The Tars AI agent does both. For complaints that match your configured resolution policies -- late deliveries, missing items, incorrect orders below a certain value -- the bot resolves them autonomously by issuing discount codes, scheduling redeliveries, or applying account credits. For cases that require human judgment (food safety issues, high-value refunds, legal concerns), it collects all details, attaches photos if provided, and escalates to your team with the full context so they can resolve quickly without re-asking the customer for information.

Yes. Tars connects to restaurant tech stacks through Zapier, webhooks, and direct API integrations. You can push support ticket data to tools like Toast, Square, or any POS that accepts webhook payloads. CRM integrations with HubSpot, Salesforce, and Zoho CRM let you tie support interactions to customer profiles. Order details can also flow to Google Sheets for lightweight reporting or to Slack for real-time team notifications on escalated cases.

Tars is SOC 2 compliant with all data encrypted in transit and at rest. Customer information including names, order numbers, addresses, and complaint details is accessible only to authorized team members. For brands processing payments, the Stripe integration is PCI DSS Level 1 certified, and Tars never stores payment card data. For operations serving EU customers, the platform supports GDPR-compliant data handling including consent management and deletion requests.

Yes. The agent identifies which location the complaint relates to -- either by asking the customer or by parsing the order number -- and routes it accordingly. Brand-wide policies (compensation thresholds, response standards) remain consistent across all locations, while location-specific complaints are escalated to the appropriate district manager or franchisee. A single deployment covers your entire network without separate configurations per store.

This agent is configured specifically for pizza delivery support workflows. It understands the common complaint taxonomy of delivery operations (late, cold, wrong, missing, damaged), applies food-service-specific compensation logic, supports photo uploads for order verification, and handles the volume spikes unique to restaurant operations (Friday evenings, game days, promotional surges). A generic support bot would require extensive customization to handle these scenarios; this agent addresses them out of the box.

The AI agent handles unlimited concurrent conversations without degradation. If your delivery fleet hits a logistics problem and 200 customers reach out simultaneously, every one of them gets an immediate response. You can configure a proactive announcement message for known issues ("We're experiencing delivery delays in the downtown area tonight") so the bot acknowledges the situation before the customer even states their complaint. This is impossible to replicate with phone-based support during a crisis.

Most pizza brands have the agent live within a few days. Configuration involves setting up your complaint categories, compensation policies, escalation rules, and integration endpoints through a visual editor that requires no engineering involvement. You then embed a snippet on your website, connect your WhatsApp business number, or add the agent to your order confirmation page. Menu and policy updates can be made in minutes as your operations evolve.

Tars tracks complaint category distribution, resolution rates (automated vs. escalated), average resolution time, customer satisfaction indicators, and drop-off points in the support flow. You can see which complaint types spike on which days, which locations generate the most support volume, and how compensation costs trend over time. This data exports to Google Sheets or your BI tool via Zapier, giving your operations team actionable visibility into delivery quality and support efficiency across the brand.