Afresh Technologies

Afresh Technologies builds an AI platform for grocery retail that helps supermarkets and distributors manage fresh food, reducing shrink, improving in-stock rates, and cutting food waste across store ordering, inventory management, production planning, recipe management, and distribution-center buying. Its machine-learning decision engine forecasts demand for perishable, random-weight, and bulk items where operational data is inherently messy, and is also offered as a backend Replenishment API that plugs Afresh's forecasting and ordering logic into a retailer's existing front-end systems without changing in-store associate workflows. The company is based in San Francisco and is backed by Insight Partners.

Afresh Technologies is profiled on the APIs.io network. Tagged areas include Company, Grocery, Retail, Artificial Intelligence, and Supply Chain.

Afresh Technologies’ developer surface includes engineering blog, signup flow, and 4 more developer resources.

🌐 Visit website 📡 Source on GitHub

12.6/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyGroceryRetailArtificial IntelligenceSupply ChainInventory ManagementDemand ForecastingFood WasteFresh Food

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 12.6/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.4 / 20

Commercial Clarity 4.7 / 20

Operational Transparency 0.7 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/afresh-technologies: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: afresh-technologies
name: Afresh Technologies
description: Afresh Technologies builds an AI platform for grocery retail that helps supermarkets and distributors manage
  fresh food, reducing shrink, improving in-stock rates, and cutting food waste across store ordering, inventory management,
  production planning, recipe management, and distribution-center buying. Its machine-learning decision engine forecasts demand
  for perishable, random-weight, and bulk items where operational data is inherently messy, and is also offered as a backend
  Replenishment API that plugs Afresh's forecasting and ordering logic into a retailer's existing front-end systems without
  changing in-store associate workflows. The company is based in San Francisco and is backed by Insight Partners.
url: https://raw.githubusercontent.com/api-evangelist/afresh-technologies/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://framerusercontent.com/assets/DZdOkdxwixPMtp4U0Cr1qyRBaV8.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- insight-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-17'
tags:
- Company
- Grocery
- Retail
- Artificial Intelligence
- Supply Chain
- Inventory Management
- Demand Forecasting
- Food Waste
- Fresh Food
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.afresh.com/
- type: DomainSecurity
  url: security/afresh-technologies-domain-security.yml
- type: GitHubOrganization
  url: https://github.com/afresh-technologies
- type: Blog
  url: https://www.afresh.com/blogs-all
- type: PrivacyPolicy
  url: https://www.afresh.com/privacy-policy
- type: SignUp
  url: https://www.afresh.com/request-demo
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence