Afresh Tech Stack

AI-powered fresh supply chain optimization for grocery retailers

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

Afresh operates a data-intensive ML platform serving 12,000+ North American grocery stores. The stack—PySpark, dbt, Databricks, Snowflake, Python, SQL, TypeScript on Azure—reflects a mature data engineering org built for high-volume ETL and real-time inference. Active projects on ETL runtime optimization, ML model generalization, and next-generation ordering systems, paired with pain points around scaling the ML platform and customer data integration, reveal a company transitioning from batch-heavy analytics to real-time decisioning. Hiring is accelerating across engineering and product, with a senior-heavy mix suggesting leadership depth rather than junior ramp.

Tech Stack 10 technologies

Core StackPySpark dbt Databricks Snowflake Python TypeScript Salesforce HubSpot SQL Azure

What Afresh Is Building

◆Challenges

Reducing food waste
Scaling ml platform
Scaling customer data integration
Reducing etl runtime
Driving profitability and efficiencies across fresh supply chain
Accelerating deal velocity
Integration time reduction
Improve integration capabilities
Complex data hierarchies
Reducing friction in the sales cycle

▲Active Projects

Real-time inference
Generalize model configuration
Next generation inventory management and store ordering solution
Dc fresh buying
Customer integration tooling
Etl pipeline for billions of records
Etl runtime optimization
Ai ordering product
Next-generation systems
Ipad solution

Hiring Activity

Accelerating10 roles · 7 in 30d

Department

Engineering

Product

Sales

Data

Ops

Seniority

Senior

Mid

Staff

Director

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About Afresh

Afresh builds an AI-powered platform that optimizes fresh food ordering and inventory management for grocery retailers. The company works directly with major chains to reduce demand forecasting errors, minimize out-of-stocks, and cut food waste across produce, meat, and other perishables. The product sits at the intersection of supply chain operations, demand forecasting, and retail data integration—requiring tight coupling between data pipelines (ETL at billions of records scale), ML inference in store systems (iPad solution noted), and backend ordering automation. Revenue and unit economics are tied to operational efficiency gains retailers realize.

HeadquartersSan Francisco, California

Company Size51–200 employees

Founded2017

Hiring MarketsUnited States

Frequently Asked Questions

What is Afresh's tech stack?

Afresh uses PySpark, dbt, Databricks, Snowflake, Python, SQL, TypeScript, and Azure for core infrastructure. They also integrate Salesforce and HubSpot for CRM/sales operations.

How many stores does Afresh work with?

Afresh operates across 12,000+ North American grocery stores, working with partners including Albertsons, Fresh Thyme, and Stater Bros.