Spillage

✦ Concept

Automatic waste tracking for restaurants via smart scales under prep stations and trash bins. Chefs prep as usual; the system learns what items are being tossed (trimmings vs. spoilage vs. over-prep), calculates dollar loss per shift, and texts the kitchen manager a daily waste report with specific culprit dishes. No manual logging, no behavior change required—just plug in scales, train the ML model for 2 weeks on your menu, and start catching the $2,000/month leaks most kitchens don't even know exist.

Target

Independent full-service restaurants doing $80k+/month revenue with 15+ menu items and 8+ kitchen staff (prime candidates: farm-to-table, seafood, upscale casual where ingredient cost runs 32-38% and waste is invisible)

Revenue

$299/month SaaS per location after hardware purchase. Hardware: $1,200 upfront (4 smart scales + hub). Upsell: $99/month for supplier integration (auto-flags which vendors have highest spoilage rates). Target 120 restaurants in Year 1 = $430k ARR.

💡 Why It Works

"Restaurants lose 4-10% of food purchases to waste, but only track it if someone manually weighs and logs trash—which never happens consistently. The insight: waste is highly predictable by dish and shift, but invisible until you automate measurement. Kitchens will pay to eliminate a $24k/year silent profit killer they currently solve with clipboard audits that last 3 days before staff stops filling them out."

Score

78 /100

Originality 82

Feasibility 84

Potential 78

Cost $8,000–$15,000 (hardware prototypes, scale supplier partnerships, first 3 pilot installs, Twilio/hosting credits, basic ML tooling)

Timeline 4-5 months (2 months building hardware integration + basic backend, 2 months pilot data collection, 1 month model tuning and reporting dashboard)

Team 2 people: 1 full-stack dev with IoT/hardware experience (Raspberry Pi, MQTT, Python), 1 co-founder who can sell to restaurant owners and train the ML model on kitchen workflows

Cons

×Requires in-person hardware installation and 2-week on-site training period per restaurant—hard to scale without field ops team or installer partnerships

×Restaurants are notoriously slow adopters with thin margins; sales cycle is 60-90 days and churn risk is high if the system requires any manual input or kitchen workflow changes

✦ Branding Kit

Tagline

"Stop guessing what you're throwing away"

Name Ideas

Spillage

Trimline

Scrapmark

Domain Ideas

spillage.io

usetrimline.com

scrapmark.co

Startup Starter Guide

First Steps

Partner with 1 local restaurant for 90-day free pilot; install $800 worth of industrial IoT scales (Mettler Toledo or equivalent) under their prep station and compost bin; manually label waste for 2 weeks to build training data

Build basic Flask API that ingests scale weight deltas + timestamp, runs simple heuristic model (time of day + station + weight range = likely dish/ingredient), and sends daily SMS report via Twilio with top 3 waste sources

Charge pilot restaurant $199/month after pilot; use their testimonial and waste savings data ($1,800/month proven savings) to cold-email 50 similar restaurants in metro area offering same pilot deal

Simple MVP

4 Raspberry Pi-connected scales ($200 total), open-source weight logging (Node.js + PostgreSQL), rule-based waste categorization (if 6am-10am + 0.5-2 lbs + prep station = likely veggie trim), daily Twilio SMS with 'You wasted $180 in salmon today—32% above your baseline.' Built and deployed in one restaurant in 6 weeks for <$3k.

Growth Ops

↗ Sell anonymized waste benchmark data to food distributors (Sysco, US Foods) so they can show restaurant clients 'you waste 40% more produce than similar restaurants'—$50k/year licensing deal per distributor

↗ White-label for sustainability consultants and ESG auditors who need verified waste data for corporate restaurant chains pursuing zero-waste certifications

Creative Twist

"The system learns each cook's waste signature—not to shame them, but because waste patterns are person-specific (some cooks over-trim, some over-batch). After 60 days, the manager gets a private weekly report: 'Cook #3 wastes 18% less than team average on fish dishes.' Turns waste reduction into a quiet competition without being punitive."