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Local Delivery: How Analytics Power Better Decisions

Delivery analytics turn last week's orders, shipments, routes and drivers into decisions: where to add a driver, which slots to cap, when to open more pickup. ScrollEngine shows them over the last day, week or month, and exports them.

By ScrollEngine content leadUpdated 6 min read

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Analytics power better local delivery decisions by showing what actually happened: how many orders became shipments, where shipments stalled, how many routes were delayed or left incomplete, and how customers chose between delivery and pickup. Read once a week, those few numbers tell you when to add a driver, change a slot limit or open more pickup. Below are the metrics that matter, where to find each one in ScrollEngine, and the decision each should trigger.

Two staff in a clothing boutique, one packing an order into a paper bag while the other writes notes next to a laptop

Why delivery data beats gut feel

Local delivery rarely fails all at once. A backlog builds over a few days, one route runs late every Thursday, pickup orders sit uncollected. By the time customers complain, the pattern is weeks old, and customers don't give many second chances: According to AlixPartners' 2026 Home Delivery Survey, 52% of shoppers will stop buying from a retailer after just one or two missed deliveries. AlixPartners, 2026 Home Delivery Survey (Jun 2026)

ScrollEngine's app, Local Delivery + Pickup Date:S, gives Shopify merchants one dashboard for the whole delivery operation, so you can spot those patterns while they're still small.

The 7 local delivery metrics worth tracking

MetricWhat it measuresWhere to find it in ScrollEngineDecision it drives
Orders vs shipmentsOrders placed against shipments createdAnalytics dashboardAdd prep staff or a driver shift when shipments lag
Shipment status over timeHow shipments move from created to deliveredAnalytics dashboardFind the stage where orders wait
Route statusRoutes by status: scheduled, live, delayed, incomplete, completed and moreAnalytics dashboardSpot periods when routes run late or don't finish
Delivery vs pickup mixOrders by fulfillment methodAnalytics dashboardAdjust pickup hours, slot limits and driver shifts
On-time rate per driverDeliveries completed inside the promised windowDriver scorecards (web dashboard)Rebalance routes, review zones, coach
Utilization and distanceDeliveries, distance and time on the road per driverDriver scorecards (web dashboard)Right-size the fleet
Customer ratingsRatings customers leave after deliveryDriver scorecards (web dashboard)Follow up on low ratings

The analytics dashboard shows its views over the last 24 hours, 7 days or 30 days. Here's how to read each one.

A closer look at the analytics dashboard

1. Orders vs shipments

This chart puts the orders you received next to the shipments you created. The two lines rarely match exactly, because not every order becomes a local shipment on the day it arrives (shipping orders, for example), so watch the gap rather than the totals. When the gap stays steady, fulfillment keeps pace. When orders climb and the gap widens, a backlog is forming in picking, packing or dispatch.

What to do: if the gap opens on the same weekdays, add prep staff or a driver shift on those days, or lower that day's slot limits until you can. Before a holiday rush, check the 30-day view to see how your busiest days compared.

Order vs Shipment chart from the ScrollEngine analytics dashboard, comparing the last 30 days of orders and shipments

2. Shipment status overview

This view counts your shipments by status (new, picked up, out for delivery, delivered, rescheduled and more) for the period you choose. In a healthy operation most shipments sit in delivered; a growing share in any earlier status is your bottleneck.

What to do: if shipments pile up before they go out, look at prep time and cutoffs. If they pile up out for delivery, routes are too long or start too late. If rescheduled shipments are rising, check addresses and delivery windows.

3. Route overview

Route counts by status show how many routes were scheduled, live, delayed, incomplete or completed across the period you choose, next to shipment counts by status.

What to do: if the delayed or incomplete share grows, make routes shorter or add a driver, and let route optimization plan around shifts and breaks. If routes are created late, move the order cutoff earlier. For the day itself, the live driver map and at-risk alerts in the ScrollEngine web dashboard show trouble while it's happening, so dispatchers can reroute a delayed driver.

Shipment Overview and Route Overview charts from the ScrollEngine analytics dashboard, with counts by status

4. Orders by fulfillment method

This chart shows how customers choose between local delivery and store pickup.

What to do: if pickup's share grows, extend pickup hours or add pickup slots. If delivery's share grows, add a driver shift and revisit slot limits. If pickup stays near zero, check that pickup is easy to find in your cart widget.

Orders by Fulfillment Method chart from the ScrollEngine analytics dashboard, comparing store pickup and local delivery

Driver scorecards: performance per driver

Driver scorecards, in the ScrollEngine web dashboard (not inside Shopify admin), give every driver a row: deliveries, distance driven, time on the road, utilization, ratings and on-time rate, with fleet averages and a one-click export. Daily attendance and an activity log sit alongside, with a drill-down for each driver.

What to do: compare each driver with the fleet average before drawing conclusions. A low on-time rate often traces back to an overloaded route or a hard zone, not to the driver, so check route length and stop count first.

First-attempt success: the costly metric

Failed deliveries cost twice: the wasted trip and the second attempt. Loqate's 2020 survey found that 8% of domestic first-time deliveries fail, costing retailers an average of $17.20 per order. Loqate (GBG), Fixing Failed Deliveries 2021 (Dec 2020), 2020 fieldwork Watch for shipments that end up rescheduled, and use proof of delivery (photo, signature and notes) to see what happened at the door. A pin-drop link that lets customers confirm their exact location helps when addresses are vague.

Reports for finance and the wider team

When a chart isn't enough, the report engine exports orders, shipments, routes and driver data to CSV, with a column picker, saved presets and email delivery. Finance gets its numbers without anyone building a spreadsheet by hand.

Early access: dispatch analytics

For stores using automated dispatch Early access, two more views help: dispatch performance Early access, which shows how many orders drivers accepted and how long acceptance took, and vehicle shortage by time of day Early access, which counts the dispatch rounds that found no driver in range, by time and vehicle type. Both count what already happened, which makes them useful for planning shifts.

A 30-minute weekly delivery review

  1. Orders vs shipments, last 7 days: did a gap open, and on which days?
  2. Shipment status: where are shipments waiting?
  3. Route status: how many routes were delayed or left incomplete?
  4. Delivery vs pickup mix: has it shifted since last week?
  5. Driver scorecards: on-time rate and utilization against the fleet average.
  6. Reports: export the week for finance.
  7. One change: pick a single adjustment for next week (a slot limit, a shift, a zone or a cutoff), write it down and check it next week.

From data to decisions: quick examples

If you seeTry
Shipments lag orders every SaturdayAdd a Saturday driver shift, or lower Saturday's slot limits
Pickup's share keeps risingExtend pickup hours or add pickup slots
One zone's deliveries finish lateNarrow the zone or move it to a closer location
One driver's on-time rate trails the fleet averageCheck that driver's route length and stop count first
More shipments rescheduledReview cutoffs, prep time and address quality

Numbers like these are what let a store grow without losing control. For the operational side of growth, see our local delivery scale strategies. After your busiest weekend of the year, the same review shows what to change; our BFCM delivery playbook ends with it. To see how routes and live tracking feed these numbers, explore routes and dispatch and tracking and updates.

Final thoughts

Delivery data changes how you run your store: fewer surprises day to day, and clearer calls on drivers, slots and pickup as you grow. ScrollEngine keeps the numbers in the same place your team plans routes and serves customers.

Ready to run local delivery on numbers instead of guesswork? 👉 Try Local Delivery + Pickup Date:S on the Shopify App Store today.

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