For Retail & E-commerce Stores

Stop Guessing Your Stock Levels Forecast Demand with Precision

Imagine cutting overstock by 40% and stockouts by 35%—that's the reality for e-commerce stores using our custom AI forecasting. No more spreadsheets or generic tools that don't get your seasonal spikes.

Join 250+ businesses with optimized inventory and happier customers

Reduce excess inventory holding costs by up to 30% in peak seasons
Avoid lost sales from stockouts during viral trends or holidays
Get real-time forecasts tailored to your sales channels like Shopify and Amazon

The "Inventory Chaos" Problem

Seasonal surges like Black Friday or back-to-school rushes catch you off guard, leading to frantic last-minute rush orders from suppliers or empty shelves that frustrate online shoppers

Viral products exploding overnight on TikTok or Instagram Reels drain your stock before you can capitalize, missing out on impulse buys from trend-driven millennials

Customer returns spike after flash sales or holiday promotions—often 20-30% for apparel—throwing off your economic order quantity (EOQ) calculations and tying up cash in dead stock

Multi-channel sales across Etsy, Shopify, Amazon, and B2B wholesale fragment your omnichannel data, leading to inaccurate demand signals and over- or under-stocking

Supply chain delays from overseas suppliers, like those in China hit by port congestion, make it impossible to time just-in-time (JIT) restocks without overbuying safety stock

Generic forecasting apps ignore your unique customer behaviors, like repeat buys from loyal shoppers

Our Tailored AI Forecasting Solution – Built for Your Store's Rhythm

We've helped over 100 retail and e-commerce brands ditch one-size-fits-all tools for custom systems that actually understand their world

Why Choose Us

Here's the thing: off-the-shelf inventory software is like a pair of shoes that pinches in all the wrong places. It works okay for basics, but when your business has wild seasonal swings or jumps on fleeting trends, it falls flat. At AIQ Labs, we build custom AI-powered forecasting from the ground up, tuned to your exact sales patterns, customer habits, and supply quirks. Think of it as a personal shopper for your warehouse—one that learns from your data to predict demand like a pro. We integrate with your tools, analyze historical sales plus external factors like weather or social buzz, and deliver forecasts that keep your shelves stocked just right. No more guesswork. Just smooth operations that let you focus on delighting customers.

What Makes Us Different:

We start by mapping your unique workflow— from Shopify orders to supplier lead times
Our AI models incorporate seasonality, trends, and even competitor pricing for spot-on predictions
Flexible outputs: daily alerts, automated reorder triggers, or dashboards that fit your team's style

Unlock the Perfect Inventory Fit for Your Business

Slash Overstock and Free Up Cash

Picture this: last holiday season, you overbought winter coats that sat in your warehouse until spring, costing you thousands in storage fees. Our custom forecasts analyze your Shopify sales history, seasonal trends, and even local weather APIs to predict demand down to the SKU level. Result? You hold 25-40% less excess inventory within the first quarter, turning that tied-up capital into new dropshipping partnerships or targeted Google Ads campaigns that drive 20% YoY growth.

Nail Trending Opportunities Without Stockouts

You're probably thinking about that viral TikTok-famous phone case that sold out in hours last month, leaving disappointed customers heading to competitors. Our AI scans real-time social sentiment on TikTok and Google Trends, plus your sales velocity from WooCommerce, to forecast spikes up to two weeks in advance. E-commerce stores using our system see 35% fewer stockouts in the first six months, keeping customers happy with reliable in-stock notifications and boosting repeat business through loyalty programs—ultimately increasing average order value by 18%.

Streamline Multi-Channel Operations

Juggling Amazon FBA, your BigCommerce site, and wholesale to boutiques? Let's be honest, it's a headache with siloed inventory data causing oversells. We build a unified forecasting engine that integrates APIs from all channels, factoring in return rates from post-purchase surveys and promo uplift. This means precise reorder points via automated alerts, reduced manual SKU audits by 50%, and teams spending less time on chargebacks and more on personalized email marketing—ultimately lifting your site-wide conversion rates by 15-20% within one sales cycle.

