Yes - SleekAI reads WooCommerce order, customer, and product data natively, so it can answer order-status, shipping, return-window, and account questions from real records. For multi-vendor stores or custom checkout flows, you can extend the context payload with your own meta fields without touching the core integration.

When SleekAI can't help - or the customer explicitly asks for a human - it captures the conversation and posts it to your support tool of choice: email, Slack, Help Scout, Front, or a custom webhook. The agent picks up with full transcript, customer record, and the bot's best guess at the unresolved issue, so the human starts at minute five rather than minute zero.

Customers typically deflect 30-60% of tier-1 tickets, with the variance driven by help-doc completeness and how much logged-in data you pass into context. Stores with thin docs see lower numbers; teams that wire up order, plan, and subscription data see higher. Tracking the deflection rate week-over-week also tells you which doc gaps to fill next.

Yes - SleekAI replies in the customer's language automatically, even if your help docs are only in English. The model translates the relevant doc passage on the fly. For markets where you have localised docs, you can scope a per-locale bot via multibot so cited links match the customer's preferred language.

Yes - every conversation is stored in your WordPress database with timestamp, user record, and full message history. You can review, export, or delete logs at any time. For audit-heavy industries, set retention windows by post-status query or schedule a cleanup cron, and rely on WordPress's existing role-and-capability layer for who can read what.

Conversations live in your WordPress database under your control. Using your own OpenAI API key with the standard API terms means data is not used for model training by default. For full GDPR rigor, document the bot in your privacy notice, confirm OpenAI's data-processing addendum, set retention to match your policy, and ensure the conversation log is included in your data-export and deletion flows.

Low-risk actions yes - enabling SMS tracking, updating a shipping address, resetting a password, upgrading a plan. Refunds and disputes should escalate to a human by default; the bot collects context and prepares a recommended action, but a person signs it off. This split keeps the deflection benefit without putting policy decisions in the model's hands.

Deflection follows doc quality directly. Thin or outdated help articles cap how much the bot can resolve. The good news is that the conversation log surfaces exactly which gaps matter - if forty customers ask the same un-answered question this week, you know what to write. Teams typically see deflection climb 5-10 percentage points a month as they patch the most common misses.