Retail & CPG
Factored AI builds production ready AI for retailers and CPG brands that increases revenue, optimizes inventory, and operationalizes data at scale.
AI systems that drive revenue from customer, pricing, and supply-chain data
01
Demand Forecasting & Inventory Optimization
Drove 15% sales lift and reduced inventory overstock by 22%.
Built time-series forecasting and clustering models that adapt to regional demand patterns, seasonality, and external signals.
Built time-series forecasting and clustering models that adapt to regional demand patterns, seasonality, and external signals.
02
Personalization, Pricing & Merchandising Intelligence
Increased conversion rates by up to 36% and click-through by 58%.
Deployed real-time reinforcement learning and recommendation systems that adapt dynamically to customer behavior across sessions.
Deployed real-time reinforcement learning and recommendation systems that adapt dynamically to customer behavior across sessions.
03
Operational Intelligence & Store-Level Execution
Recovered $80M in sales through operationalized ML at the store level.
Embedded ML predictions directly into frontline tools, closing the loop between analytics and real-world action.
Embedded ML predictions directly into frontline tools, closing the loop between analytics and real-world action.
Case Studies & Proven Impact
Demand Forecasting for Inventory Optimization
Predict demand accurately to reduce overstock and capture lost sales.
- Inaccurate demand forecasting caused overstocking and frequent out-of-stock events across regions.
- Built AI-powered demand forecasting using time-series clustering and predictive analytics, incorporating historical sales, regional trends, and seasonality.
- 22% reduction in inventory overstock, 15% increase in sales, and significantly improved forecasting accuracy across stores.
Probabilistic Perpetual Inventory (PPI) Alerts Program
Turn inventory predictions into real-time store action.
- An $80B retailer struggled with inaccurate perpetual inventory, leading to lost sales and excess stock.
- Built probabilistic ML models to detect inventory anomalies and operationalized alerts directly to store associates’ mobile devices.
- 5.77M alerts delivered, 78% alert accuracy, $25M recovered from stockout corrections, contributing to $80M+ in recovered sales.
Adaptive, Real-Time Personalization with Reinforcement Learning
Personalize every customer session in real time to increase conversion.
- Static recommendations failed to engage customers and limited product discovery.
- Deployed a session-aware reinforcement learning recommender system balancing exploration and exploitation across web and mobile.
- 58% increase in click-through rate, 36% lift in conversion, 31% more product variety surfaced per session.
Leveraging LLMs for Synthetic Market Data
Replace slow, expensive market research with AI-driven insight simulation.
- Traditional market research was costly, slow, and limited in flexibility.
- Built LLM-powered synthetic consumer personas to simulate market reactions, pricing sensitivity, and feature preferences.
- Accelerated market insight generation, reduced research costs, and enabled rapid experimentation without third-party studies.
Store Operations Dashboards & Automation
Give store teams actionable intelligence, not static reports.
- Store managers lacked timely visibility into inventory, ordering accuracy, and supply metrics.
- Built automated dashboards and workflows showing weekly KPIs and generating corrective actions.
- Reduced manual ordering, prevented out-of-stocks, and improved coordination between supply chain teams and stores.
Three Engagement Models
Embedded Engineers
Elite, dedicated engineers who onboard quickly, are embedded in your team, and are managed by your stakeholders.
Managed Services
End-to-end AI and data solutions designed, managed, and scaled by Factored to drive measurable ROI.
Advisory in AI, ML, and Data
Senior architects guide feasibility, prioritization, and strategy with expert insight to de-risk critical decisions, solve challenges and drive competitive advantage.
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