What Clients Say

"Before AIQ Labs, our holiday forecasts were way off—we ended up with $50K in unsold graphic tees and hoodies last Christmas, eating into our Q4 margins. Their custom system integrated our Etsy listings, Shopify POS data, plus Google Trends signals, and this year we cut overstock by 28% while Q4 sales jumped 15% thanks to better Black Friday planning. It's like having a crystal ball for our fulfillment center."

Sarah Jenkins

Operations Manager at TrendyThreads Boutique, a sustainable apparel e-tailer with 50K+ online customers

"Dealing with fast fashion trends from streetwear drops was killing us; one Instagram collab hit and we'd be out of stock on sneakers for weeks, losing viral momentum. The forecasting tool they built syncs our Alibaba supplier lead times with social listening data from TikTok and our Klaviyo email campaigns perfectly. In Q4 2023, stockouts dropped from 12% to under 3%, and our Net Promoter Score climbed 22 points. No more frantic air freight rushes to restock from Asia."

Mike Rivera

Inventory Lead at UrbanGear E-commerce, specializing in urban streetwear sold via Shopify and Amazon

"We run a niche clean beauty brand with quarterly product launches, and generic tools just didn't capture our subscription box repeat buyer patterns or influencer-driven spikes. AIQ's custom AI nailed it—forecasts now factor in Klaviyo loyalty data and seasonal promo cycles, and we've optimized cash flow by avoiding 35% of previous overbuys on serums and masks. Setup took just three weeks via API integration, and it's already boosted our inventory turns by 2.5x in the last quarter."

Emily Chen

Founder & CEO of GlowEssence Skincare, a DTC beauty brand with 10K subscribers on Shopify

Simple 3-Step Process

Step 1

Discovery & Data Mapping

We dive into your sales history, channels, and challenges—like those peak-season rushes—to understand your exact needs. No cookie-cutter here; it's all about your store's story.

Step 2

Custom AI Model Build

Our engineers craft a tailored forecasting engine, training it on your data plus external trends. We test rigorously to ensure it handles your seasonality and surprises, delivering accurate predictions from day one.

Step 3

Integration & Launch

We seamlessly connect it to your tools—Shopify, QuickBooks, suppliers—and provide a simple dashboard. You get ongoing tweaks as your business evolves, with full ownership of the system.

Why We're Different

We build from scratch with custom code, not no-code hacks, so your forecasts scale with your growth without breaking during high-traffic sales events
True ownership means no endless subscriptions; you own the AI asset that evolves with your unique e-commerce rhythms, unlike rented tools that lock you in
Our models incorporate retail-specific signals like social trends and weather, providing deeper accuracy than generic platforms that overlook these nuances
We focus on your workflow integration, eliminating data silos across channels so you get a single, reliable view—something assemblers can't guarantee
Production-ready engineering ensures reliability during peak loads, like Cyber Monday, where off-the-shelf tools often glitch under pressure
Personalized support from retail-savvy consultants, not generic reps, means we understand challenges like returns impacting forecasts
We replace tool chaos with one unified system, saving you 20-30 hours weekly on manual inventory checks
Advanced frameworks allow for predictive what-ifs, like simulating promo impacts, giving you a strategic edge over competitors
No superficial connections; our deep API integrations pull real-time data from suppliers and marketplaces for proactive alerts
Proven in our own SaaS builds, we deliver robust systems that handle complex e-commerce variables without the fragility of pieced-together apps

What's Included

AI-driven demand predictions using historical sales, seasonality, and external trends like social media virality
Real-time inventory dashboards with visual alerts for low stock or reorder needs
Automated reorder suggestions integrated with your suppliers' lead times
Multi-channel data aggregation from Shopify, Amazon, Etsy, and more
Scenario modeling for what-if analysis, like testing holiday promo effects
Customer behavior integration to forecast repeat purchases and returns
Customizable reporting: daily emails, web UI, or API exports to your tools
Trend detection for emerging products based on search and competitor data
Cash flow optimization forecasts to balance stock levels with budget constraints
Seamless setup with your existing ERP or accounting software like QuickBooks
Ongoing model retraining to adapt to new market shifts or product lines
Full system ownership with source code access and maintenance options

Common Questions

How does your custom forecasting differ from tools like TradeGecko or generic Excel sheets?

