Company profile

Afresh Tech Stack

AI ordering and inventory optimization software for grocery retailers

Software Development San Francisco, California 51–200 employees Founded 2017 Privately Held

Afresh builds AI-driven ordering, forecasting and replenishment software for grocers, spanning store departments and distribution centers. Its stack pairs Spark, Databricks, Snowflake, dbt and MLflow with Airflow, pointing to a mature ML pipeline built for heavy customer-data ingestion. Senior- and staff-weighted, engineering- and data-heavy hiring lines up with new projects in agent platforms, retrieval layers and evaluation infrastructure, a sign of a push into LLM-based tooling.

Tech Stack 28 technologies

Core StackApache Spark dbt Python Databricks Snowflake MLflow TypeScript BigQuery Salesforce HubSpot Slack JavaScript React PostgreSQL GraphQL Terraform Kubernetes Datadog Sentry Apache Airflow Azure LinkedIn Recruiter Stack Overflow Discord Azure Kubernetes Service Entra

What Afresh Is BuildingChallenges and projects from their job posts

◆Challenges

Processing large volumes of customer data
Scaling the AI ordering product
Improving customer integration speed
Ensuring customer data quality
Complex demand forecasting under supply chain uncertainty
Managing perishable inventory decay

▲Active Projects

Next-generation AI grocery ordering product
Core replenishment system
Agent platform with knowledge and retrieval layer
Evaluation infrastructure
Data integrations and ETL for DC products
Multi-echelon inventory optimization

Hiring Activity

Accelerating20 roles · 9 in 30d

Department

Engineering

Data

Finance

Product

Sales

Marketing

Seniority

Senior

Staff

Lead

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About Afresh

Afresh is a San Francisco-based, privately held software company founded in 2017 with a mission to reduce food waste. It sells an AI platform to grocery retailers that guides buying, ordering, production and selling decisions, with a focus on fresh categories such as produce and meat. The platform covers both store operations and distribution centers. The company employs 51–200 people and hires in the United States and Canada.

HeadquartersSan Francisco, California

Company Size51–200 employees

Founded2017

Hiring MarketsUnited States, Canada

Frequently Asked Questions

What tech stack does Afresh use?

Afresh runs Python, Apache Spark, Databricks, Snowflake, dbt, MLflow and Apache Airflow for data and ML. Its apps use TypeScript, React, GraphQL and PostgreSQL, deployed on Azure Kubernetes Service with Terraform, Datadog and Sentry.

What is Afresh working on?

Afresh is building a next-generation AI grocery ordering product, a core replenishment system, an agent platform with a knowledge and retrieval layer, evaluation infrastructure, and data integrations for distribution center products.

Is Afresh hiring engineers?

Yes. Hiring is accelerating and centers on engineering and data roles, mostly at senior, staff and lead levels, with openings in the United States and Canada.

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How this profile is built

Afresh's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.