AI courier routing for ghost kitchens
Sequence the flight so the courier leaves on time, every storefront.
A multi-brand kitchen running three storefronts at the same Friday dinner rush has three independent ticket streams, three pack sequences, and one walk to the handoff. The courier for the earliest-completing ticket arrives at the door while the hottest ticket is still on the fryer; the marketplace records a single hold against the whole flight; the rating lands before the second bag is sealed. Braiseflux reads the kitchen flight across every active storefront — POS ticket timestamp, per-SKU prep, courier ETA from DoorDash, Uber Eats and Grubhub dispatch — and surfaces one ranked pack sequence per handoff point on the packer console, so the first-out order is sealed first and the courier leaves the door on time. The per-courier cap balances load across the courier fleet view, the per-brand envelope keeps the sushi separate from the Nashville hot, and the operator stays the dispatch authority rather than dispatcher-in-chief. The same flight pairs with the rating loop on the sibling AI review replies pillar, so a courier hold that lost a one-star is met with the same-day reply that earns the retraction. The broader four-agent bundle this loop runs inside lives at multi-brand restaurant management, and the day-one walkthrough of every agent on the line sits at how it works. The companion fleet pillar this page extends — and the cluster field note the reciprocal link closes through — is the queue on the read-score-sequence-approve front-of-funnel page at /solutions/courier-routing and the deeper operator field note at /blog/courier-routing-and-packer-prioritization.
The operator problem
What overlapping peak windows, per-brand envelopes, and per-courier load actually cost.
A courier-routing agent is not a marketing-page feature; it is the only sustainable way to staff a multi-brand handoff that crosses three storefronts, three temperature envelopes, and three concurrent courier queues from three separate marketplace apps. Below are the three pains that show up on every multi-brand kitchen's weekly rating close, in roughly this order.
Three storefronts at one dinner rush, one courier queue.
A multi-brand kitchen running sushi, shawarma, and Nashville hot chicken at the same Friday dinner rush has three independent ticket streams, three pack sequences, and one walk to the handoff. The marketplace reads the courier arrival as a single flight against a single on-time threshold — so the courier picking up the earliest-completing sushi ticket is also the courier who waits while the Nashville hot ticket is still on the fryer. The bag lands sealed (or does not), the courier leaves on time (or does not), and the marketplace records the combined hold against the kitchen even though only one storefront caused it. Across three live storefronts the hold compounds; the rating lands before the second bag is sealed.
Pack sequencing that crosses the temperature envelope.
A sushi bag, a Nashville hot bag, and a shawarma bag do not share an insulation envelope. A kitchen that packs in order-of-ticket rather than order-of-courier-ETA sends the courier with a cold item on top and a hot item underneath — the sushi reads at room temperature by the time the customer opens it, the Nashville hot has dropped ten degrees against its hold window, and the shawarma sits in the middle losing heat on both sides. The packer who reads three separate ticket queues cannot sequence across them at courier-arrival speed; the marketplace holds the kitchen against a single rating window that does not distinguish per-brand envelope.
Per-courier load imbalance on a single flight.
A flight of five bags assigned across three couriers without a per-courier cap sends one courier out carrying three bags and leaves two couriers waiting at the handoff with empty hands. The three-bag courier is late on two of the three deliveries; the two idle couriers are costing the marketplace rank on the storefronts they were assigned to. The marketplace assigns couriers per order, not per kitchen, so the load-balancing logic has to live on the kitchen side — and a packer who is also the dispatcher cannot balance five bags across three couriers at the speed the courier-arrival refresh demands.
How Braiseflux ships it
The courier-routing loop: read, score, sequence, approve.
Braisefluxruns one courier-routing loop on four steps. The agent stays the drafter of the flight read; the operator stays the dispatch authority; the marketplace stays the courier source. Together they retire the hold, the envelope cross, and the load imbalance — without ever replacing the operator's eye with an autonomous dispatcher. The day-one walkthrough on how it works covers the courier loop inside the wider agent bundle.
Read
The agent reads the kitchen flight across every active storefront.
The courier-routing agent reads three signals on every active ticket — POS ticket timestamp (when the order landed), per-SKU prep-time estimate (how long the ticket takes to close), and courier ETA from the marketplace (when the courier arrives at the handoff). Across three active storefronts at one dinner rush the agent reads the flight as one ranked queue per handoff point, not three separate per-storefront queues, so the packer sees one scored list rather than three unranked ones. The loop pairs with the packer console at /dashboard/packer in the wider fleet read.
