For Food Delivery Services

Stop Wasting Food and Cash on Guesswork Ordering Get Custom AI Inventory Forecasting That Fits Your Delivery Routes and Peak Hours

Imagine slashing overstock by 40% and never missing a rush-hour order again. We build it just for your routes, your menu, and your unpredictable demand.

Join 150+ businesses with optimized stock levels and happier customers

Cut waste from spoiled perishables by predicting demand spikes
Free up cash tied in excess inventory for better route expansions
Ensure every delivery driver has the right ingredients without last-minute scrambles

The "Stock Chaos" Problem

Leafy greens and dairy spoiling in coolers before delivery routes start

Rushing to restock during lunch peaks, delaying orders

Overbuying bulk staples like basmati rice or soy sauce after a viral promo or catering gig

Seasonal menu shifts throwing off your ingredient counts

Driver route optimizations disrupting portion forecasting for meal kits or bento boxes

Sudden weather shifts or local festivals spiking demand for comfort foods like soups or grilled items

Our Tailored AI Forecasting Solution

We've helped dozens of delivery services like yours ditch generic spreadsheets and build forecasting systems that actually understand the chaos of daily routes and customer cravings.

Why Choose Us

Here's the thing: one-size-fits-all software treats your kitchen like a warehouse, ignoring the fresh twists of food delivery. We craft a custom AI model from the ground up, trained on your order history, route data, and even local weather patterns. It's flexible, scaling with your menu changes or new neighborhoods. Let's be honest, you're probably thinking about those late-night rushes where everything goes wrong—this system anticipates them, keeping your ops smooth and your customers smiling.

What Makes Us Different:

Integrates directly with your POS and delivery apps for real-time data
Predicts demand down to the meal, factoring in trends like viral TikTok orders
Alerts you to reorder just in time, like a smart sous-chef watching the clock

Why This Perfect Fit Transforms Your Operations

Zero Stockouts During Peak Delivery Windows

No more turning away orders because you ran out of fresh herbs or artisanal cheeses mid-rush. Our custom model forecasts demand with 95% accuracy, using your historical sales data from apps like DoorDash—saving you from those frantic calls to local farms and keeping your 4.8-star ratings intact.

Slash Waste and Boost Your Bottom Line

Picture this: instead of composting 20% of your weekly tomatoes and berries, you're portioning them perfectly into salads and smoothies. We optimize for perishables by analyzing patterns like Friday night pizza surges, reducing spoilage by up to 40% and freeing up $5,000 quarterly for fleet upgrades or staff bonuses.

Streamline Reordering for Your Unique Workflow

Forget rigid templates that ignore your twice-weekly produce deliveries. Our system auto-generates orders tailored to your supplier lead times and seasonal menu swaps like summer BBQ to fall harvest bowls, cutting manual inventory checks by 10 hours weekly so your team can focus on prepping hot paninis right on time.

What Clients Say

"Before AIQ Labs, we'd overstock marinara and pesto sauces after a busy Friday catering rush and watch half spoil by Monday's lunch prep. Their custom forecasting cut our sauce waste by 35% in the first month, and now we breeze through peak dinner deliveries without skipping a beat. It's like having an extra inventory whiz who never sleeps."

Maria Gonzalez

Operations Lead, QuickBite Deliveries

"Our delivery zones expanded last year to include suburbs, but our old Excel sheets couldn't track varying demands for vegan bowls versus meat-heavy meals. AIQ built us a system that predicts orders per zip code—slashed stockouts from 15% to under 2% in three months, and our drivers aren't doubling back for forgotten avocados anymore. Total game-changer for scaling our ghost kitchen."

Raj Patel

Kitchen Manager, UrbanEats Express

"Rainy weeks used to blindside us, like when soup orders spiked 50% and we drowned in unused kale for salads. The AI they customized pulls in weather APIs and our flash sale data, saving us about $2,000 monthly on excess greens and proteins. It's straightforward tech that fits our farm-to-table model perfectly."

Sarah Kim

Owner, FreshFleet Foods

Simple 3-Step Process

Step 1

Discovery and Data Dive

We start by mapping your current workflow—your POS data, delivery logs, and menu quirks. No cookie-cutter audits; it's all about uncovering what makes your service tick.

Step 2

Custom Model Build

Our engineers craft an AI tailored to your needs, training it on your specifics like peak-hour patterns and supplier lead times. It's built to evolve with your business.

Step 3

Integration and Launch

We plug it into your systems for seamless alerts and forecasts. Then, we train your team—watch it predict and prevent issues from day one, with ongoing tweaks as you grow.

