Live in weeks. Without a system integrator.

Pre-built connectors for Shopify, Salesforce, Magento, and the OMS, loyalty, and returns tools retail teams already run. There's nothing to custom-build, so IT reviews and authorizes instead of staffing a project.

The moment integrations are authorized, Gladly pulls order history, loyalty tiers, return records, and policy docs. No data pipeline project, no ETL work. Live in hours, not weeks.

No warm-up period. Gladly arrives with purchase history, past conversations, and loyalty status already in place, and its pre-trained retail model means conversation one draws on 450M+ conversations of context instead of zero.

One well-built integration can cover 100% of what your customers ask about. Gladly helps you connect the ones that match your real conversation volume.

Brand voice, escalation rules, topic coverage, and response tone are all set in Gladly's configuration layer by the people who know the brand. No prompt engineering, no model fine tuning, no IT ticket.

Upload your return policy, shipping SLA, and brand guidelines. Gladly reads them, internalizes them, and applies them from the first conversation. No training period, no warm-up.

Run your last 30 days of contact history through Gladly in simulation mode and see resolution rate, escalation triggers, and response tone before a single live customer meets the AI.

For every response, Gladly shows the knowledge it used and the reasoning behind it. When it can't find a good answer, it flags the gap and escalates cleanly, with no guessing. You launch on something you can inspect, not a black box.

Each live conversation adds context, resolution rate climbs, and edge-case coverage grows. Smith Optics lifted resolution 40% in two weeks by refining workflows and knowledge, with no engineering buildout. Rothy's cut staffing cost 22% year over year while it kept growing.

Adjust coverage, update policies, and tune escalation rules through the configuration layer. One brand made 202 workflow updates in a month, all driven by one person on the CX team with no engineers in the loop, because each update takes minutes.