Score
The agent scores each ticket against courier-arrival, per-courier load, and per-brand envelope.
Every active ticket is scored on three axes: projected-close-versus-courier-arrival (to catch the holds before they start), per-courier order load at the projected handoff window (to keep no one courier carrying three bags while another waits idle), and per-brand pack integrity (to separate the sushi brand from the Nashville hot brand before they share a courier run). The score updates on every courier-ETA refresh from DoorDash, Uber Eats and Grubhub dispatch; the packer reads the highest-scored pack order first.
Sequence
The agent surfaces one ranked pack sequence per handoff point — first-out on top.
For every handoff point the agent surfaces exactly one ranked pack sequence: the first-out ticket at the top, the last ticket at the bottom. The packer works one sequence rather than three; the courier who arrives first sees a sealed bag that crosses the per-brand envelope the agent already verified; the kitchen reads the same flight the marketplace reads. The packer console at /dashboard/packer carries the sequence; the courier fleet view at /dashboard/couriers carries the load dashboard.
Approve
The operator stays the dispatch authority — the agent surfaces only the sequences that pass.
Nothing ships without the operator's eye. The agent surfaces the five percent of assignments that always need a human — a courier out-of-ETA (the marketplace ETA already slipped past the projected handoff), a per-courier cap trip (the third bag would push the courier past its brand threshold), a bag-format swap the agent has not seen (a new menu SKU against an unfamiliar insulation profile). The operator either approves, reassigns, or escalates by hand; the ninety-five percent auto-surfaces on the packer console and the operator reads the queue at lineup rather than at the door.
Hold-time + envelope outcomes
The hold-time and envelope lift an operator reads on day one.
The promise of AI courier routing is not removing the operator from the handoff; it is collapsing the courier hold window and aligning the pack order with the per-brand envelope the courier-arrival refresh already reads against. Concretely, here is the lift every Braiseflux operator reads the week a courier-routing agent lands on the line, against the same cohort measured the prior quarter.
- Courier hold time drops under on-time threshold. The first-out ticket lands at the top of the packer queue, the bag is sealed before the courier arrives, and the marketplace reads the kitchen as one flight with no holds past the threshold. The cohort moves from a prior two-minute median courier hold to sub-threshold inside the first month; the storefront holds the tier the on-time percentage buys back.
- Cold-food one-stars drop with envelope profile. The packer sequence is scored against the per-brand insulation profile before the bag is sealed, so the sushi does not share a courier run with the Nashville hot. One-stars that mention cold food fall at a rate the prior cohort did not; the storefront reads the temperature drift at the morning lineup rather than at the week's review close.
- Per-courier load balances against the per-brand cap. No one courier leaves the handoff carrying three bags from three storefronts while two couriers wait idle at the door. The per-courier cap is brand-specific — a sushi cap is a small-format, tight-radius threshold; a Nashville hot cap is a large-format, farther-radius threshold — and the marketplace reads the load distribution the operator reads.
- Pack order aligns with the SKU the inventory loop confirmed. The courier sequence is paired with the automated inventory read, so the SKU that lands in the bag is the SKU the reordering agent confirmed is on the shelf. The cold-food one-star the prior cohort reported on a missing SKU drops out of the rating window inside two weeks.
Courier marketplaces referenced
The three dispatch feeds every multi-brand kitchen reads a courier flight against.
The courier-routing agent reads from the three dispatch surfaces that funnel courier signal into a ghost-kitchen brand — across the platforms an operator already staffs a storefront on. New connectors land through the integrations surface as they ship.
- DoorDash dispatch. Reads DoorDash courier-ETA refresh on every active order and ranks each ticket against the DoorDash hold window. The packer sequence surfaces before the courier arrives; the DoorDash courier picks up a sealed bag at the projected close time, not on hold.
- Uber Eats dispatch. Reads Uber Eats courier-ETA refresh on the same loop, against the Uber Eats hold window. The same ranked pack sequence crosses both marketplaces; no courier on the Uber Eats queue waits at a handoff that has not yet sealed.
- Grubhub dispatch. Reads Grubhub courier-ETA refresh on the same loop, against the Grubhub hold window. The agent ranks each Grubhub order against the same flight the DoorDash and Uber Eats cues read, so a courier from any of the three marketplaces sees the same sealed handoff at the same projected close.
What you get on day one
What an operator actually gets the day the courier-routing loop goes live.
