Intelligence & Analytics
Klau continuously analyzes your operation and surfaces insights you would miss. From capacity planning to revenue optimization, the Intelligence dashboard turns your dispatch data into actionable decisions.
How It Works
Klau runs analytics across your dispatch history, fleet utilization, container positions, and customer behavior.
Always Current: Analytics refresh from live data. No manual report generation.
Actionable Insights: Every metric points to a decision — move demand to a lighter day, pick up an overdue container, adjust pricing.
Timezone-Aware: All dates and times reflect your company's timezone, not UTC.
Click-Through: Summary cards link to detailed analytics. Start high-level, drill down when needed.
Fleet Briefing
One-page daily summary of your entire operation. Open it every morning before dispatch.
Today's Capacity
Utilization percentage, status badge (Open / Limited / Tight / Full), drivers online, jobs assigned, hours remaining.
Revenue This Week
Revenue per truck-hour trend, weekly performance.
Container Health
Overdue containers, average dwell time, action needed indicator.
Demand Shaping ROI
Net savings this week from date-based pricing, orders shaped.
Coaching Score
Latest operational quality score (0-100) with letter grade.
Plan Quality
Today's dispatch plan score with quality grade.
AI-Generated Narrative
A plain-English summary of the day's highlights and concerns, written fresh every morning. The narrative reads like a briefing from a colleague who already reviewed everything — so you do not have to.
Tip
The Fleet Briefing is your 30-second standup. Scan the cards, read the narrative, then head to the dispatch board. If something needs attention, the card links directly to the detail page.
Capacity Heatmap
A 7-day forward-looking view of your fleet's capacity. See at a glance which days are wide open and which are approaching full.
Each Day Shows
Plenty of available capacity. Ideal for new orders.
Filling up. Still room, but worth monitoring.
Nearly full. Consider moving orders to lighter days.
No remaining capacity. New orders should be scheduled elsewhere.
Each day also shows the utilization percentage, available drivers, total jobs, and hours of capacity remaining.
Summary Stats
Average utilization across the 7-day window
Combined jobs across all 7 days
Total driver availability for the week
The day with the highest utilization
Use case: Spot overbooked days before they cause problems. Move orders to lighter days using demand shaping.
Revenue Per Truck-Hour
The hero metric showing how much revenue each hour of truck time generates. This is the single best indicator of operational efficiency.
What You See
Revenue Per Truck-Hour
The headline ratio — total revenue divided by total truck hours for the selected period.
Trend Indicator
Whether the metric is improving, stable, or declining compared to the previous period.
Total Revenue & Truck Hours
The raw numbers behind the ratio, so you can see what is driving changes.
Revenue Gap
If optimized routing could earn more, the gap shows how much potential revenue is being left on the table.
Use case: Track whether your operation is getting more efficient over time. If revenue per truck-hour is declining, routes may need optimization or pricing may need adjustment.
Container Dwell Time
Tracks how long containers sit at customer sites. Overdue containers tie up your fleet and create billing disputes. This view keeps you ahead of both.
Key Metrics
Total containers currently deployed at customer sites
Containers past their expected return date
Average dwell time across your container fleet
Detail Table
Below the summary metrics, a table lists the longest-dwelling containers by customer, address, container size, and days on-site. A separate customer breakdown shows which customers have the most containers and which are overdue.
Use case: Identify stuck containers before rental overage becomes a billing dispute. Prioritize pickups for the longest-dwelling units.
Demand Shaping Analytics
Measures the effectiveness of date-based pricing on your storefront. If you are offering discounts for lighter days, this page tells you whether it is working.
Key Metrics
Net ROI
Savings from improved route efficiency minus the discounts offered. The bottom line on whether demand shaping is paying off.
Orders Shaped
How many customers chose a discounted date instead of the default.
Discount Acceptance Rate
Percentage of customers who selected a discounted date when one was available.
Tier Breakdown
Distribution of orders across pricing tiers, showing which discount levels are most effective.
Use case: Understand if offering date-based discounts is actually saving you money. The ROI calculation accounts for both the discount cost and the operational savings.
Using Analytics Day-to-Day
Here is a practical workflow for getting the most out of your analytics, from daily check-ins to monthly reviews.
- Start your day with the Fleet Briefing — scan the cards for red flags and read the AI narrative for context.
- Check the Capacity Heatmap — is any day this week overbooked?
- If overbooked, use demand shaping to steer orders to lighter days via your storefront pricing.
- Monitor Container Dwell — pick up overdue containers before customers complain.
- Review Revenue Per Truck-Hour weekly — are you getting more efficient?
- Check Demand Shaping Analytics monthly — is date-based pricing working?
What's Next?
Now that you understand the Intelligence dashboard, explore the features that feed into it and the workflows it supports.
Dispatcher Guide
Learn the dispatch board that generates the data your analytics depend on.
Coaching Scorecard
Understand how Klau scores your daily operations and tracks driver performance.
Storefront Operations
See how date-based pricing on your storefront drives the demand shaping analytics.
Optimization
Learn how Klau builds efficient routes that improve your revenue per truck-hour.
Your Data Tells a Story
The more you dispatch, the smarter the analytics get. Historical patterns improve capacity forecasts, dwell predictions, and demand shaping accuracy.