ShopGrok Tech Stack

Price and range analytics platform for retail decision-makers

Software Development Chippendale, New South Wales 11–50 employees Founded 2018 Privately Held

ShopGrok builds pricing and assortment intelligence for retail and consumer brands. The stack (Python + Django on GCP, Snowflake, Alteryx, Scrapy) is optimized for data ingestion and transformation at scale. The company is adopting Bedrock while replacing Tableau—a signal of movement toward AI-assisted analytics and internal tooling—and faces significant churn and data-quality challenges that dominate their project roadmap alongside a platform migration effort.

Tech Stack 17 technologies

Core StackHubSpot Slack Tableau Snowflake Python Django Linux Nginx Alteryx SQL Django REST Framework GCP GCS Git Gunicorn Scrapy

AdoptingBedrock

ReplacingTableau

What ShopGrok Is Building

◆Challenges

Ensuring data quality and integrity
Automating manual break-fix tasks
Churn reduction
Retention improvement
At-risk customer identification
Improving data delivery efficiency
Migrating to next-generation platform
Iso 27001 certification
Maturing devops practices
Standardising data products

▲Active Projects

Semantic layer development
Nps program development
Customer journey mapping
Renewal and upsell strategy
Etl workflow development
Tableau dashboard design
Etl workflow maintenance
Automating manual break-fix tasks
Migration to next-generation platform (bedrock)
Iso 27001 certification

Hiring Activity

Decelerating7 roles · 1 in 30d

Department

Data

Engineering

Support

Seniority

Mid

Manager

Senior

Company intelligence

Find more companies like ShopGrok by tech stack, pain points and active projects

Get started free

About ShopGrok

ShopGrok serves retail and consumer brand decision-makers with analytics for pricing strategy, range optimization, and promotional planning. Founded in 2018 and based in Chippendale, the company operates as a small, data-centric organization (11–50 employees) with a technical stack built on Python, Django, Snowflake, and GCP. The product surfaces competitive intelligence and market insights via Tableau dashboards, though the company is actively migrating to next-generation tooling. Current focus spans ETL modernization, semantic layer development, customer retention initiatives, and ISO 27001 compliance.

HeadquartersChippendale, New South Wales

Company Size11–50 employees

Founded2018

Hiring MarketsAustralia

Frequently Asked Questions

What tech stack does ShopGrok use?

Python, Django, Snowflake, GCP, Tableau, Alteryx, Scrapy, SQL, and Linux. The company is adopting Bedrock and replacing Tableau.

What is ShopGrok working on?

Core projects include ETL workflow development and maintenance, semantic layer development, Bedrock platform migration, NPS program development, and automating manual break-fix tasks.