A tracking peak on WhatsApp
Every shipment raises the same question several times, to sales, to support and to the driver. None of them has the status at hand.
Logistics & transportation
“Where is my shipment?” answered before it becomes an incident.
AI queries the TMS and answers the status on official WhatsApp. Damage and delays become incidents with queues and SLAs. And the shipper book gets a health score that flags a volume drop before the contract ends.
For:Carriers and logistics operatorsShippers with a B2B bookLast-mile operations
Today
Three problems that keep coming up in this sector
Incidents with no queue and no SLA
Damage and delays arrive as loose messages, with no priority, and get solved by whoever saw them first. Or by nobody.
A large shipper with no account management
The customer behind most of the volume has no owner, no periodic review and no alert when it starts shipping less.
With Partenero
The same four products, configured for your sector
Sales, support, Customer Success and AI agents share one data layer and one history. What changes per sector is the queues, the journeys, the playbooks and the AI's rules.
AI Agents
AI that reads the TMS and answers
Agent integrated over API with your TMS: status, ETA and proof of delivery answered on official WhatsApp, 24/7. Outside the rules, it opens an incident with context.
- Status and ETA over API
- Proof of delivery in the chat
- Escalates to an incident
Customer Experience
Incidents with queues and SLAs
Damage, delays and discrepancies become conversations with priority, SLA and escalation, on the shipper's shared history.
- Queues by incident type
- SLA with escalation
- History per shipper
Customer Success
Shipper book with a health score
Each shipper is an account: volume, incidents, payment terms and relationship become dimensions, with playbooks and periodic reviews.
- Health score by volume and incidents
- Shipment-drop alerts
- Periodic review with an owner
Partenero Sales
Quotes off the salesperson's phone
Quote requests enter the pipeline over official WhatsApp, with an AI SDR qualifying origin, destination and frequency.
- Quote pipeline
- AI qualification
- Conversation on the account
Use cases
Trigger and action, like a playbook
Each item below is a platform configuration, described in the present tense. It is not a promise of results: it is what the rule does when the trigger fires.
Customer asks where the shipment is
AI queries the TMS over API and replies with status and ETA; a delay beyond policy opens an incident.
Damage or discrepancy on delivery
Incident opened with priority and SLA, shipper notified on the same channel, history preserved.
Shipment goes out for delivery
Proactive notice over the official API with the ETA; the customer replies and the conversation continues in the inbox.
Shipper cuts volume
Health score weighs the financial dimension and opens a task for the account manager.
Quarter closes
Periodic review with the shipper, built from the period's incidents, volume and NPS.
New shipper signs
Onboarding journey with registration, integration and first pickup, each step with an owner.
Integrations
Connectors that matter in this sector
TMS, WMS and ERP connect over API and webhooks; the AI looks up status and proof of delivery with per-tool permissions.
See all integrations- Omie
- Bling
- Power BI
- Google Sheets
- Gmail
- Outlook
Frequently asked questions
Intelligent customer management
Bring your operation to the conversation.
A 30-minute demo with a specialist. Bring your daily tracking message volume and the list of your ten largest shippers.
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