Why We're Different

We build from scratch with your exact delivery rhythms in mind, not bolt-on tools that force you to adapt
True ownership means no endless subscriptions—just a robust system you control, scaling as your routes do
Our AI digs into food-specific variables like shelf life and freshness, unlike generic forecasters that miss the mark
We avoid fragile no-code hacks, delivering production-ready code that handles high-volume order spikes without crashing
Deep integrations with your POS and route planners create a unified view, eliminating the data silos that plague delivery ops
Focus on your cash flow realities, optimizing for perishable costs that off-the-shelf software overlooks
Engineers who get the rush of food service— we've built similar systems for our own ventures, so we know the pain
Flexible enough for menu experiments or pop-up events, adapting without rebuilding from zero
Prioritize customer experience by forecasting accurate portions, reducing delays that frustrate eaters
Ongoing support from us, your partners, ensures the system stays sharp as trends like ghost kitchens emerge

What's Included

AI-driven demand prediction using your order history and external factors like weather
Automated reorder alerts synced to supplier availability and delivery windows
Custom dashboards showing stock levels, waste projections, and savings in real-time
Integration with POS systems for instant sales data capture
Seasonal adjustment models for holidays or promo-driven menu changes
Perishable tracking with expiration warnings to minimize spoilage
Route-optimized forecasting to match inventory with driver loads
Scenario simulations for 'what-if' events like traffic delays
Mobile alerts for on-the-go managers checking stock mid-shift
Historical trend analysis to refine future forecasts automatically
Cost optimization reports breaking down savings on ingredients
API hooks for seamless connection to your accounting and CRM tools

Common Questions

How does your forecasting handle sudden demand spikes, like a viral social media promo?

Great question—food delivery thrives on those unpredictable moments. Our custom AI is trained on your past data, including any promo-driven surges you've had, and layers in real-time inputs like social buzz or event calendars. For instance, if a TikTok trend boosts salad orders by 30% overnight, the model adjusts forecasts within hours, alerting you to ramp up greens without overcommitting. It's not rigid; we build in flexibility so it learns from your unique patterns, reducing the guesswork that leads to stockouts or waste. We've seen services cut emergency orders by 50% after implementation, keeping operations smooth even when the internet explodes your popularity.

What makes this different from off-the-shelf inventory apps?

You're probably thinking, 'I've tried those apps, and they don't get delivery specifics.' Exactly. Generic tools use broad algorithms that ignore things like your perishable timelines or varying route demands. We custom-build yours to fit—analyzing your exact menu, supplier schedules, and peak windows. No more forcing your workflow into a template. For a client with fluctuating vegan options, we tailored predictions to seasonal ingredient availability, dropping their overstock by 25%. It's yours to own, scalable without subscription traps, and integrated deeply so data flows effortlessly from orders to stock alerts.

How quickly can we see results after implementation?

Let's be honest, you need wins fast in food service. We aim for a working prototype in 4-6 weeks, with full integration in 8-10, depending on your data setup. Early on, you'll notice fewer manual checks as the AI starts predicting basics like daily protein needs. One delivery service we worked with saw a 15% waste reduction in the first month, just from better forecasting on chicken portions during weekends. We include training so your team trusts it immediately, and it only gets smarter with use—handling complexities like weather-impacted orders right away.

Can this system account for our multiple delivery zones?

Absolutely, and it's a common headache we solve. Zones mean different tastes and timings—urban areas might crave quick sushi, while suburbs go for family meals. Our AI segments forecasts by zone, pulling in route data to predict loads accurately. For a client expanding to three new areas, we built zone-specific models that cut understock incidents by 40%, ensuring drivers aren't overloaded or short. It's all custom-coded to your map, with dashboards letting you tweak as neighborhoods evolve. No more blanket predictions that leave some trucks empty while others overflow.

What data do you need from us to get started?

We keep it simple and secure—mostly your historical order data from POS, delivery logs, and supplier invoices. No need for perfect records; we clean and structure it during discovery. Think sales volumes, menu items sold, and basic inventory turns. For a pizza delivery chain, we started with six months of messy Excel sheets and turned it into a predictive powerhouse that now flags dough shortages before they happen. We handle the heavy lifting, ensuring privacy compliance, so you focus on running your kitchen while we build the smarts.

Is the system flexible if we change menus or add new services?

Food delivery evolves fast—new vegan lines or ghost kitchen tie-ins shouldn't break your forecasting. Our approach uses modular AI that adapts quickly; we can retrain models in days for menu updates. A service adding breakfast deliveries saw us recalibrate for morning perishables like eggs, maintaining 92% accuracy without downtime. It's built for you, not against change, with easy interfaces to input shifts. Long-term, this means your investment grows with your business, avoiding the rework generic systems demand.

Ready to Get Started?

Book your free consultation and discover how we can transform your business with AI.