In 2020, launching a serious e-commerce business required at least 3 people: a project manager, a catalog assistant, a community manager. In 2026, a single operator equipped with well-orchestrated AI agents does the same work — often better, and continuously.
But which agents? How do you coordinate them? Here are the 6 essential roles every e-commerce infrastructure must cover, and how Sellavi implements them in practice.
1. The Catalog Manager agent
Its role: permanently maintain consistency between your internal catalog, supplier catalogs and marketplace catalogs. Concretely:
- Detects supplier price changes and propagates them in real time to all marketplaces, respecting your target margin;
- Detects supplier stock-outs and disables the affected listings before a buyer orders an unavailable product;
- Detects spec sheet changes (weight, dimensions, EAN) and updates the right marketplace pages;
- Identifies underperforming products and suggests delisting them.
Without this agent, a catalog of 500 products on 5 marketplaces typically generates 8 to 15 inconsistencies per day — each a potential source of customer dispute or marketplace penalty.
2. The Pricing Optimizer agent
Its role: continuously adjust your prices to maximize profitability within marketplace constraints.
Three strategies coexist in a good Pricing Optimizer:
- Reactive — responding to competitor moves (dropping 1% when a competitor undercuts you, within your minimum margin limits);
- Predictive — raising prices during predictable high-demand periods (Black Friday, back-to-school, Valentine's Day);
- Pure algorithmic — continuously A/B testing price variations to find the optimal selling point on each marketplace.
The Pricing agent runs these 3 strategies in parallel and switches between them based on product context. A human couldn't make this adjustment more than a few times a day, on a few products; an agent does it every 30 minutes on the whole catalog.
3. The Order Processor agent
Its role: handle the full lifecycle of an order without human intervention.
Typical steps:
- Receiving the order from the marketplace;
- Payment validation and anti-fraud (see agent 5);
- Real-time supplier stock check;
- Issuing the supplier purchase order via API;
- Tracking the shipment and retrieving the tracking number;
- Pushing the tracking to the marketplace within the deadline (often 48h under penalty);
- Customer notification (integrated with the marketplace, no third-party email);
- Order closure after confirmed receipt;
- Triggering the review request 7 days after delivery.
Each step may seem simple in isolation, but in practice the sequence with error handling (unresponsive supplier, disputed payment, incomplete address) typically consumes 15-25 minutes per order for a human. An agent runs 200 orders in 30 minutes.
4. The Customer Support agent
Its role: answer the 80% of repetitive questions that make up most of the support volume.
This is not a generic chatbot repeating 'have you tried restarting'. It's an agent that:
- Has access to the customer's order history;
- Can check the shipping tracking live;
- Can initiate a return or automatic refund according to your rules;
- Knows when to escalate to a human (complex cases, aggressive tone, large refund requests).
The critical threshold: conversational quality. An agent that replies in 30 seconds but with generic answers destroys trust faster than it saves time. Good 2026 agents are trained on thousands of real marketplace conversations and adopt a human, helpful tone.
5. The Fraud Detector agent
Its role: identify risky transactions before validation.
The signals a modern fraud agent combines:
- Behavioral — abnormal typing speed, number of payment attempts, multiple accounts from the same IP;
- Geographic — mismatch between delivery address and IP geolocation, delivery to risky countries;
- Cards — suspicious BIN, card recently compromised in a leak database;
- Catalog — products with high resale potential (high-ticket electronics, watches, sneakers);
- History — customers with abusive returns, past disputes, linked accounts.
The agent never blocks directly — it scores each order from 0 to 100. Orders above a threshold are held for manual review. Well calibrated, a fraud agent cuts the fraud rate by 60 to 80% while generating less than 2% false positives.
6. The Market Intelligence agent
Its role: monitor your market and identify opportunities.
Concretely, this agent:
- Scans the top sales of the categories where you operate;
- Identifies fast-rising products (emerging trends);
- Alerts on sharp ranking drops for your flagship products;
- Identifies competitors newly arrived on your SKUs;
- Produces a weekly report of the 5 to 10 products worth considering to expand your catalog.
It's the most strategic agent and also the most subtle. A bad Market Intelligence agent suggests already-saturated products. A good agent identifies short-term windows — typically 30 to 60 days before everyone else positions themselves.
How these 6 agents orchestrate
None of these agents has value in a silo. The real magic comes from their orchestration:
- The Market Intelligence agent detects a trend → Catalog Manager publishes the product → Pricing Optimizer sets the prices → Order Processor collects the sales → Fraud Detector filters dubious attempts → Customer Support handles customer questions autonomously.
Without orchestration, it's just 6 scattered tools. With orchestration, it's a machine running 24/7 that learns from every cycle.
The role that remains 100% human
One thing will never be delegated to an agent: strategic positioning decisions. Which category to attack? What brand positioning to adopt? Should you refuse a marketplace that takes 25% commission? Should you diversify into flash sales?
These decisions involve bets on the future, non-modelable risk, personal considerations (how much time can I devote to this business?). An agent can produce analyses to inform the decision, but the seller decides.
E-commerce 2026 is not the end of the human in e-commerce. It's the end of the human in the execution of e-commerce. The human moves up to the strategic level, where their added value is real.
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