Promise AI agent illustration

Promise

OTIF & Service Integrity

Promise protects the customer promise end-to-end. It scores order risk before shipments go out, validates allocation and ship plans against customer rules, and monitors on-time and in-full execution across DCs, carriers, and retailers. Promise turns OTIF into something actionable and defensible: what’s at risk, what’s causing misses, what it will cost, and what to fix first—so service improves and chargebacks drop.

Primary Outputs

Typical deliverables
Order risk scoring: “likely OTIF miss” list before ship with root-cause hints
Customer rule validation: appointment windows, lead times, ASNs/labels, pallet patterns
OTIF and fill-rate dashboards by customer, DC, carrier, lane, and SKU family
Exception alerts: shorts, late tenders, late pickups, missed appointments, and POD gaps
Chargeback and penalty exposure estimates with dispute-ready supporting evidence
Weekly service brief: “what missed / why / cost / corrective actions”

Core Capabilities

What it does
Defines OTIF consistently (and correctly) by customer rules, not “internal math”
Predicts order-level OTIF risk using signals from inventory, dock, carrier, and appointment plans
Detects systemic causes of misses: allocation logic, wave planning, staging constraints, carrier failures
Quantifies the business impact: chargebacks, expedited freight, rework, and lost sales risk
Creates a closed-loop recovery process: owners, actions, timelines, and recurrence tracking
Produces dispute-ready documentation aligned to customer scorecards and compliance requirements

Operational Fit

How it’s used
Used By

Customer Supply Chain, Logistics, DC Ops, Transportation, Customer Service, and Supply Chain Finance.

Used For

OTIF improvement programs, daily service risk reviews, customer scorecards, and chargeback prevention.

Typical Questions
  • Which orders are most likely to miss OTIF this week—and why?
  • Are misses driven by inventory/allocation, DC execution, or carrier performance?
  • Where are chargebacks coming from—and do we have the evidence to dispute them?