A Comprehensive Guide to Modern Retail Technology and Data Science
Explore the four stages of AI maturity in retail, from initial efficiency gains to creating new, innovative revenue streams.
Read ArticleLearn how AI-driven allocation sends the right products to the right stores, maximizing sell-through and protecting margins.
Read ArticleShift from retrospective reporting to real-time anomaly detection and predictive financial forecasting with machine learning.
Read ArticleTransform customer data into strategic advantage with sophisticated loyalty management and behavioral segmentation.
Read ArticleMove from reactive firefighting to proactive management with AI-driven traffic forecasting, labor scheduling, and task optimization.
Read ArticleTransform buying from an art based on intuition to a science grounded in analytics and machine learning for optimal product mixes.
Read ArticleDeconstruct retail demand into its core components—trend, seasonality, promotions, and external factors—for superior accuracy.
Read ArticleMove up the analytics maturity curve, from basic reporting to AI-powered optimization, to turn data into decisions.
Read ArticleExplore the end-to-end ML pipeline, from data collection and feature engineering to model deployment and monitoring.
Read ArticleMaster the critical balance of inventory with demand-driven replenishment strategies that optimize stock levels and cash flow.
Read ArticleUnderstand and optimize the path to purchase by forecasting store traffic and analyzing conversion drivers.
Read ArticleBridge the gap between strategy and execution with an intelligent orchestration layer that connects systems and automates decisions.
Read ArticleMaster fashion's most volatile challenge with AI that predicts demand, optimizes orders, and manages products from launch to clearance.
Read ArticleApply the Pareto Principle to your product portfolio to focus resources on high-performers and optimize inventory investment.
Read ArticleUse Recency, Frequency, and Monetary analysis to segment your customer base and drive targeted, high-ROI marketing campaigns.
Read ArticleMaster the strategic levers of pricing by understanding demand elasticity, margin impact, and optimal timing for adjustments.
Read ArticleMove beyond standard size curves to match inventory with true demand patterns, reducing markdowns and lost sales.
Read ArticleUse predictive analytics to determine the optimal timing, depth, and cadence of price reductions to maximize total margin.
Read ArticleSystematically understand and improve margin drivers, from product mix and pricing to COGS and channel strategy.
Read ArticleAccelerate cash flow and improve capital efficiency by optimizing how quickly you sell and replace inventory.
Read ArticleUnlock the full potential of your online business data by integrating it into a unified analytics environment for advanced AI.
Read ArticleCompare the economics, capabilities, and strategic implications of investing in AI platforms versus traditional SaaS solutions.
Read ArticlePredictive analytics and AI reduce shrink by detecting theft patterns, fraud, and losses before they occur.
Read ArticleExplore on-premise, cloud, and hybrid deployment models to find the right fit for your security and infrastructure needs.
Read ArticleLazar Belos, BA(Hons), BSc, CPA, MCP, MCSE
Retail AI & Analytics Expert | Helping retailers leverage AI for competitive advantage
Highly accomplished executive with dual expertise in financial strategy (CPA, Deloitte, PricewaterhouseCoopers) and advanced IT systems (MCSE, IBM). Proven success leading business transformations, optimizing financial operations, and aligning technology initiatives with business growth. A strategic and results-driven leader skilled in driving profitability and guiding high-performing, cross-functional teams.