When the food is getting cold, support is logistics.
Live order care, courier and merchant support, incident resolution and trust & safety — staffed by Philippine specialists who fix a late, missing or stranded order in minutes, across all three sides of the marketplace, before it becomes a refund and a deleted app.
BPO Partners
Resolved / Year
Delivery Hubs
A delivery issue has a shelf life measured in minutes, not days. Resolve the late order while the courier is still nearby and you keep three customers — the diner, the rider and the restaurant. Miss the window and you refund the meal, lose the rider’s pay and earn a one-star review on all three sides.
Your order mix and your rush decide which side strains first.
Every marketplace has its own peak rhythm — the daily dinner rush, not the annual one. For annual peak elasticity see retail and e-commerce; this page is the daily 9pm rush. These are the four delivery profiles we build for most often.
Three-sided live ops through every dinner and weekend peak, with the diner kept, the rider paid, and the restaurant informed on one resolution.
Real-time substitution and inventory support, order-accuracy operations, and rapid-delivery coordination at q-commerce speed.
Courier onboarding, dispatch coordination, route-exception resolution, and the fair-pay-on-failure protocol that lifted rider retention 12 points.
Menu onboarding, listing accuracy, inventory sync, and merchant-side incident support before the diner is charged.
One order goes wrong at peak — who gets hurt, and how fast can you fix it?
Every live incident touches all three sides of the marketplace at once. Select an incident to see who it hits — diner, courier, merchant — the resolution play, the clock you are racing, and what it costs if you miss the window.
Three-sided live ops is a support model where one trained team resolves a single delivery incident across the diner, the courier and the merchant simultaneously — measured by time-to-resolution and orders saved, not tickets closed.
“Delivery support is the only customer service I know where the asset is melting while you type. The teams that win treat every contact as a dispatch problem with a stopwatch — and they keep all three sides of the order whole, not just the one who called.”
A ticket queue vs. a live dispatch desk.
The delta between a generic ticket team and a PITON-Global-vetted live-ops desk — across seven dimensions that decide whether the order is saved or refunded.
Four ways a marketplace bleeds — each on a different side, each on a clock.
A delivery platform’s risk isn’t one surface; it’s four, and each lands on a different side of the three-sided event. A ticket queue absorbs the contacts these risks generate; a live-ops desk contains each one while the clock is still running.
The through-line: the fourth row is why the first three matter — every risk gets worse at peak, and a desk that collapses at 9pm loses all three sides in the same hour. The Rush Board above shows the incident; this matrix shows the four ways it was generated.
Where does the 6.7× return come from when you save the order instead of refunding it?
From four streams a ticket count never shows: refunds avoided, riders and merchants retained, fraud stopped and re-orders kept. A saved order is two dollars of make-good you did not spend and a customer who opens the app again tomorrow.
One side, one metric — a courier-support-only deployment, measured.
FD-048 proves the three-sided desk. This is the floor — and it proves it on the side most platforms fix last: a courier-support-only engagement, diner and merchant support left with the client’s existing operation.
Here is the cost per seat. Now here is what the refund-by-default desk actually costs.
Every RFP compares cost-per-contact, so we publish the seat math. Then we switch the denominator — because a ticket closed with an auto-refund isn’t a resolution, it’s a margin event, and the cheapest desk is the one that saves the order instead.
The seat lens prices the agent; the saved order prices the outcome. The ticket-queue desk is cheap per contact and expensive per event: it refunds by default (a margin hit), leaves the rider unpaid (a supply hit), and replies in hours (a churn hit) — three costs on one incident, none of them on the invoice. Switch the denominator and the four streams a ticket count omits — refunds avoided ($1.4M–$2.8M), courier & merchant retention ($0.9M–$1.8M), fraud prevented ($0.7M–$1.4M), and re-orders kept ($1.1M–$2.2M) — stack to a $4.1M–$8.2M annual net benefit.
That is how FD-048’s $960K desk returned $6.4M (6.7×) by cutting auto-refunds 34% and lifting rider retention 12 points. A saved order is two dollars of make-good you didn’t spend and a customer who opens the app again tomorrow. The cheapest contact is the one that ends with the order delivered.
Indicative 2026 rates — the live-ops dispatcher shown apart from the ticket agent.
Async support has a generic market; the live-ops dispatcher — hired for real-time aptitude, drilled on the 9pm simulation, working a dispatch stack against a stopwatch — does not. A quote at the ticket-agent band for live-incident work is the batch-vs-live gap with a price on it: you’ll get replies in hours for orders that die in minutes.
The live-ops dispatcher has no generic equivalent because closing a three-sided event in one motion — in minutes, at 9pm, on a live dispatch stack — is a real-time aptitude that a ticket queue neither hires nor trains for. A quote at the ticket band for live work is the tell. Rates confirmed per engagement against order volume and peak profile.
Price my desk against the 9pm-simulation standard →A three-sided dispatch desk, live, in 7 weeks — drilled at peak before it carries one.
A gated stand-up built around your dinner rush. No team takes live volume until it clears a 9pm-peak simulation against your real incident mix.
What does a great live-ops partner do at 9pm on a Friday that a cheap one simply can’t?
Three capabilities separate a desk that saves your dinner rush from one that drowns in it — and each is demonstrable before you sign. Ask any prospective partner to show you these three things working live, not on a slide.
“The tell is simple: ask a prospective partner to resolve one live incident in front of you at peak. The good ones keep the diner, the rider and the restaurant whole in a few minutes; the rest issue a refund and call it service. That single demo decides the contract.”
Where live ops doesn’t fit — and whose money the make-good is.
A shortlist that includes “no” is the only kind worth having. Three engagements we turn down — and why the refusal is the point.
Our dispatchers recover the order first and compensate second, inside the goodwill thresholds you set. A desk with unlimited make-good authority isn’t saving your margin — it’s spending it faster with better manners. The resolution plays, the credit ceilings, and the escalation rules are yours; the stopwatch discipline is ours.
The live-ops model only pays off when it’s measured in minutes — TTR, orders saved, sides kept whole. If your incident mix genuinely tolerates multi-hour replies, you don’t need a dispatch desk, and we’ll say so rather than sell you a stopwatch you won’t use. Our value is the order saved while the courier is still in range; if there’s no clock, there’s no case for us.
Three-sided resolution requires being inside your dispatch and comms stack (Bringg, Onfleet, Salesforce, Twilio) under Zero-Trust VDI — courier location, order state, and merchant status on one screen, with PII and location data at zero local residency. Without that access, we’d be reconstructing a live event from an email thread, which is the exact batch failure this page audits against.
The food is getting cold while the wrong desk types. Live ops is logistics.
Tell us where the marketplace strains — live incidents, courier & merchant support — and we’ll hand you 6–10 vetted live-ops operations, each proven on a 9pm-peak simulation before reaching your shortlist.
Get my live-ops shortlist →Our 24-Hour Response Guarantee — a reply within 24 hours, 9pm-peak-simulation pre-screen included.
The order-resolution standard: the economics of food delivery & q-commerce support outsourcing.
Why contacts handled is a volume vanity metric, how live-order resolution and three-sided fairness across customer, rider and merchant — never contact throughput — decide the true cost of a delivery-support operation once wrong refunds, stranded riders, merchant disputes and repeat contacts are counted, and the vendor-selection discipline that saves the live order without giving away the margin. Volume 82 of PITON-Global’s Executive White Paper Series, by John Maczynski and Ralf Ellspermann.
What food-delivery leaders ask before they outsource.
In-depth answers to the questions that decide a food-delivery BPO engagement — from the principals who run them.