Crisp Tech Stack

Real-time retail data platform connecting CPG brands, retailers, and distributors

Software Development Bentonville, AR 201–500 employees Founded 2016 Privately Held

Crisp operates a data-sharing network built on SQL, Python, BigQuery, and dbt—a mature analytics stack typical of data-heavy B2B platforms. The company is actively scaling demand forecasting and supply-chain modeling while integrating AI agents into analytics workflows, suggesting a shift from descriptive analytics toward predictive and agentic capabilities. Leadership hiring (Enterprise Sales Director) paired with selective engineering growth signals focus on land-and-expand motion across their 6,000+ connected brands and retailers.

Tech Stack 11 technologies

Core StackPython Power BI BigQuery dbt GitHub Jira Azure DevOps SQL Tabular Editor GCP Azure

What Crisp Is Building

◆Challenges

Customer expansion
Global supply chain complexity
Demand forecasting improvement
Internal data infrastructure development
Data quality and governance
Scalable data pipeline development
Complex sales cycles

▲Active Projects

Modeling retailer data to improve demand forecasting
Ai solution to identify cucumber-containing dishes
Internal data infrastructure
Scalable data pipelines
Analytics-ready datasets
Ai-powered agent integration into analytics workflows
Real-time business signal automation

Hiring Activity

Accelerating5 roles · 2 in 30d

Department

Data

Sales

Engineering

Seniority

Senior

Director

Mid

Notable leadership hires: Enterprise Sales Director

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About Crisp

Crisp is a retail data platform that unifies information flows across CPG supply chains. The company connects over 6,000 brands, retailers, and distributors on a single data-sharing infrastructure, enabling real-time visibility into inventory, sales, and demand patterns. Crisp serves mid-market to enterprise food and beverage companies, with operations across the United States and Poland. The platform's core value is reducing waste, improving forecast accuracy, and accelerating collaboration—addressing the fragmentation that typifies CPG distribution networks.

HeadquartersBentonville, AR

Company Size201–500 employees

Founded2016

Hiring MarketsUnited States, Poland

Frequently Asked Questions

What tech stack does Crisp use?

Crisp's core stack includes SQL, Python, BigQuery, dbt, Power BI, and GitHub for orchestration and analytics. Hosting runs on GCP and Azure, with Jira and Azure DevOps for project management.

What is Crisp working on?

Active projects include AI-powered demand forecasting, retailer data modeling, scalable data pipelines, real-time business signal automation, and AI-agent integration into analytics workflows. Internal data infrastructure development is a priority.