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The AI That Predicts What You'll Buy
FoodForecast tackles the $1T food waste problem with hyper-local demand forecasting
Every grocery store throws away 10-15% of its inventory daily. FoodForecast's AI sees the future—predicting exactly how many croissants to bake at 6 AM for a 6 PM rush, turning waste into profit for multi-site food operators.
"They're not forecasting food—they're forecasting human behavior at the hyper-local level."
The Precision Problem
Traditional food operators guess based on yesterday's sales. FoodForecast ingests weather, events, foot traffic, and historical patterns to predict intra-day demand. Their 32-person team is building the nervous system for food retail, where every bakery, deli, and café operates with surgical precision.
The Growth Trajectory
With $3.33M in funding and $5.3M in revenue, FoodForecast is capital-efficient but growing cautiously. Their 2,576 monthly visits reveal a focused B2B strategy—direct traffic (38%) suggests existing clients checking dashboards, while organic search (48%) shows they're capturing intent from operators searching for 'food production' (1,380 monthly searches) and 'prognose' (2,750 monthly searches in German).
The tech stack reveals sophistication: Vite for speed, Tailwind CSS + DaisyUI for rapid UI development, and jQuery legacy code—likely from their early days. The absence of Trustpilot reviews and backlinks suggests they're prioritizing product over PR, a classic founder-led strategy in enterprise B2B.
- Intra-day forecasting granularity (not just daily)
- Multi-site operator focus (not single-store)
- AI-first approach (not rule-based systems)
- German engineering roots (smart-foodforecast.de)
The Silent Giant in Food Tech
While competitors chase flashy consumer apps, FoodForecast is quietly building the infrastructure layer for the entire food industry—one prediction at a time.
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Open Graph Image

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Meta Tags
foodforecast: Less waste. Higher sales. Boosting profit with AI.
Intra-day forecasting of ultra-fresh goods to automate store production and ordering for multi-site food operators.
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About foodforecast.com
Intra-day forecasting of ultra-fresh goods to automate store production and ordering for multi-site food operators.
Company Overview
foodforecast.com Social Media
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Technology Stack
foodforecast.com uses 24 technologies across their website including Vimeo, Font Awesome, Google Fonts, HSTS, and more.
Video
Vimeo
Fonts
Font Awesome, Google Fonts
Security
HSTS
CMS
Contentful, Webflow
CDN
jsDelivr
Cloud & Hosting
AWS CloudFront, Cloudflare
Traffic & Audience
foodforecast.com receives approximately 2.6K monthly visitors and ranks #6,201,689 globally. The website has a bounce rate of 80% with visitors viewing an average of 1.7 pages per visit. Users spend an average of 0:39 on the site.
The majority of foodforecast.com's traffic comes from .
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This page provides publicly available information about foodforecast.com. Data is collected from various public sources and may not always be up to date. For the most accurate information, please visit foodforecast.com directly at https://foodforecast.com.