By the third vendor demo, you can run the script yourself. The sales engineer shares his screen, an on-time rate glows green in the corner, a map fills up with pins, and somewhere around minute 40 somebody says the word granular. You nod politely. You’ve learned nothing.
The dashboards really are pretty. They’re also interchangeable, because charts were never where last-mile delivery analytics platforms differ. The real differences live in what a platform can see, what it counts as the cost of a delivery, and what it’s willing to do about an order going sideways right now, while the meeting’s still on.
So stop watching demos and start conducting them. Walk in with five demands, make each one land on screen with live orders, and the interchangeable dashboards separate fast: what it sees, what it says a delivery costs, what it does mid-failure, whether its scorecards steer anything, and whose name is on everything when it ships.
Coverage of Every Order, Down to the Saturday Store Runs
Software reports on what passes through it, and it does so with total confidence. A dispatch tool wired into two of your five delivery providers will hand you a complete-looking report on 40% of your operation, and nothing in the layout will hint at the other 60.
The orders your own people run are the classic hole. Saturday, provider ETAs stretch past 40 minutes, and a store manager quietly pulls an associate off the floor and sends her out with six orders in her Corolla. Revenue just moved through a channel no report you own has ever heard of, and it’ll happen again next Saturday, in 60 stores.
The first demand is sight: every delivery provider, every national carrier, and your own fleet in one dataset. Last-mile runs 53% of total shipping spend now, and 84% of ecommerce businesses logged another increase this year.
Guessing at a number that size stopped being charming a while ago.
The Real Cost of a Delivery That Took Two Tries
Carrier rate is the number every platform leads with, and you can see why: it shows up clean, it’s barely moved in years, and it keeps everybody’s chart calm. It prices exactly one thing, which is moving a package once.
Up to 20% of packages miss the customer on the first attempt. The spending then starts right after the miss: a second truck roll, a refund on the orders that give up, a support contact on most of the rest, landing in a queue where WISMO already runs 20% to 40% of volume and pushes toward half at peak.
Your dispatcher gives each escalation 20 minutes, and payroll absorbs it where no order will ever see it. Demand the whole bill instead: cost per successful delivery, cut by provider, region, and store. Rankings built on carrier rate rarely survive contact with it.
Software That Fixes the Delivery It Just Flagged
Any platform can turn a row red. Plenty do exactly that and consider the job finished, while the actual save happens the old way: your dispatcher, 4:50 on a Friday, phone in one hand, reassigning the order by feel.
The version worth paying for spends the 90 seconds after detection differently. It scores the delay, picks a backup provider, moves the order, texts the customer a new window, and posts the cost variance so the recovery itself gets counted. Gartner’s 2026 supply chain trends call this the shift from systems that advise to systems that act, and it’s a fair bar.
Hold the demo to it. Ask for a live recovery in a test account, workflow rules firing while you watch. Those five minutes outweigh every slide with the word intelligent on it.
Scorecards That Decide Where the Next Order Goes
A scorecard that surfaces once a quarter, gets discussed, and goes back in the drawer is homework. Demand one that’s wired into assignment, where provider performance by region, vehicle type, hour, and failure rate quietly decides where the next order goes, no meeting required.
And weigh it the way your customers already do. Vinny Pagliuca, who runs supply chain sourcing at Macy’s, put it in one line at Home Delivery World 2026: tell a customer three days, hit three days every time, and they come back. Ulta’s VP of distribution and Ryder’s Jeff Wolpov backed him on the same panel, and roughly 60% of consumers now put a dependable promise ahead of raw speed.
So promise adherence, drift by region, and first-attempt success by provider belong on the front page of the dashboard, ahead of the averages that flatter everyone.
Your Name on the Tracking Page, Your Data in the Contract
The tracking page gets opened more times than anything your marketing team will send this year, and on a surprising number of platforms it carries somebody else’s logo. Insist on white-label output across the tracking page, the SMS updates, and the confirmation, so the customer who checks four times before dinner sees your name four times.
Then ask the question nobody volunteers an answer to: who keeps the delivery history and the customer records when this contract ends? Ask it in the room, while the deal still needs your signature, because the answer costs more to change later.
Thirty percent of retailers already run AI on supply chain visibility, headed for 41% inside a year, and delivery providers like SpeedX and Veho are building their own tools. Everyone is teaching machines to read delivery data.
Worth having an opinion on before it's decided for you.
Last-Mile Delivery Analytics Is About to Start Making the Call
By 2030, Gartner expects half of cross-functional supply chain solutions to run agents that execute decisions with no humans in the loop. An agent decides with whatever data it can see, which turns the first demand into the whole ballgame: the platform watching 40% of your volume today is the one that’ll be steering all of it.
Burq will happily take that meeting. One integration puts your own drivers, gig providers, and regional and national carriers on a single platform. Burq Analytics then reports the lot on one cost model, retries and refunds included, so cost per successful delivery is a number you pull instead of a project you run.
Pulse AI also does the heavy lifting without the dispatcher, scoring failure risk on live routes and rerouting before the customer notices. It prevents 60% to 80% of potential delivery failures, cuts WISMO volume by 40% to 60%, and writes every call back into the scorecard that steers the next order through Dispatch. Your name stays on the tracking page, and the data stays yours, in writing.
Over 14,000 businesses already run this way, across more than $500M in annual deliveries, at 99%+ success, from single-market shops to enterprise hybrid fleets.
Bring the five demands and a week of your own delivery data, and book a demo. Burq will run the meeting you’ve been trying to have.
