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E-commerce

Automation for e-commerce teams handling customer volume, repeat communication, and operational follow-up across channels.

E-commerce teams often operate across storefronts, support channels, reminders, logistics updates, and campaign flows. The aim is to reduce repetitive communication while preserving responsiveness and control.

Typical friction points
Support requests and order-status questions arriving through multiple channels without a unified response flow.
Manual reminders, retention communication, and follow-up logic consuming team time.
Operations teams lacking a shared view of customer issues, communication history, and escalation state.
Suggested system layers
Multi-channel customer communication across email, WhatsApp, and Telegram
Order updates, reminders, and post-purchase messaging
Support triage and structured escalation workflows
Operational reporting for communication load and response performance
Relevant proof direction: Relevant case-study direction: customer communication bot systems that dramatically reduced manual handling across messaging channels.
Relevant completed work

Matching case studies from the wider portfolio.

Each card below is selected for this route so buyers can see real completed work that reflects similar operating pressure, system complexity, and commercial outcomes.

Multi-channel e-commerce operator

Communication bot suite across Telegram and WhatsApp

Result achieved: Manual service workload fell by 90 percent and lead detection lifted revenue by 30 percent.

UNIDEX built an automation layer for customer communication, reminders, payment notifications, order handling, and lead detection so revenue recovery no longer depended on manual follow-up.

Stack
Python, Telegram Bot API, Telethon, WhatsApp API, Kubernetes, ArgoCD, CI/CD
Specialist
UNIDEX delivery team
ASCO

Home appliance online store

Result achieved: Catalog, cart, stock, and order processing were brought into one structured commerce workflow.

The broader portfolio includes a full Django storefront with custom admin tooling, technical-parameter filtering, and product, order, and stock management for a more maintainable e-commerce back office.

Stack
Django, Django Templates, PostgreSQL
Specialist
Нурсултан Тажибаев
POSM online store

Stripe commerce flow with warehouse integration

Result achieved: Conversion increased by 25 percent after payments, stock handling, and order flow were tightened.

The attached project materials describe an online store connected to Stripe and a warehouse API so purchase flow, stock coordination, and operational follow-up could run with less friction.

Stack
Django, DRF, React, Stripe, Docker, Redis
Specialist
Ырыскелди Кокумбаев