IKI Tech Stack

Lithuanian retail chain modernizing operations with AI and cloud analytics

Retail Vilnius 5,001–10,000 employees Founded 1992 Public Company

IKI is a 5,000+ person retail operator in Lithuania actively building toward autonomous checkout and LLM-powered analytics. The tech stack reveals infrastructure maturity—GCP, BigQuery, Snowflake, dbt, Airflow—paired with heavy ML imports (TensorFlow, PyTorch, Hugging Face, CrewAI, LangChain). Active projects targeting self-checkout, electronic price tags, and autonomous stores signal a shift from manual store operations toward automation; pain points around cash register efficiency and inventory management confirm the operational friction they're addressing.

Tech Stack 33 technologies

Core StackPython TensorFlow PyTorch Hugging Face LangChain PL/SQL GitLab CI/CD Power BI Apache Airflow BigQuery Snowflake dbt GitLab Terraform Microsoft Office Dynamics NAV CrewAI AutoGen LangGraph LlamaIndex Git Excel SQL Cloud Composer Dataflow GCP Visio Word PowerPoint Outlook+3 more

What IKI Is Building

◆Challenges

Asset management problems
Inefficient processes
Manual process inefficiencies
Inventory management
Cash register efficiency
Managing store operations
Optimizing data processes
Infrastructure gaps for llm applications
Data analysis automation
Knowledge management accessibility

▲Active Projects

Annual construction and reconstruction plan
Self-checkout support
Self-service checkout
Autonomous store
Electronic price tags
Project portfolio roadmap
Process quality improvement initiatives
Partner onboarding initiatives
Llm-based application infrastructure
Analytics solutions for insights automation

Hiring Activity

Steady340 roles · 130 in 30d

Department

Sales

197

Ops

Manufacturing

Logistics

Operations

Construction

Engineering

Data

Seniority

Junior

270

Mid

Manager

Senior

Lead

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About IKI

IKI Lietuva operates one of Lithuania's largest retail networks, founded in 1992 and now a public company. The organization spans 5,001–10,000 employees across stores, logistics, and support functions. Hiring is heavily skewed toward sales and operations roles (278 of 344 open positions), with most recruits at junior level, reflecting high-turnover retail staffing. Active projects in checkout automation, electronic shelf labels, and store operations improvement indicate a multi-year modernization program. The data infrastructure (BigQuery, Snowflake, dbt on GCP) and emerging LLM application stack suggest in-house analytics and AI teams supporting inventory, pricing, and customer insights.

HeadquartersVilnius

Company Size5,001–10,000 employees

Founded1992

Hiring MarketsLithuania

Frequently Asked Questions

What is IKI's tech stack?

IKI uses Microsoft Office, Dynamics NAV (ERP), Python, TensorFlow, PyTorch, Hugging Face, and LangChain for ML. Data layer: BigQuery, Snowflake, dbt, Airflow on GCP. BI: Power BI. Version control: Git, GitLab CI/CD, Terraform.

What projects is IKI working on?

Self-checkout systems, autonomous store pilots, electronic price tags, LLM-based application infrastructure, and data analytics automation for insights. Also active on store reconstruction and process quality improvement.