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Guac: AI That Finally Fixes Grocery Waste
A 7-person team building AI for fresh grocery forecasting, hitting $0.6M ARR.
In the $800B grocery industry, forecasting is a manual nightmare of spreadsheets and gut feelings. Guac is the AI-first platform replacing that chaos with precision—predicting sales for every SKU at every store, every day.
"They're not selling software; they're selling certainty in the most volatile sector of retail."
The Problem: Fresh is Fragile
Fresh produce, dairy, and bakery items have razor-thin margins and brutal spoilage rates. Traditional forecasting tools are built for canned goods with stable demand, not strawberries with a 72-hour shelf life. Guac’s founders saw this gap and built a system that ingests historical data, local events, and weather patterns to generate hyper-local predictions.
The Traction: Quiet Scale
With just 7 employees, Guac is already generating $0.6M in annual revenue. That’s over $85k per employee—a staggering efficiency ratio for an early-stage SaaS company. They’re not burning cash on marketing; they’re building a product that sells itself through undeniable ROI: reduced waste and optimized inventory.
The tech stack is modern and lean—built on Next.js, hosted on Vercel, and instrumented with PostHog for product analytics. This isn't a legacy enterprise tool; it's a cloud-native, API-first platform designed for speed and integration.
- SKU-level granularity: Forecasts down to the specific item, not just category.
- Store-level precision: Accounts for local demographics and micro-climates.
- Actionable output: Turns forecasts directly into ordering and production plans.
- Zero traffic footprint: They’re selling direct, not relying on SEO traffic.
The Verdict: A Sleeper Hit
Guac is a classic vertical SaaS play—dominating a specific, high-value niche with deep expertise. For investors, the $0.6M ARR on a 7-person team signals strong product-market fit. For founders, it’s a lesson in focusing on a painful, expensive problem in an old-school industry.
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AI-powered demand forecasting for grocery retailers. Forecast sales for every SKU at every store, then turn forecasts into ordering and production planning recommendations.
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About tryguac.co
AI-powered demand forecasting for grocery retailers. Forecast sales for every SKU at every store, then turn forecasts into ordering and production planning recommendations.
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tryguac.co uses 10 technologies across their website including HSTS, Vercel, PostHog, and more.
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tryguac.co receives approximately 0 monthly visitors. The website has a bounce rate of 0% with visitors viewing an average of 0.0 pages per visit. Users spend an average of 0:00 on the site.
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