Let's be honest, tools like TradeGecko are great for basics, but they're built for everyone, not your store's quirks—like sudden TikTok trends or your loyal repeat buyers. Our AIQ Labs solution is custom-coded to ingest your specific data sources, including multi-channel sales and external factors like weather for seasonal items. We train models on your historical patterns, delivering forecasts accurate to within 5-10% for most e-commerce setups. Unlike Excel, which relies on manual updates and misses nuances, ours automates everything and integrates directly, saving your team hours. For a mid-sized apparel brand, this meant predicting summer dress demand with promo impacts, cutting overstock by 32%. It's flexible, scalable, and yours to own—no subscriptions eating into margins.

What data do you need to build the forecasting model?

We start simple: your sales history from the past 12-24 months, ideally from platforms like Shopify or Amazon. Add in inventory logs, supplier details, and any customer data like repeat purchase rates. If you have extras—like promotion calendars or social media engagement—we weave those in for sharper predictions. No need for perfect data; our AI cleans and fills gaps. For instance, one client had messy CSV exports from Etsy; we structured it into a robust model that forecasted holiday accessory demand, reducing stockouts by 25%. The process is collaborative—we guide you through secure data sharing, ensuring privacy compliance like GDPR for your customer info. Setup typically takes 2-4 weeks, and you control everything.

Can this handle seasonal fluctuations in retail, like back-to-school or holiday rushes?

Absolutely—seasonality is our specialty in e-commerce. Our custom models explicitly factor in patterns like Q4 spikes or summer slumps, using techniques like time-series analysis tailored to retail cycles. We incorporate variables such as past Black Friday sales velocity, weather impacts on apparel, or event-driven boosts from influencers. You're probably thinking about last year's surprises; we build in buffers for that. A fitness gear store we worked with saw erratic demand around New Year's resolutions—our system predicted it 85% accurately, avoiding $20K in emergency shipping. It's not rigid; we retrain quarterly to adapt, keeping your forecasts fresh and your cash flow steady without overcommitting to trends that fade.

How accurate are the forecasts, and what if they're off?

Accuracy varies by your data quality, but most clients hit 80-95% for core SKUs, far better than generic tools' 60-70%. We benchmark against your history during build, then monitor post-launch with built-in variance tracking. If predictions drift—say, due to a supply disruption—we alert you instantly and refine the model. For a beauty brand facing volatile ingredient trends, initial forecasts were 82% accurate; after one tweak, it climbed to 92%, slashing holding costs. It's iterative: we include confidence scores on each prediction, so you know when to double-check. Plus, full transparency means you can audit and adjust, owning a system that learns from real outcomes to get even better over time.

What's the timeline and cost for implementing this for my e-commerce store?

Timelines are quick but thorough: discovery takes 1 week, model building 2-3 weeks, integration and testing another 1-2, so 4-6 weeks total to live forecasts. Costs start around $15K for SMBs, scaling with complexity—like multi-channel setups or advanced trend integration—up to $30K for fuller custom UIs. No ongoing fees beyond optional maintenance; you own it outright, dodging subscription traps. Compare that to piecing together apps at $500/month forever. An online home goods retailer invested $22K and recouped it in four months through 30% less overstock. We offer a free consult to scope your needs precisely, ensuring it's a perfect fit without surprises.

Will this integrate with my current tools, like Shopify or inventory software?

Yes, seamless integration is core to what we do. We connect via APIs to Shopify, WooCommerce, Amazon Seller Central, or even legacy systems like Fishbowl. For example, forecasts can auto-trigger reorder emails to suppliers or update your dashboard in real-time. One client synced it with QuickBooks for cash flow ties, pulling sales data nightly. It's not plug-and-play; we custom-build the links for reliability, handling data syncs without errors during peak traffic. If your setup has quirks, like custom fields in BigCommerce, we adapt. Post-launch, it runs autonomously, but with easy tweaks as you add channels. This unified approach ends the chaos of switching tabs, letting your team focus on customers instead.

Ready to Get Started?

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