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Helping Ecommerce and Quick Commerce brands scale profitably with unified data, AI-driven insights, and predictive decision systems.
Ecommerce and Quick Commerce brands operate in a world of constant trade-offs: fast acquisition versus loyal retention, discount-led growth versus long-term profitability.
While data is abundant, it’s often scattered - across platforms, marketing tools, warehouses, and CRMs, making it nearly impossible to get a true picture of profitability per customer, product, or campaign.
Fornax bridges this gap by building unified data ecosystems that connect every touchpoint — from marketing to fulfilment. With AI and advanced analytics at the core, we help you:
We turn data chaos into clarity, predictability, and performance - so every marketing dollar, fulfilment cost, and operational decision contributes to sustainable growth.
We connect marketing, commerce, and operations that help brands grow faster and smarter.
From spend to return - with precision. We connect performance marketing data across Meta, Google, CRM, and commerce platforms to reveal true incremental ROI. Our AI-driven attribution and elasticity models identify which channels, audiences, and campaigns actually drive contribution margin - not just clicks. With these insights, growth teams can reallocate budgets in real time, improving return on spend and customer acquisition efficiency.
Know your best customers, and how to keep them. We unify customer behaviour, order patterns, and engagement signals into dynamic cohorts. By layering predictive churn and lifetime value models, we help teams design retention programs that prioritise high-value segments and optimise offers for sustainable LTV. Every decision - from messaging to discounting becomes data-backed and profit-aware.
The right product, in the right place, at the right time. We integrate ecommerce, warehouse, and logistics data to build predictive demand and inventory models. This enables accurate stock allocation, reduced overstocking, and prevention of stockouts, thus balancing working capital efficiency with customer satisfaction. Through AI-driven simulations, brands can plan replenishments, forecast peak demand, and operate with greater agility.
Move from dashboards to decisions that compound. We unify marketing, operations, and finance metrics into a single profitability layer, measuring true contribution across channels, SKUs, and cohorts. With machine learning models that simulate pricing, promotion, and acquisition trade-offs, decision-makers can optimise for growth and margin - not one at the expense of the other.
We start with the key business decisions that matter most in your sector - then design data foundations, models, and AI systems that improve them measurably. Each industry playbook is based on real-world use cases and continuously refined through deployment experience.
We don’t just deliver dashboards or models - we build AI-ready ecosystems that connect data, business, and technology. Our focus is decision adoption, not just data availability.
Yes. Our engineering approach ensures seamless integration with platforms like SAP, NetSuite, Snowflake, and BigQuery, making AI and analytics adoption frictionless across your tech stack.
Most clients begin to see impact within 90 days - from predictive demand forecasting to AI-enabled pricing and retention optimisation. We focus on quick wins that scale sustainably.
Absolutely. With experience across regions and industries, our team has delivered solutions spanning supply chain, marketing, finance, and operations - creating unified, decision-ready intelligence across the enterprise.
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