Client-expectation decision tree engine
Stage 5 · Warehouse & Transload
P1Expansion
Four-Lane View
Software Function
- ›Per-client rule trees: on receipt → cross-dock / stage / put-away / QC hold, by SKU, PO, or condition FIFO/LIFO/FEFO, lot & expiry rules configured per client, enforced at every move Exception routing: damaged/short/over → client’s pre-agreed decision path, auto-executed
Service Provider / Admin
- ›Ops codifies each client’s playbook once at onboarding — tribal knowledge becomes configuration New-hire warehouse labor productive day one: the tree tells them what this client wants
User — Driver / IOO
- ›Outbound loads inherit the rules — right pallets, right order, right paperwork
Customer — Client / FF / NVOCC
- ›Their expectations are ENFORCED, not remembered: the tree is visible to them and versioned — CLIENT/FF/NVOCC service consistency as configuration
Software Function
- ›Per-client rule trees: on receipt → cross-dock / stage / put-away / QC hold, by SKU, PO, or condition FIFO/LIFO/FEFO, lot & expiry rules configured per client, enforced at every move Exception routing: damaged/short/over → client’s pre-agreed decision path, auto-executed
Competitors
Camelot/Extensiv (configurable but consultant-heavy), Manhattan (enterprise rules engines). None expose the rules to the client.
Differentiation
3PL service failures are almost always "the new guy didn’t know." We turn client expectations into executable, client-visible logic — the service standard becomes software.
Make It Better
Zero "you handled it wrong" disputes: every handling decision traces to a rule the client approved. Onboarding a new client’s playbook takes hours, not months.