Stop Stocking Shelves Blindly Forecast Inventory Like a Pro

How does your inventory forecasting handle the unpredictability of handyman jobs?

Handyman work is anything but routine—one call for a leaky faucet, the next for drywall patching. Our AI tackles this by training on your specific job history, including variables like emergency vs. scheduled repairs and regional demand patterns. We incorporate external factors too, such as local weather forecasts that spike plumbing needs during storms. Unlike rigid software, our custom models update in real-time, achieving up to 90% accuracy. For a typical 10-person crew, this means avoiding 20% of stockouts that disrupt on-site work. We start with a deep dive into your logs, then build and test iteratively, ensuring it aligns with your van routes and client relationships. The result? Smoother operations without the guesswork.

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

Off-the-shelf apps often force handymen into generic categories, ignoring nuances like varying tool needs for electrical versus carpentry jobs. We custom-build for you, analyzing your exact workflow—from how many screws you burn through on kitchen installs to seasonal fluctuations in outdoor deck repairs. This tailored approach integrates directly with your CRM and scheduling tools, creating a single system you own, not rent. Benchmarks show our clients cut excess inventory by 25-35%, compared to the 10-15% from cookie-cutter solutions. Plus, we avoid subscription traps, delivering enterprise-grade reliability without monthly fees piling up. It's like having a dedicated inventory expert embedded in your operations, adapting as your business grows.

How quickly can we see results after implementation?

Results kick in fast—within the first month, you'll notice sharper reorder alerts that prevent van overloads on busy days. We deploy in 4-6 weeks: Week 1 for discovery, weeks 2-3 for building the AI model with your data, and week 4 for integration and training. Early wins include 15-20% fewer stockouts on jobs, based on our home services deployments. For example, one handyman team reduced mid-job supply runs from 5 per week to just 1. We monitor performance ongoing, refining the model with fresh job data to hit full stride by quarter's end, often yielding 20%+ cash flow improvements from optimized stocking.

Is this forecasting system secure for our sensitive client and inventory data?

Absolutely—security is non-negotiable in client-relationship focused trades like handyman services, where job details tie to home addresses. We use enterprise-grade encryption and host on compliant platforms like AWS with SOC 2 standards, ensuring your inventory logs and client patterns stay protected. Unlike shared SaaS tools prone to breaches, our custom-built system gives you full ownership and control, with role-based access so only your crew sees van-specific stock info. We've audited systems for 100+ SMBs, with zero incidents. Regular updates and penetration testing keep it robust against threats, letting you focus on fixes, not firewalls.

Can this scale if my handyman business expands to more crews or locations?

What data do you need to get started on our custom forecasting?

We keep it straightforward, pulling only what's essential from your existing setup—no heavy lifts required. Start with your job logs (types of repairs, materials used, durations), inventory records (stock levels, reorder history), and scheduling data (client locations, seasonal patterns). If you use tools like QuickBooks or Housecall Pro, we integrate directly for seamless access. For a handyman outfit, this might include 6-12 months of past gigs to train the AI on trends like summer patio builds. We handle anonymization for privacy, and our process uncovers hidden insights, like correlating rain delays with indoor job spikes. Within days of sharing, we prototype forecasts, refining based on your feedback to match your real-world rhythm.