Ecommerce & Quick Commerce
Helping Ecommerce and Quick Commerce brands scale profitably with unified data, AI-driven insights, and predictive decision systems.
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: Identify profitable customer cohorts and predict churn before it happens. - Model contribution margins in real time across SKUs, channels, and campaigns. - Optimise acquisition and retention spend with AI-based ROI and elasticity modelling. - Enable teams to act on insights with automated dashboards and embedded intelligence. 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 help organisations turn data and AI into measurable business outcomes. Our work spans strategy, data foundations, analytics, and AI/ML solutions - all designed to improve growth, efficiency, and resilience.
We anchor every engagement in business outcomes, not technology hype. Our approach blends strategy, engineering, and adoption so that solutions scale, endure, and deliver real impact on the P&L.
We work across retail, manufacturing, e-commerce, consumer packaged goods, and logistics. Our solutions are adaptable, enabling transformation in diverse industries and functions.
Fornax HQ is headquartered in Mumbai, India with delivery capabilities across regions. We support clients worldwide, helping them adapt to shifting markets and accelerate transformation.
Collaborative and outcome-focused. We embed closely with client teams, prioritise clarity, and measure success by decisions improved, not just deliverables handed over.
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