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Production-Ready AI Solution
Logistics · Enterprise Solution

Delivery ETA

ETAs your customers actually trust.

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LIVE AI ENGINE
Real-Time Execution Pipeline

Delivery ETA · Live Event Stream

STREAMING
STAGE 01INGEST
Enterprise Data
Lakehouse & APIs
STAGE 02ACTIVE
Breww AI Kernel
Multi-Agent Engine
STAGE 03ACTION
Automated Action
Low Latency SLA
EVENT MONITOR · LOGISTICS
ONLINE

[INGEST] Multi-source telemetry batch synced (2,480 items)

p99: 12.4ms
Throughput: 420 ev/s
ZERO-DRIFT SLA
The problem

What we hear

ETAs slip; customer service takes the hit.

Our approach

How we solve it

Predictive ETA models with confidence bounds published to customer channels.

Outcomes

Measured impact

  • Fewer where-is-my-order calls
  • Better customer NPS
  • Cleaner exception handling
Talk to us

Bring delivery eta into production.

Share a couple of lines about your setup — a senior partner will get back within a business day.

Discuss this use case

Tell us about your organization and what problem you are solving.

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Delivery ETA — Logistics · DataCaffe.ai