Autonomous dispatch at global scale.
Atlas Logistics deployed Zeptrai’s voice agents to negotiate loads, update drivers, and resolve exceptions in real time across eight languages.
Headline metrics
Quantifiable outcomes delivered across customer, operational, and compliance dimensions.
Manual interventions
−78%
Coverage
24/7 × 8 languages
Seasonal overtime
Eliminated
Challenges
- Dispatch teams were overwhelmed with calls across time zones and languages.
- Pricing decisions lagged behind market shifts, impacting margins.
- Drivers lacked timely updates, causing missed slots and dissatisfied customers.
Solution
- Built voice personas with tonal mirroring, sentiment detection, and compliance disclosures.
- Integrated TMS, ERP, telematics, and pricing engines for real-time decisioning.
- Delivered dashboards showing call analytics, sentiment trends, and SLA adherence.
How it works
The technical blueprint underpinning the programme—balanced for resilience, security, and maintainability.
- Twilio programmable voice with Whisper speech-to-text and ElevenLabs speech synthesis.
- Reasoning layer orchestrated via OpenAI + Temporal with policy guardrails.
- Data sync into Snowflake for analytics and Tableau for operational reporting.
Delivery cadence
Milestones and artefacts produced throughout the engagement.
Phase 1
Phase 1 — Intent Mapping
Audited 1.2M call transcripts to design negotiation flows and escalation paths.
Phase 2
Phase 2 — Persona Engineering
Crafted multilingual personas, tone guidelines, and compliance scripts.
Phase 3
Phase 3 — Pilot
Launched in two regions with human supervision, iterating daily on edge cases.
Phase 4
Phase 4 — Rollout
Expanded to global coverage with automated QA, analytics, and runbook handover.
Technologies employed
Enterprise-grade platforms and services we combined for this programme.
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