Purpose-built for marketplaces, retail media, and D2C operations — every SellMetric agent is grounded in your governed data, follows your approval rules, and gets measured against the outcome it recommended.
From data to detection to action to measurement — no hidden steps, no unexplained recommendations, no black-box outputs.
Every agent operates on the Unified Commerce Graph — your governed, real-time source of truth. No external scraping, no model hallucinations.
Agents watch every SKU, store, keyword, placement, and competitor 24×7. They surface what's drifting, not just what's broken.
Each recommendation cites the exact data, the expected outcome, and the confidence band. You see why, not just what.
Every recommendation is tracked against actual outcome. Agents tune their thresholds, signals, and confidence over time.
Whatever the agent, the work maps to the four levers that move commerce performance — Product, Price, Place, and Promotion — monitored and optimized continuously across channels.
Listing quality, content health, catalog completeness, and review sentiment — so every detail page converts.
Price drift, MAP compliance, and competitive pricing — flagged and corrected within your guardrails.
Buy box ownership, on-shelf availability, and search visibility across every retailer and region.
Bid optimization, ACoS and ROAS targets, and sponsored placement performance — automated and measured.
Filter by category. Every agent ships with built-in approval rules, audit trails, and per-customer thresholds.
Monitors buy box ownership across Amazon, Walmart, and Target+ in near-real-time. Detects flips within minutes and classifies the root cause.
Tracks SKU-by-SKU, store-by-store, region-by-region availability across marketplaces and hyperlocal commerce. Surfaces emerging OOS before sales are lost.
Watches your price against MAP, competitor moves, and retailer-side promo logic. Flags violations and unintended discounts in minutes.
Tracks competitor pricing, share, listing updates, and ad placements across your category. Surfaces shifts that change your playbook.
When sales drop or ROAS dips, decomposes the change across price, traffic, conversion, mix, and availability to find what actually moved.
Diagnoses lost organic and sponsored rank for every keyword that matters — and isolates whether the issue is listing, ads, content, or competition.
Clusters reviews into themes, tracks sentiment trend per SKU, and surfaces emerging quality and content issues before they hit ratings.
Daily bid recommendations across Amazon Ads, Walmart Connect, and Target Roundel — grounded in incrementality, not just last-click ROAS.
Recommends price moves grounded in elasticity, competitor activity, channel mix, and margin floors — with simulated revenue and margin impact.
Allocates next-period spend and inventory across marketplaces, D2C, and hyperlocal commerce to balance growth, margin, and brand reach.
Once buy box is lost, executes the recovery playbook — repricing, FBA push, listing fix, or escalation — within your approval rules.
Generates replenishment recommendations by store, region, and lead-time. Pushes approved orders to ERP and warehouse systems.
Drafts weekly and monthly business reviews — what moved, why, what to do next — grounded in your data and ready for board-ready edits.
Daily and weekly anomaly digests scoped to your role — what changed in your channels, why it matters, and what to act on first.
When buy box ownership flips, every minute is lost revenue. This agent detects, classifies, and routes the fix — and the entire path is auditable end-to-end.
No black boxes. Every agent uses the same accountable stack: governed data, retrieval, reasoning, action, evaluation.
Every action explainable, every recommendation cited, every output auditable — at enterprise scale.
Every output points back to the exact rows, dimensions, and time windows used. No claim without its source.
Agents act only within explicit per-customer rules. Auto-execute, route-for-approval, or never-execute — your call, per workflow.
Every input, prompt, decision, and outbound action is logged. Replay any agent run end-to-end on demand.
Every recommendation tracked against actual outcome. Accuracy, precision, and impact reported per agent, per workflow.
Start with the agents that solve your most expensive problem first. Add the rest as your team scales.