// Industries / Retail & E-Commerce
Platforms that keep pace with commerce
Marketplace orchestration, pricing intelligence, loyalty personalization and payment flows — built for the speed and complexity of modern retail.
// OUR DIFFERENTIATOR
Commerce engineering at real scale.
Marketplace complexity is a specialty
Marketplace architecture is not e-commerce architecture with more sellers, it is a fundamentally different engineering problem. Sciensa has solved the challenges of multi-seller catalog management, pricing coordination and seller orchestration at $2B+ GMV scale. (McKinsey (2025))
AI personalization that converts
Personalization that works doesn't show users what they bought before, it predicts what they'll need next. 75% of retailers will use AI for personalization by 2025, with leaders reporting 15% conversion increases and 35% retention improvement. (Gartner (2025))
// WHAT WE DELIVER
Engineering for modern commerce.
From marketplace to supply chain, every layer built for scale.
Marketplace Architecture
Multi-sided marketplace platforms with seller onboarding, catalog management, pricing intelligence and settlement at scale.
// CASES
Production results.
$2B Marketplace Platform
Marketplace orchestration managing 3,000+ sellers across catalog, pricing, fulfillment and settlement with 99.97% uptime.
Loyalty & Personalization Engine
AI loyalty platform increased customer retention by 35% and cross-sell revenue by 40% across 5M active members.
Demand Forecasting Platform
ML demand forecast reduced food waste by 30% and improved in-store availability by 15% across 500+ stores.
// Plataformas
Powered by Lumia & Amplify.
Lumia AI brings real-time personalization, demand forecasting, dynamic pricing and seller fraud detection to retail and marketplace platforms.
Amplify provides seller onboarding, catalog management, payment splits, order orchestration and loyalty modules.
// FAQ
Frequently asked questions.
Traditional e-commerce is built around a single seller's inventory. A marketplace must support thousands of independent sellers with their own catalogs, pricing and fulfillment, requiring a multi-tenant data model, per-seller rules engines and complex settlement logic.
AI adapts the entire shopping experience — search ranking, homepage content, promotional offers — to each individual user based on behavioral signals, context and predicted intent, not just purchase history.
Dynamic pricing adjusts prices in real time based on competitive prices, demand elasticity, inventory levels, seasonal patterns and customer segment price sensitivity.
Building a proprietary marketplace makes sense when the retailer has supplier relationships and brand to attract sellers, commission economics at scale justify the infrastructure investment, or customer data is too strategically important to hand to a third party.
AI supply chain optimization applies ML to demand forecasting, inventory positioning and supplier selection, reducing overstock, stockouts and suboptimal routing costs.
Ready to build your retail platform?
Talk to our team about your marketplace, commerce and supply chain challenges.