Yes. As long as the comparison attributes are in product meta (temp rating, fill power, weight, capacity, certification), the bot can compare two SKUs honestly: "the Cascade 20F is rated 20 F and weighs 1.2 kg; the Cascade 30F is rated 30 F at 870 g." The comparison stays grounded in published specs rather than the bot's training data, which is the failure mode that loses outdoor customers fastest because they are usually fact-checking in another tab.

If you publish the EN 13537 (or ISO 23537) ratings on the product page (comfort, lower limit, extreme), the bot quotes them. For brands that publish only marketing numbers, the bot stays with what you have published rather than inventing certified values. This matters because EN/ISO ratings are the standard outdoor buyers use to compare bags across brands; the bot's job is to make those numbers visible in conversation, not to claim ratings the manufacturer has not certified.

Yes, if your size charts and capacity guidance are in product meta or referenced from OpenAI Files. A customer with a 19-inch torso asking about the Kestrel 38L gets the M/L size confirmation and stock answer in one reply. For brands with specific fit systems (Anti-Gravity, AirContact), the bot can describe the system as documented and surface the right variant from your stock.

Drop your warranty matrix into the chatbot's context. The bot then knows that Patagonia goes through Worn Wear, Osprey through All Mighty Guarantee, Arc'teryx through ReBird, and your shop's role at each step. A customer with a torn hip belt gets routed to the right path quickly, with the disclosure that warranty does not cover normal wear. Logs are useful here as the disclosure trail when a customer escalates.

Yes. Shipping zone data lives in WooCommerce settings and is accessible as structured context. A customer flying out Saturday gets a country-specific ETA: "orders before 14:00 today ship same day; standard delivery to Italy is 2 to 3 business days, Friday is reliable." For high-priority items, the bot can also surface express options and their incremental cost without having to escalate to a human.

Yes, if those rules are in your published returns policy. The bot quotes them verbatim: "sleeping bags slept in once are not returnable; tents pitched once for a yard test are returnable within 14 days, otherwise final sale." Outdoor gear has more nuanced return rules than most retail and the chatbot is the most consistent place to explain them. The disclosure also reduces dispute volume because the customer was told the rule in writing before purchase.

In your WordPress database. Each message is logged with model name, token usage, and page URL, so you can audit answers, refine the system prompt, and spot products that generate the most uncertainty. Nothing routes through Sleek infrastructure: conversations go from the browser to your WordPress site to your model provider on your API key. For shops with EU customers, the data path is short and the processor map is simple.

Multibot lets you run several bots on the same site with different prompts and display rules. A backpacking bot can lean into temp ratings and pack fit; a climbing bot can be more reserved and reference certifications (UIAA, EN 12492); a trail-running bot can focus on weight and breathability. Display conditions scope each bot to the right category, so a customer browsing climbing helmets sees the climbing bot rather than the backpacking one.