPersonalization, forecasting, and commerce workflow review
02Omnichannel roadmapPrioritized around conversion, inventory, and loyalty
03Meet your retail AI teamNearshore product engineers ready to ship