AI for brands and retailers who can't add headcount this Q4.

Tickets auto-classified, 60-70% resolved with brand-voice replies, sentiment-triggered escalation, full history attached to escalations.

Calls, texts, and emails asking product how-tos and questions your FAQs already answer get a reply auto-drafted from your actual help content — queued for one-click human approval, or fully deflected once the answer is proven.

Return request → AI checks policy + condition + customer history → generates RMA + return label + refund instruction → routes to warehouse.

Pre-empts 'where's my order?' with proactive shipping milestone updates via SMS/email.

Tickets / reviews / social mentions with negative sentiment thresholds trigger immediate human review with full context.

Drafts welcome series, abandoned cart, post-purchase, win-back, replenishment emails from brand voice + product data + behavior triggers; queued for review.

Daily: monitors campaign performance across Meta/TikTok/Google; surfaces material drops in CTR, conversion, ROAS within hours; recommends action.

Generates ad creative variants from product images + brand assets; queues for review; deploys winners; deprecates losers.

B&M: drafts Google Business posts, local social, email blasts based on location-specific events + inventory; queued for manager review.

Identifies brand-mention creators, drafts outreach, manages content licensing pipeline.

Continuous sync across Shopify + Amazon + retailer EDI + brick-and-mortar POS; prevents overselling; surfaces drift.

B&M / multi-channel: weekly replenishment recommendation per location based on sell-through + seasonality.

Marketplace seller: forecasts FBA replenishment timing per ASIN to avoid stock-outs without overpaying for storage.

BOPIS / ship-from-store / online: routes order to optimal fulfillment location based on inventory + proximity + capacity.

B&M: surfaces unusual transaction patterns (high refund rate at one register, unusual void patterns, employee-driven discount stacking) for LP review.

Continuously optimizes listings (title, bullets, backend keywords) against current search trend data; queues changes for review.

Daily: rebalances Amazon Sponsored Products + Sponsored Brands based on performance + ACoS targets; surfaces shifts > threshold for review.

Watches Amazon account health signals (suspended ASIN, IP claim, listing suppression, performance metrics); immediate alert with root cause + recommended action.

Monitors product reviews on every channel; auto-classifies (positive / negative / question / fake-suspect); drafts responses for negative + questions; queues for brand review.

Continuously monitors prices across own DTC + Amazon + retailer e-commerce + Google Shopping; flags MAP violations with screenshot evidence.

Tracks retailer compliance metrics (on-time, fill rate, EDI exceptions, packaging compliance) in real-time so team intervenes before chargebacks.

Customer + sales records reconciled continuously across Klaviyo, HubSpot, the ERP, and your store platform. Duplicates merged, conflicts surfaced, and one clean view of the whole business — so leads stop falling between systems.

Each morning: revenue vs target, sell-through, inventory health, CS queue, ad performance, reviews, alerts. One screen.

Continuous cohort analysis (acquisition channel, first product, repeat behavior, LTV); surfaces channel ROI shifts before quarterly review.

Pre-shipment fraud screening + post-purchase chargeback pattern detection; surfaces high-risk orders before fulfillment.

Multi-channel: auto-handles routine EDI exceptions (qty changes, PO updates, ship date changes); escalates anything outside policy.