The promise of AI courier routing is not removing the operator from the handoff; it is removing the seams so the operator reads three ticket streams, three courier queues, and three bag envelopes in one ranked list and approves what the marketplace reads. Concretely, here is what every Braiseflux operator gets the week a courier-routing agent lands on the line.
- Courier hold time drops below on-time threshold. The packer sequence fits the courier-arrival refresh, the bag is sealed before the courier walks in, and the marketplace records one flight with no holds past threshold. The cohort moves from a two-minute median hold to a sub-threshold median inside the first month; the storefront keeps its tier.
- Cold-food one-stars drop with envelope profile. The packer sequence is scored against the per-brand insulation envelope, so the sushi does not share a courier run with the Nashville hot. One-stars that mention cold food fall off the rating window; the storefront reads its temperature drift at morning lineup rather than at month-end review close.
- Per-courier load balances against the per-brand cap. No courier leaves the handoff carrying three bags while two couriers wait idle at the door. The per-courier cap is brand-specific, the marketplace reads the load distribution the operator reads, and the on-time percentage holds across every storefront.
- Pack sequence aligns with the SKU the inventory loop confirmed. The courier sequence is paired with the automated inventory read, so the SKU that lands in the bag is the SKU the inventory loop confirmed was on the shelf. The sequencing-loop error rate the prior cohort reported — a pack sequence that referenced a SKU the inventory loop had already flagged out — drops inside two weeks.
- Operator stays dispatch authority, not dispatcher-in-chief. Nothing ships without the operator's eye. Escalations (an out-of-ETA courier, a per-courier cap trip, a new bag-format swap the agent has not seen) surface every lineup so the operator stays the voice on the handoffs the marketplace reads. The ninety-five percent auto-surfaces on the packer console; the operator reads the queue at lineup rather than at the door.
Keep reading
Where to go next on the courier-routing loop.
The courier-routing loop lives inside the broader multi-brand agent bundle, and it sits next to a handful of operator field notes that walk the deeper questions operators ask before signing up. Start with the cluster field note on the loop itself, then move into the broader queue pillar this page extends, the cross-cluster pass-through on the reply loop, the inventory + reorder loops the courier sequence pairs with, and the parent multi-brand overview.
- Courier routing and packer prioritization: how Braiseflux agents sequence the flight when multiple virtual brands are live at once — the cluster field note that walks first-out detection, per-courier load balancing, and multi-brand pack sequencing in the operator-facing depth this page summarizes.
- Courier routing and packer prioritization — the sibling front-of-funnel pillar on the same agent loop, with the five-signal flight read for an operator who has not yet signed up.
- AI review replies — the sibling solution page on the rating loop that follows up on the one-star a courier hold produced, so the reply lands inside the same-day window that earns the retraction.
- AI menu swaps — the sibling solution page on the demand-driven rotation the courier sequence targets, so the storefront that holds its tier earns the ranking the swap loop indexes.
- Automated inventory — the sibling solution page on the per-brand shelf read the courier sequence pairs with, so the SKU the packer seals is the SKU the inventory loop confirmed was on the shelf.
- Automated inventory reordering — the sibling solution page on the procurement cadence the courier sequence pairs with across every live storefront.
- Multi-brand portfolio dashboard — the sibling solution page on the unified morning read the courier loop feeds into, so a per-storefront hold-time delta is read at the same lineup the rating delta surfaces.
- Multi-brand restaurant management software — the parent page; the broader four-agent bundle the courier-routing loop lives inside.
- Demand-driven time-of-day menu swaps — the companion field note on the rotation the holding-tier storefront earns once the courier-sequence loop retires the marketplace hold.
- Automated ingredient reordering by SKU velocity — the companion field note on the procurement cadence the courier sequence pairs with, so the inventory loop holds a SKU the bag sealing can rely on.
- How Braiseflux runs the six-operator loop every shift — the day-by-day walkthrough of every agent on the line, including this one.
- Pricing — flat per-kitchen pricing that doesn't scale with the storefront count or the courier volume.
Get started
Ship the courier flight on your first lineup, this week.
Connect DoorDash, Uber Eats and Grubhub dispatch to one flight read, hand the agent the per-SKU prep history and the per-brand insulation profile, and watch Braiseflux surface the first-out pack sequence before the courier arrives. On a weekend dinner rush with three storefronts live at once, the packer reads one ranked queue, the courier leaves the handoff on time, and the marketplace reads a flight with no holds past threshold. The operator stays the dispatch authority; the kitchen keeps its tier on every storefront. Read the deeper operator walkthrough of the same loop (deep dive →).