Technologies
AWW

Gradient Boosting and neural networks — ensemble models capture nonlinear relationships between price, rating and sales volume

Competitor analysis — monitoring hundreds of listings in the same category every few seconds

Seasonal adjustments — the model automatically accounts for Nauryz, March 8, Black Friday and other peak periods

Margin protection — the minimum price is set by the seller; the model never goes below it

Intent classification — the neural network recognizes buyer intent: order status, returns, product inquiries, complaints

Response generation — LLM produces lively, human-like text rather than dry scripted templates

FAQ autopilot — routine questions are closed without a manager; complex cases are escalated to a human

Bilingual support — Kazakh and Russian are processed natively without loss of meaning

LSTM and Prophet — long short-term memory networks and Bayesian models for accurate forecasts per SKU

Trend detection — the model spots category growth 2–3 weeks before the peak, while competitors react after the fact

Inventory management — automatic reorder point notifications for each SKU

Anomalies and outliers — the system alerts on sudden demand changes and explains possible causes

Fine-tuned LLM — the language model is further trained on successful Kaspi listings and knows what works in this environment

SEO for Kaspi — keywords are selected based on real marketplace search statistics

Mass generation — 500 listings per run, each unique and non-duplicative

Bilingual content — generates parallel versions in Russian and Kazakh on demand