4–6 disconnected tools
Used for inventory, sales tracking, and customer data with no unified system
We built an AI-powered eCommerce platform for convenience retailers, QSRs, and specialty stores to enhance digital presence and streamline operations. It offers personalized web and mobile ordering, smart delivery management, real-time inventory tracking, AI-driven recommendations, an AI voice agent, and actionable customer insights, boosting sales, engagement, and efficiency without heavy in-house resources.
Outcome: A full digital storefront without an in-house team. Ordering, delivery, and inventory on one system.
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The platform transformed how retailers operate digitally, reducing manual effort, improving decision-making, and increasing revenue across stores.
LulaCommerce is a unified commerce platform built for convenience stores, QSRs, and specialty retailers to manage digital ordering, inventory, and customer experience in one system. It helps businesses scale online operations without building heavy internal tech teams, while improving sales, engagement, and operational efficiency.


Retailers weren’t just selling products. They were managing inventory across multiple stores, tracking sales channels, and trying to understand customer behavior without proper systems.
Every decision was manual, slow, and error- prone, leading to missed revenue opportunities and operational inefficiencies.
Supports convenience stores, QSRs, and specialty retailers at scale
Predicts demand, analyzes customers, and optimizes product recommendations
Syncs stock levels across all channels and locations automatically
Personalized ordering, AI voice assistant, and smart engagement tools
From single store setup to enterprise-level retail networks
Centralizes ordering, reporting, and financial data from first-party (Lula Direct) and third-party platforms
Every store operated with disconnected tools for inventory, sales, and customer data. Teams had no real-time visibility and relied heavily on manual updates and assumptions.
During peak sales periods, inventory mismatches and delayed insights led to stock issues, lost orders, and poor customer experience.
Used for inventory, sales tracking, and customer data with no unified system
Stock updates, reporting, and insights handled without automation
Businesses couldn’t predict demand or understand buying behavior
We built a scalable eCommerce + operations platform that centralizes inventory management, sales tracking, AI-driven recommendations, customer intelligence, and automated retail workflows into a single system, delivering a seamless shopping experience across web, mobile, and in-store kiosks.
Unified inventory, orders, and sales across all stores and channels in real time.
Customer behavior analysis, demand forecasting, and purchase pattern intelligence.
AI-powered recommendations and promotions to increase order value.
Voice-based customer support for orders, tracking, and product assistance.
End-to-end order flow optimization from checkout to delivery.
Every layer was built for scalability, real-time processing, and AI-driven decision-making in retail environments.
Web Frontend Layer
The web-facing layer. Delivers fast, modern storef ront experiences for convenience stores, QSRs, and specialty retailers.
Mobile & Kiosk Layer
The mobile and in-store layer. Powers native-like mobile apps and virtual kiosk experiences.
Backend Layer
Core backend powering inventory, orders, customer data, analytics, and business logic. Manages APIs for multi-store operations, and real-time updates.
Voice Intelligence Layer
Drives AI-powered recommendations, demand forecasting, customer behavior insights, and the AI voice agent.
Cloud Layer
The backbone of the system. Uses EC2, ECS, Lambda, S3, CloudFront, Cognito, IAM, and CloudWatch to ensure scalable deployments.
Data Intelligence Layer
Connects Stripe, Finix, Segment, Mixpanel, Intercom, Posthog, Persona, Numeral, and Explo to enable payments.
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