The catalogue reorganizes itself
around what is actually selling
Most store catalogues get organized once, at launch, and then drift: a best-seller sits three clicks deep, an out-of-stock item keeps a prime homepage slot, a new arrival with no reviews yet gets buried. We build an agent that reads your actual sales and stock data and keeps merchandising decisions aligned with it, every day, not once a quarter.
The role today
A store’s homepage and category structure usually get carefully designed once, often at launch, and from that point on they drift quietly away from reality. A product that was a flagship item a year ago keeps its prime placement long after a newer product has quietly overtaken it in sales, and nobody notices until a full catalogue audit, the kind that routinely turns up a large share of products sitting in the wrong category or with no category at all.
Stock-outs make it worse in a specific, avoidable way: a product that sells out keeps its homepage slot and its ad spend keeps sending traffic to it, so the store pays to disappoint customers who click through to a sold-out page. Fixing this by hand means someone checking stock against placement regularly, which competes with everything else a small team has to do.
What the agent takes over
The agent keeps category assignment, homepage placement and badges, new, trending, low stock, aligned with actual sales and stock data rather than a layout decided once and left alone. A product that sells out gets demoted from prime placement immediately, automatically, so traffic and ad spend are not pointed at something customers cannot buy, and a product quietly outperforming its current placement gets surfaced instead of staying buried three categories deep.
Cross-sell and bundle suggestions come from actual purchase patterns in your own store, not a generic “customers also bought” that recommends unrelated items, and a weekly report shows what moved, why, and what measurable effect it had, which turns merchandising from a one-time design decision into something a small team can actually steer week to week.
What stays with humans
Brand strategy, seasonal campaigns, and any placement decision that is deliberately not about current sales data, launching a new line, running a loss-leader promotion, stay with the merchandising team. The agent handles the continuous, data-driven adjustments; a human still decides what the store is trying to achieve this quarter.
Guards
Every placement change is logged with the sales or stock data behind it, so a merchandiser can audit why something moved, and manual overrides always take precedence over the automated rules. A kill switch freezes the current layout in one message if a data feed looks wrong, rather than letting bad data drive visible changes to the live store.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Agency runs it | from $3,000 + support plan | One store, placement and badge rules, weekly report, 30 days of tuning | 4 to 6 weeks |
| Full control, handover-ready | from $5,100 | Source code, your infrastructure and model keys, documentation for your own team to extend it | 5 to 7 weeks |
Related
Pair this with fintech support and logistics dispatcher for the rest of an e-commerce operation, or see the catalogue-focused automations SKU rationalisation and product recommendations. Full packages are on the AI agents service and analytics service; the Thailand D2C rebuild case study shows the 81%-miscategorised finding first-hand, and the digital goods marketplace case study shows the pricing-guard side of the same discipline.
Want your homepage to actually reflect what is selling? Get in touch and we will look at your current catalogue on the first call.
FAQ
How much does an e-commerce merchandising agent cost?
From $3,000 for one store and one platform integration, live in 4 to 6 weeks. Multi-store or marketplace-wide merchandising usually starts around $5,500.
How long until it is live?
4 to 6 weeks: connecting your store platform and defining the rules behind badges and placement takes the first stretch, then testing against real traffic before full handover.
Which channels and tools does it work with?
Shopify, WooCommerce and most major store platforms, reading sales, stock and catalogue data directly; it adjusts placement and tagging within your existing platform rather than requiring a separate storefront.
What if it demotes something that should stay visible for a reason?
Manual overrides sit above the automated rules for promotions, seasonal pushes or strategic placement, so a merchandiser can always pin something regardless of what the sales data currently says.
What happens to sales and customer data, is it secure?
Sales, stock and catalogue data stays inside your own store platform; the agent reads and writes through your existing admin access and does not export data anywhere else.