
The Shopify Local Delivery Tools You Actually Need
Most Shopify stores need five local delivery tools: zones and rates, a date and time slot picker with limits…
Insights
The biggest last-mile delivery challenges are bad addresses, failed first attempts, high cost per drop, delays, poor visibility, rising expectations and emissions. Each has a practical fix, from map pins at checkout to route optimization.

The biggest last-mile delivery challenges are inaccurate addresses, failed first attempts, high cost per drop, delays, poor visibility, rising customer expectations and environmental impact. The last mile, the final leg from your store or hub to the customer's door, is where all of them meet: every stop is a separate address, a separate time window and a separate chance for something to go wrong.
The good news is that each challenge has a practical fix, and most of them start with data you already have. Below, for each one: why it happens, what it costs, and how to overcome it.
Last-mile delivery is the final step of fulfillment: getting an order from the place it was packed to the person who bought it. For parcel carriers it's one leg of a long journey. For a local merchant with its own drivers, it's usually the whole delivery: booking a slot, planning routes, driving, handing over the order and proving it arrived.
That's why the last mile shapes how customers feel about the whole purchase, and why small inefficiencies here show up as higher costs, missed windows and lost repeat orders.
Why it happens: typos, missing apartment or gate numbers, new developments that map apps don't know yet, and addresses that are technically valid but point to the wrong entrance.
What it costs: a failed or late delivery, a second trip and a support conversation. 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
How to overcome it:
In ScrollEngine, map-pin capture at checkout, a pin-drop link and automatic geocoding (on your own Google Maps Platform key) are live, and address-mismatch flags Early access warn you when a pin is far from the typed address.
Why it happens: nobody is home, the building is locked, or the driver arrives outside the time the customer expected.
What it costs: a second trip at your expense, and often the customer. 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)
How to overcome it:
ScrollEngine's date and slot calendar handles cutoffs, prep time, blackout dates and per-location time zones, and the driver app records photo, signature and notes as proof of delivery.
Why it happens: each stop is a single order at a single address. Backtracking, idle time, half-empty vehicles and short trips all land on that one order.
What it costs: margin. According to AlixPartners' 2026 Home Delivery Survey, 64% of retail supply-chain executives say home delivery is not as profitable as in-store sales. AlixPartners, 2026 Home Delivery Survey (Jun 2026)
How to overcome it:
ScrollEngine plans optimized routes for multiple drivers with capacity, time windows, shifts and breaks, and batching nearby orders into one trip Early access helps cut trips further. For the full cost-and-speed playbook, read Shopify route optimization: cut fuel and speed deliveries.
Why it happens: traffic, road closures, late loading, overbooked slots and plans that assumed a perfect day.
What it costs: trust, quickly. According to AlixPartners' 2026 Home Delivery Survey, nearly 90% of shoppers say a late delivery weakens or ends their relationship with the retailer, even after an apology. AlixPartners, 2026 Home Delivery Survey (via Mondaq) (Jun 2026)
How to overcome it:
In ScrollEngine, routes stay editable after they start and ETAs are recalculated, and at-risk alerts flag a delivery that is getting close to its deadline. When several routes need rebalancing at once, see our bulk route editing tips.
Why it happens: once a van leaves, many operations lose sight of it, and customers are left guessing.
What it costs: support time. DigitalGenius customer data from 2023 shows that around one in five e-commerce support queries asks "Where is my order?", rising to up to 40% at peak (vendor data). DigitalGenius, What is a normal WISMO rate (Mar 2023), vendor data
How to overcome it:
ScrollEngine's live driver map runs in the standalone web dashboard, and customers get a branded tracking page plus email, SMS and WhatsApp updates. Read why arrival visibility matters in last-mile delivery.
Why it happens: shoppers compare every delivery with the fastest, clearest one they've ever had.
What it costs: repeat purchases. According to AlixPartners' 2026 Home Delivery Survey, more than 85% of consumers say a poor delivery experience reduces their willingness to buy again. AlixPartners, 2026 Home Delivery Survey (via Mondaq) (Jun 2026)
How to overcome it:
ScrollEngine offers delivery and pickup slots with daily and per-slot capacity, a pickup workflow with ready-for-pickup notifications, and delivery rescheduling on admin and draft orders.
Why it happens: empty miles, idling, and many small trips in dense areas.
What it costs: fuel, emissions and money. Cutting the number of trips is one of the biggest levers, and pickup is one way to do it. World Economic Forum modelling suggests pickup-point networks can reduce delivery trips by 15% and congestion by 2% (2024, modelled scenario). World Economic Forum with Accenture, Transforming Urban Logistics (2024), modelled scenario
How to overcome it:
In ScrollEngine, optimized routes and booked delivery windows cut empty miles and repeat trips, store pickup removes a delivery trip for customers who are nearby anyway, and the vehicle and fleet registry in the standalone web dashboard records each vehicle you run, including electric ones, with its payload.
| Challenge | Typical cause | First fix |
|---|---|---|
| Inaccurate addresses | Typed addresses, no map pin | Map pin at checkout and a pin-drop link |
| Failed first attempts | Nobody home, wrong time | Booked delivery windows and arrival updates |
| High cost per drop | Backtracking, empty space, short trips | Route optimization across all drivers |
| Delays | Traffic, overbooked slots, rigid plans | Realistic cutoffs, slot caps, live route edits |
| Poor visibility | No live view of drivers | Live driver map and a customer tracking page |
| Rising expectations | Comparison with the fastest delivery | Clear promises at checkout, pickup as an option |
| Environmental impact | Empty miles, many small trips | Fewer miles, grouped orders, right-sized vehicles |
You don't have to fix everything at once. In order of effort:
For what changes inside the team once routes are optimized, read how route optimization transforms delivery operations, and for what comes next, route optimization and AI: where delivery is heading.
The last mile doesn't have to be the hardest mile. Exact locations, delivery windows you can keep, optimized routes and live tracking turn it from a cost you put up with into a reason customers come back.
ScrollEngine's local delivery app for Shopify brings those pieces together: delivery and pickup slots at checkout, route optimization for your drivers, a driver app with proof of delivery, and live tracking for your customers. Install Local Delivery + Pickup Date:S from the Shopify App Store to start.
FAQ
Last-mile delivery is the final leg of an order's journey, from your store, warehouse or hub to the customer's door. For a local merchant with its own drivers, it is usually the whole delivery: planning routes, driving, handing over the order and confirming it arrived.
Every stop is a separate address with its own time window. Drivers spend paid time driving between stops, looking for addresses, waiting at doors and coming back for failed attempts, and each of those costs falls on a single order instead of a full truckload.
Wrong or vague addresses, nobody home to receive the order, no access to the building, and arrivals outside the window the customer expected. Exact map locations, booked delivery windows and updates before arrival help prevent them.
Start with the cheapest fixes: capture exact locations at checkout, let customers book delivery windows you can keep, and send updates before the driver arrives. Then optimize routes across your drivers and track failed attempts, on-time rate and miles per stop.
It orders stops and splits them across drivers so routes take less driving while keeping each delivery window, shift and vehicle limit. That cuts fuel, gets orders out sooner and makes arrival times more dependable.
Book a demo and we'll walk you through the platform set up like your stores, or request a quote for your locations and how you deliver.
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