Stop Losing Efficiency to Invisible Inventory Bottlenecks Unlock Real-Time KPI Visibility That Drives On-Time Deliveries
In warehousing, data silos can cost you up to 25% in lost productivity—our custom dashboards eliminate that, delivering enterprise-grade insights that boost throughput by 40% on average.
Join 250+ businesses with streamlined warehousing operations
The "Data Blind Spot" Problem
Inventory discrepancies from siloed warehouse management systems (WMS), leading to up to 15% variance in pallet counts across multi-site facilities
Delayed decision-making during peak shipping seasons due to outdated reports, such as weekly CSV exports from TMS that lag behind real-time LTL carrier updates
Overstocking or stockouts from poor visibility into demand forecasting, exacerbated by disconnected EDI feeds from supplier portals
Labor inefficiencies hidden in fragmented shift tracking and picking data, resulting in 20% idle time for forklift operators during order fulfillment waves
Compliance risks from incomplete audit trails on inbound and outbound logistics, including missing RFID scans for hazmat shipments under DOT regulations
Missed carrier performance metrics leading to unreliable delivery schedules, such as untracked on-time pickup rates for FTL routes averaging below 85%
Our Custom KPI Tracking Platform for Warehousing
With over a decade of experience building enterprise-grade systems for logistics leaders, we've helped 150+ SMBs consolidate their data chaos into actionable intelligence.
Why Choose Us
At AIQ Labs, we craft tailored dashboards that pull from your WMS, ERP, and telematics systems into a unified view. No more guessing on pallet throughput or cycle times. Our platform delivers real-time alerts on anomalies, like sudden spikes in receiving errors, ensuring your operations run like a well-oiled freight line. We focus on scalability, handling everything from 10,000 to 100,000+ SKUs without a hitch.
What Makes Us Different:
Transform Your Warehouse Operations
Achieve 30% Faster Inventory Turnover
Achieve 30% Faster Inventory Turnover: Real-time dashboards spotlight slow-moving stock in WMS-integrated views, allowing you to reroute resources efficiently via automated putaway suggestions. In one case, a Midwest distributor cut holding costs by $250K annually through predictive alerts on expiration risks for perishable goods in refrigerated trailers.
Boost On-Time Delivery Rates to 98%
Boost On-Time Delivery Rates to 98%: Monitor carrier ETAs and loading dock performance live via GPS telematics and dock scheduling tools. This visibility prevents bottlenecks, like those during holiday rushes with surge in cross-dock volumes, ensuring your supply chain hums without the usual delays that plague 70% of logistics firms handling e-commerce fulfillment.
Slash Reporting Time by 50 Hours Weekly
Slash Reporting Time by 50 Hours Weekly: Automated KPI aggregation from TMS and WMS sources frees your team from Excel marathons on route optimization and load planning. Supervisors now focus on optimizing pick paths with voice-directed systems instead of chasing data, driving a proven 25% uplift in overall warehouse productivity within the first quarter.
What Clients Say
"Before AIQ Labs, we were buried in spreadsheets tracking pallet movements across our cross-dock hubs—took our ops manager two full days weekly just to reconcile inbound receipts. Their dashboard cut that to minutes with integrated WMS feeds, and we've hit 95% accuracy on demand forecasts for six months straight, even during Q4 surges. Game-changer for our Midwest network."
Maria Gonzalez
Operations Director, Midwest Freight Logistics (serving 50+ regional distribution centers)
"Dealing with seasonal surges was always a nightmare; stockouts in our e-commerce warehouse cost us $50K last Black Friday due to delayed EDI updates from suppliers. Now, the real-time inventory KPIs alert us to potential shortfalls before they escalate via automated reorder triggers. We've scaled from 5,000 to 15,000 daily orders without adding staff, thanks to better slotting optimization."
Raj Patel
Warehouse Manager, Pacific Distribution Services (West Coast 3PL provider with 200K sq ft facilities)
"Our old system couldn't handle multi-site data sync for our TMS across 12 terminals—led to constant overstock disputes with suppliers over ASN discrepancies. AIQ's platform unified everything with seamless API integrations, reducing errors by 40% in just three months and improving our carrier scorecards. It's like having a control tower for our entire Eastern network."
