Eight rules, one decision per order.
Mode selection isn’t magic. It’s a rule set, applied per order, against the truth layers in your blueprint.
Parcel
when it is small.
LTL
when it is palletized.
Cargo van
when it is urgent and local.
Box truck
when it is too large for parcel.
Big and bulky
when the home delivery experience matters.
FTL
when volume supports it.
Zone skipping
when density justifies it.
Inbound consolidation
when fragmented vendors are creating waste.
You set the rules. Warp executes inside them.
See how the engine routes a single order.
Change weight, dimensions, destination, promise, or channel and watch the recommended mode change in real time. Deterministic V1 rules.
Mode decision simulator
Deterministic rules from the autopilot defaults. Tweak inputs to see how the engine routes.
Why: Standard promise window with sufficient volume profile. Zone-skip into last-mile carrier.
Alternatives: Parcel
Deterministic V1 rules. Live decisions use the full autopilot policy graph plus customer approved thresholds.
Autopilot begins upstream.
The earlier Warp sees the decision, the better the network performs. Vendor routing guides shape how freight enters the system. Purchase orders give Warp time to plan capacity before shipments exist. Inbound consolidation reduces fragmented freight. Inventory positioning puts product closer to demand. Packaging intelligence reduces damage and dimensional weight waste. Retail replenishment planning creates better store delivery cadence. Delivery promise logic prevents brands from making promises the network cannot safely keep.
Vendor routing guides
Vendor compliance scored on every inbound. Bad behavior surfaces before chargebacks do.
PO based freight planning
Capacity locked off each PO. Freight planned before the shipment exists.
Pooled inbound
One pooled lane replaces N fragmented vendor LTL legs.
Inventory positioning
Forward deployment, cross-dock bypass, and storage bypass triggered from the same engine.
Packaging intelligence
Dim weight waste flagged, damage risk surfaced, pallet density audited.
Retail replenishment
Retailer compliance, pool distribution, and store cluster routing in one plan.
Delivery promise engine
Promises gated by inventory, mode, and cutoff. At-risk promises escalate automatically.
Autopilot begins at the container.
The earlier Warp sees inventory, the better the freight decisions become. When Warp understands container arrivals, drayage timing, transload workflows, inventory demand regions, and fulfillment rules, we can start shaping inventory before it ever reaches storage.
Container as a decision point
Each arriving container is graded for store, cross dock, regional split, direct replenishment, or overflow staging.
Transload before the long haul
Floor-loaded containers transload at a port-adjacent cross-dock; palletized loads continue clean.
Demurrage and detention control
Pre-book drayage against vessel ETAs; release to receiving in waves matched to dock capacity.
Regional split at the port
Inventory enters the country once and goes to the regions where demand lives. No second cross-country leg.
Direct replenishment
Wholesale and store inventory never enters fulfillment storage. Port to LTL to dock.
Live container visibility
Vessel ETA, customs status, chassis, drayage, and dock arrival in one operator view.
Autopilot starts before the order exists.
When Warp sees inbound transport, vendor behavior, product dimensions, inventory location, and demand regions, we can start making better freight decisions before orders are even released. Some inventory should be stored. Some should cross dock. Some should forward deploy. Some should consolidate. Some should bypass fulfillment entirely. Fulfillment becomes stronger when transport intelligence comes first.
Inbound consolidation
Vendor routing guides and pooled pickups when fragmentation is hurting margin.
Cross-dock bypass
Eligible inventory skips the shelf and moves straight to the next leg.
Forward inventory placement
Push high-velocity SKUs closer to demand zones; pull slow-turn back.
Storage bypass
SKUs that should never sit. Receive, scan, release.
Dock coordination
Appointments aligned with carrier ETAs. Less detention, less waiting.
Damage inspection at receiving
Photo every pallet and carton. Flag exceptions before put-away.
Autopilot needs truth, not guesses.
Product truth
Dimensions, weight, fragility, packaging needs, case quantity, pallet quantity, photos, serial tracking, lot tracking, damage risk, storage requirements, dim weight exposure.
Inventory truth
Where inventory is stored, how much is on hand, velocity by SKU, inbound cadence, reorder windows, storage density, and regional demand.
Order truth
Order volume, order mix, units per order, destinations, cutoff times, rush orders, wholesale vs DTC split, and delivery expectations.
Promise truth
What the customer expects, what the brand promises, when delivery needs to arrive, and how expensive failure is.
Exception truth
What to do when inventory is missing, an address is wrong, product is damaged, a return is opened, an order is late, a carrier fails, or a SKU is mismatched.
Autopilot is not uncontrolled AI.
Customers define rules, thresholds, permissions, and escalation paths. Warp recommends first, then earns the right to automate. Every decision is logged with the rule that produced it, the alternatives considered, and the cost, speed, and risk implications.
Recommend only
Surface the option. A human picks.
Autopilot with approval rules
Warp executes inside thresholds you set. Above them, we escalate.
Ask each time
High-stakes decisions stay with the operator. Warp prepares the choice.