Published on April 21, 2026
Grocery stores in the U.S. used to rely on outdated methods to manage inventory, resulting in the waste of around four million tons of food each year. Fresh produce, in particular, faced the brunt of this inefficiency, as store managers often resorted to basic guesswork when estimating demand.
Recently, the startup Afresh emerged with AI solutions that significantly reduce food waste. With $34 million in new funding, the company aims to expand its offerings, which have already helped grocers cut waste by 25% using sophisticated data analysis and machine learning.
Afresh was founded and Nathan Fenner after they observed the cumbersome processes grocery managers used during their MBA studies. They soon developed software that analyzes billions of transactions, taking various factors into account to improve inventory accuracy and reduce spoilage rates.
The implementation of Afresh’s technology is yielding substantial results. It not only helps stores order the right amount of stock but also optimizes inventory management throughout the supply chain. The dual environmental and financial benefits of reducing food waste present a compelling case for grocers facing $26.9 billion in loss due to waste annually.
Related News
- Cloudflare Enhances Enterprise Workflows with OpenAI's GPT-5.4 and Codex
- Apple Users Targeted by Sophisticated iCloud Storage Scam
- Roblox Expands Age-Check Measures Amid Parental Concerns
- GitHub Faces Service Interruptions: March 2026 Report
- Spotify Ventures into Physical Book Sales, Redefining Digital Entertainment
- Dancer with MND Takes the Stage Again Through Digital Innovation