Stop Stockouts and Overstock Chaos With AI-Driven Inventory Forecasting Built for Your Operations
In construction and manufacturing, imprecise forecasting leads to 25-30% excess inventory costs annually. Our custom AI solutions deliver 95% accuracy in demand predictions, slashing waste and boosting efficiency by up to 40%.
Join 150+ businesses with optimized supply chains
The "Supply Chain" Problem
Unpredictable material demand spikes during project ramps, such as sudden 25% increases in rebar needs for high-rise pours
Seasonal fluctuations in manufacturing runs causing excess raw material storage, like overstocked lumber during winter slowdowns
Supply delays from vendors disrupting just-in-time inventory for construction sites, leading to 2-3 day idle crane times
Inaccurate forecasting from siloed data between procurement and production teams
Rising holding costs for unused steel and components amid volatile market prices, with scrap value losses up to 15% on galvanized beams
Labor-intensive manual tracking of inventory across multiple job sites and warehouses, including RFID tagging errors on modular components
Tailored AI Inventory Forecasting for Your Workflow
With over a decade of experience building enterprise-grade AI for construction and manufacturing, we've helped firms like yours achieve industry-leading efficiency.
Why Choose Us
One-size-fits-all tools fail construction and manufacturing operations. They ignore the chaos of site-specific demands or the precision of assembly lines. We craft a custom AI system from the ground up, integrating your ERP, project management, and supplier data into a unified forecasting engine. Like a master architect designing a blueprint for your exact build, our solution anticipates disruptions—weather delays, custom orders, or supply chain hiccups—delivering predictions that align perfectly with your unique rhythm. No subscriptions. Just ownership of a scalable asset that evolves with your business.
What Makes Us Different:
Unlock Operational Precision and Cost Savings
Reduce Waste by 30-40%
Reduce Waste by 30-40%: Our AI analyzes patterns in your bill of materials (BOM) and past job completions to forecast needs accurately, incorporating factors like lead times for custom-fabricated trusses. Manufacturers see overstock drop from 28% to under 10% within 3-6 months, freeing capital for equipment upgrades. Construction firms avoid excess rebar piling up unused at sites, cutting disposal fees by 20%.
Boost On-Time Delivery to 98%
Boost On-Time Delivery to 98%: Predict demand fluctuations from seasonal builds or production surges using historical data from ERP systems. No more scrambling for last-minute steel shipments during peak bridge construction seasons. Teams stay productive, projects hit milestones on schedule, and clients return for repeat business, increasing contract wins by 15%.
Save 15-25 Hours Weekly on Manual Checks
Save 15-25 Hours Weekly on Manual Checks: Automate inventory reconciliation across warehouses and job sites with real-time GPS tracking for mobile assets. Supervisors get dashboard insights instead of spreadsheets, allowing focus on high-value tasks like quality control inspections or vendor negotiations for HVAC components.
What Clients Say
"Before AIQ Labs, we were drowning in excess plywood during slow winter months, tying up $150K in inventory across our regional sites. Their custom forecasting, tailored to our concrete pour schedules, cut our overstock by 42% in six months, and now our site managers actually trust the projections for bidding on new commercial builds."
Mike Harlan
Operations Director, BuildRight Construction Services
"Generic software couldn't handle our custom machining runs for aerospace parts—always off by 20% on titanium alloy forecasts. AIQ built us a system that pulls from our CNC logs and supplier APIs for just-in-time delivery. Last quarter, stockouts dropped to zero, saving us $80K in rush orders and keeping our ISO certifications intact."
Sarah Kline
Supply Chain Manager, Precision Fab Manufacturing Inc.
"We juggled three tools for inventory across our pipeline projects, but nothing synced with our field teams' mobile updates. After implementing their AI solution integrated with our Primavera scheduling software, forecasting accuracy hit 96% for pipe fittings, and we're down to one integrated dashboard. It's like having an extra planner on every remote site."
Tom Reyes
Procurement Lead, Apex Industrial Builders LLC
Simple 3-Step Process
Discovery and Data Mapping
We audit your current inventory processes, from raw material sourcing to site delivery, identifying key data sources like ERP systems and project schedules.
Custom Model Development
Our engineers build and train AI models on your specific data—factoring in construction timelines or manufacturing cycles—for hyper-accurate predictions tailored to your operations.
Integration and Deployment
We deploy the system with seamless connections to your tools, providing intuitive dashboards and mobile alerts. Training ensures your team hits the ground running, with full ownership from day one.
Why We're Different
What's Included
Common Questions
How does your inventory forecasting differ from standard ERP modules?
Standard ERP forecasting often relies on basic algorithms that overlook construction-specific variables like weather delays or custom job variations. Our custom AI at AIQ Labs ingests your unique data—project timelines, site logs, supplier histories—and applies machine learning for 95% accuracy. We've seen manufacturing clients reduce excess stock by 35% where ERPs fell short at 70% precision. It's built for your workflow, not a generic add-on, ensuring predictions align with real operational rhythms. Setup takes 4-6 weeks, with immediate integration to existing systems.
What data do you need to build the forecasting model?
We start with your historical inventory records, sales or project completion data, and supplier performance metrics from the past 12-24 months. For construction, this includes bill of materials from past jobs; for manufacturing, production run logs. No need for clean data upfront—we handle preprocessing. External factors like market trends or regional weather patterns are layered in via APIs. This comprehensive input creates models that predict with precision, avoiding the pitfalls of incomplete datasets that plague off-the-shelf tools.
Can this integrate with our existing construction management software?
Absolutely. We specialize in deep integrations with platforms like Procore, PlanGrid, or Viewpoint for construction, and SAP or Oracle for manufacturing. Our two-way API connections pull real-time data, like updated quantities from job sites, and push forecasts back into your system for automated actions. Unlike superficial links that break, ours are production-ready, handling high volumes without downtime. Clients report seamless syncing that cuts manual entry by 80%, letting teams focus on execution rather than data chasing.
How long until we see results from the AI forecasting system?
Most clients notice improvements within the first month post-deployment, with full ROI in 60-90 days. For instance, a mid-sized builder we worked with optimized steel inventory, avoiding $50K in overstock during their busy season just three months in. We prioritize quick wins like automated alerts while refining the model iteratively. Your timeline depends on data volume, but our agile approach ensures rapid value—forecast accuracy jumps from day one, scaling as we incorporate more operational feedback.
Is the solution scalable for growing operations?
Yes, designed for expansion. Starting with 5-10 warehouses or sites, it scales effortlessly to dozens as your business grows, handling increased data loads via cloud architecture. We've supported manufacturers doubling production without rework, and construction firms adding regional offices with zero reconfiguration. Ownership means you control upgrades—no vendor lock-in. Benchmarks show our systems maintain 99% uptime under 10x volume spikes, keeping forecasts reliable amid growth pains like new vendor onboarding or expanded product lines.
What about data security and compliance in manufacturing?
Security is paramount. We use enterprise-grade encryption (AES-256) for all data in transit and at rest, compliant with standards like ISO 27001 and GDPR. For manufacturing, we adhere to NIST frameworks, ensuring sensitive details like proprietary formulas or supplier contracts stay protected. Access controls limit visibility to authorized users, with full audit logs for traceability. Unlike subscription tools with shared infrastructure risks, your custom system is isolated and owned by you, minimizing breach exposure while enabling secure sharing across teams.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.