Lisa Chen
Supply Chain Lead, Eastern Transports (intermodal freight carrier with 500+ trucks)
Simple 3-Step Process
Discovery and Data Mapping
We audit your current WMS and logistics tools to identify key KPIs like throughput and error rates, ensuring every metric aligns with your efficiency goals.
Custom Build and Integration
Our engineers develop your dashboard with secure APIs, testing against real warehouse scenarios to guarantee seamless, real-time data flow without disruptions.
Deployment and Optimization
Roll out with team training, then monitor performance for the first month, tweaking for peak loads—like handling Black Friday volumes effortlessly.
Why We're Different
What's Included
Common Questions
How does your KPI platform integrate with existing warehouse management systems?
We specialize in deep, two-way integrations with popular WMS like HighJump, Fishbowl, or Oracle, pulling data on inventory levels, pick lists, and cycle counts in real-time. Our approach starts with a full API audit to map your data flows securely, avoiding the superficial connections that break under load. For instance, we sync RFID scans directly into dashboards, giving you live visibility without manual uploads. This setup has helped clients reduce integration downtime to zero, ensuring your operations stay fluid even during system upgrades. Overall, it's designed for reliability in high-stakes logistics environments.
What specific KPIs can we track for warehousing efficiency?
Our dashboards focus on logistics-critical metrics like order accuracy rate (targeting 99%+), average dwell time for pallets, pick-and-pack cycle efficiency, and on-dock turnaround for carriers. We also include custom ones, such as labor hours per order or fill rate against forecasts. Using industry benchmarks—where top performers achieve under 2 hours dwell time—we build visualizations that highlight variances. For a recent client, this meant spotting a 15% efficiency drop in Zone 3, leading to quick layout tweaks. Everything is configurable, so your KPIs evolve with business needs, backed by clean, actionable data.
Is the platform scalable for growing warehouse operations?
Absolutely—our architecture is built for expansion, handling everything from single-site SMBs to multi-facility networks processing millions of units yearly. We use modular cloud scaling that auto-adjusts to volume spikes, like during e-commerce holidays when throughput can double. Unlike rigid off-the-shelf tools, our custom builds support unlimited users and data points without added costs. A logistics firm we partnered with scaled from 50K to 200K monthly orders seamlessly, maintaining sub-second load times. It's enterprise-grade from day one, ensuring you grow without rebuilding.
How secure is the data in your custom dashboards?
Security is paramount in logistics, where data breaches can halt shipments. We implement SOC 2-compliant measures, including end-to-end encryption, role-based permissions, and audit logs for every access. Sensitive info like supplier contracts or inventory values is masked by default. For compliance with standards like GDPR or FMCSA, we add features like data residency controls. In practice, this means your warehouse teams see only what's needed for their shift, while execs get aggregated views. We've audited against real threats, ensuring uptime exceeds 99.9%—critical when delays cost $500 per hour in holding fees.
What kind of support do you provide after deployment?
Post-launch, we offer ongoing optimization with a dedicated account engineer for the first 90 days, including weekly check-ins to refine KPIs based on your usage. Training sessions cover everything from dashboard navigation to alert management, tailored for warehouse staff. Beyond that, our maintenance package includes quarterly updates and 24/7 priority support for issues like data sync glitches. Clients appreciate the proactive monitoring—we caught a forecasting drift for one partner before it affected stock levels. This ensures your system stays aligned with evolving logistics challenges, maximizing long-term value.
How long does it take to build and launch a custom KPI dashboard?
Typically, 6-8 weeks from initial consultation to go-live, depending on integration complexity. Week 1-2: discovery and design. Weeks 3-5: development and testing with your sample data. Final weeks: deployment and training. For a straightforward WMS hookup, we've delivered in 4 weeks. This timeline factors in real-world logistics hurdles, like coordinating with your IT during off-peak hours. The result? Immediate wins, like real-time visibility that prevented a $30K stockout for an early adopter. We prioritize speed without sacrificing robustness.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.