Burq Intelligence is the system your delivery operation runs on: it prices every option, your fleet included, decides against your promises and policies, dispatches, recovers, and learns.
Burq connects to your existing systems: your OMS, WMS, TMS, storefront. It turns each order into a decision: what is it, where is it, where must it go, by when, under whose rules. It reads your policies, your constraints.
Every way this order could move - your drivers, gig couriers, local carriers, each at each service class, batching with a nearby order, dispatching now vs. holding inside the promise.
At the engine’s center sits the Decision Graph, the record of every delivery Burq has watched: actual times vs. promises in this zone, at this hour, live stall rates, your true fleet cost. Every option is scored against it.
One option wins, executed at the authority you granted. That authority is a ladder, not a switch: you decide, Burq watches, Burq proposes, Burq executes, inside your policies, at your pace. Every decision, executed or not, writes a receipt: the pick, the price, the runner-ups, the reasons.
Burq watches every active order against its promise. When one needs something, an agent spawns for exactly that job: a driver check-in, a re-route, a recovery, a customer update.
Every delivered, failed, or recovered order is graded against the decision that produced it: was the pick right, what did it truly cost, was there a better call on the board. Burq grades its own work, flags its own misses, and the next decision starts smarter.
Every insight your operation runs on, in one place: what you saved, what was kept on promise, what broke and why, where the next dollar is.
Burq Intelligence decides how every order should move, executes that decision at the authority you grant, and records why.
It starts by reading the order from the systems you already run. It then builds every way the order could move, your own fleet included, and scores each option on the Decision Graph: Burq’s record of how every provider, route, and hour actually performs. The winning option is committed, and from there every live order is watched against its promise, with agents handling check-ins, re-routes, and recoveries the moment one is needed.
Finally, every outcome is graded and written back, so the next decision starts smarter. And every step lands in the decision ledger, the record of why goods move: the pick, the price, the runner-ups, the reasons.
The Decision Graph is Burq’s proprietary memory of how goods actually move: every delivery it has watched, every option it priced, and how each one turned out.
When your order is dispatched, every option is scored against that memory: how this courier performs on this route, at this hour, in this weather, at real prices. Not industry averages, the actual history of your lanes. It grows with every order and updates the moment outcomes land, including the wrong calls, which are kept, because honest hindsight makes the next call better.
Anyone can ship an agent. The difference is what the agent knows when it acts.
On Burq, you don’t set up agents. Orders do. When an order needs something, a check-in, a re-route, a recovery, an agent spawns for exactly that job, staffed by the decision engine: it arrives already knowing the order, the promise, the alternatives priced at commit, and your rules. And everything it does is recorded on the decision ledger and graded afterward, so every agent’s work feeds the same Graph that staffs the next one.
Agents aren’t the product. The judgment that staffs them is.
No. It multiplies their productivity. The mechanical work moves to the engine: quoting providers, chasing stalled drivers, re-keying failures, sending updates. Your dispatchers stop touching every order and start managing by exception: the queue shrinks to the calls that actually need judgment, and each one arrives pre-worked, the options already priced, the evidence already attached, one tap to accept or override.
Yes. Burq is built for the largest operations in retail: millions of deliveries and over half a billion dollars in goods moved. And the record to match: 1.4 billion facts weighed on orders, 122 million alternatives compared, and 162 million decisions written down.
The engine that reads, prices, decides, and learns is running today, across the provider network and your own fleet, getting smarter with every order. Yours could be next.
Decision quality, measured. Not one score, the same seven dimensions your operation is judged on: cost, promise, reliability, speed, efficiency, fulfillment mix, customer experience.
You don’t set up agents. Orders do.
Supervises deliveries in progress: detects stalls or off-route behavior and checks in with the driver automatically to confirm status and capture updates.
Monitors active routes, predicts delay or failure risk, and moves the order in seconds to the best backup, the runner-ups from commit, re-validated live.
Resolves missed commitments by evaluating the failure against your SLAs and policies, then triggers the right action: redelivery, refund, credit, or escalation.
Uses real-time delivery context to decide when your customer should hear from you, the right message, at the right moment, in your brand’s voice.
Spots orders headed the same way and merges them into one pickup, only when the detour, dwell time, and capacity actually fit.
Validates every proof of delivery on arrival, photo checked, issues flagged, and routes missing or unclear proofs for resolution.
Resolves imperfect data at creation, unparseable addresses, missing weights, so the failure the recovery agent would handle never happens.
Sets the promise the Graph can defend: what this zone, this hour, this weather actually supports, before checkout writes a promise no one can keep.
When an origin drops out mid-flow, stockout, dock closed, re-sources the order to the next origin before the dispatch fails.
Audits every provider invoice against the price on the receipt: overcharges flagged, duplicate fees caught, SLA credits claimed.
When a wholesale chargeback lands, assembles the case from the ledger, OTIF met, proof attached, and files the dispute.
Watches the ledger for patterns in your own overrides and proposes the rule change, with the evidence attached.
Forecasts tomorrow’s demand against today’s roster from your fleet’s shift and capacity data, and flags the gap in time to staff it.
Composes the weekly ops brief from the ledger: what changed, what it cost, which promises were at risk.
Four modes, climbed at your pace. Every mode earns the next.