8 docs tagged with "retail"

CLV prediction with BG/NBD probabilistic models, Gamma-Gamma monetary value, deep learning on purchase sequences, RFM segmentation, and the ML systems that drive acquisition and retention budget decisions.

Hierarchical time series forecasting at retail scale - classical methods, gradient boosting, deep learning with TFT, and the engineering behind forecasting millions of SKUs in real time.

Price elasticity estimation, competitor-aware pricing, markdown optimization for seasonal goods, causal inference for pricing decisions, and the ML systems behind Amazon's real-time repricing engine.

Newsvendor problem, safety stock optimization, reorder point prediction, multi-echelon inventory, and ML-driven policies that balance stockouts against carrying costs at retail scale.

Two-tower retrieval models, real-time feature serving, ANN search, and the full ML architecture that powers personalized recommendations for hundreds of millions of retail users.

POS data streams, customer data platform architecture, real-time feature computation with Flink, medallion data lake architecture for retail, privacy compliance, and event streaming pipelines for retail ML.

Lead time prediction, supplier risk scoring, demand sensing, disruption detection, route optimization, and the ML systems that build resilient and efficient retail supply chains.

Image embedding models for retail visual search, CLIP-based product discovery, FAISS similarity retrieval, multimodal search combining image and text, and the systems behind shop-the-look features.