BLOCKIUM/ LABS
Industry

AI Automation for Ecommerce Brands

Support and operations automation that scales with your order volume, not your headcount or a per-seat subscription.

01 The problem

Ecommerce support volume doesn't follow a 9-to-5 pattern — it spikes with promotions, follows shipping delays, and never fully stops. Staffing for peak volume around the clock is expensive, and generic chatbot widgets usually can't check a real order status or process a return, leaving customers to email and wait anyway.

Growing order volume also means growing operational overhead: inventory sync issues, return processing, and customer questions about products that a static FAQ page doesn't actually answer well.

Most ecommerce platforms' built-in automation tools are generic across every store on the platform, which means they rarely reflect your specific policies, product catalog nuances, or brand voice.

02 How we solve it

We build support automation that checks real order and shipping status, processes returns within your actual policy, and answers product questions grounded in your real catalog — not a generic script.

Because the system is wired directly into your store's platform and order data, it scales with order volume rather than requiring more seats or agents as you grow.

We also design clear escalation for disputes or anything outside policy, so customers get a human when it actually matters, with full order context passed along.

03 Sample workflow

What shipping this actually looks like.

01

Audit your support volume + common requests

We identify what customers actually contact you about most often.

02

Scope + fixed quote

A written scope and firm price based on your platform and order volume.

03

Connect order + catalog data

We integrate directly with your store platform for real order and product data.

04

Build returns + support flows

Automation handles common requests within your actual policy.

05

Test against real order scenarios

We validate against real order states — shipped, delayed, returned — before launch.

06

Launch + monitor resolution rate

We track how much support volume is actually resolved without a human and tune accordingly.

Tools we typically useEcommerce platform integration (Shopify-class), Order + shipping status lookup, Returns automation within policy, Product catalog grounding
TimelineMost ecommerce automations ship in 2–3 weeks depending on platform and catalog size.
PricingOrder support automation typically runs $3,000–$7,000; adding returns processing and catalog Q&A brings most builds to $5,000–$10,000.
04 FAQ

Common questions.

Can it check real order and shipping status?

Yes — that's usually the single highest-volume request, and it's grounded in your actual order data rather than a generic response.

Can it process returns automatically?

Within your defined policy, yes — anything outside policy or genuinely ambiguous escalates to a human with full order context attached, not just a ticket number.

Does it work with our specific ecommerce platform?

We integrate with most common platforms, or build a direct connection for a custom storefront.

Will it answer product questions accurately?

We ground answers in your real catalog data, so sizing, materials, and availability questions are answered from what's actually true at that moment, not a generic guess or stale cached description.

Does this scale during big promotions or sales?

Yes — since it's not per-seat pricing, a volume spike during a sale doesn't require scrambling to staff up.

Can it handle multiple sales channels?

If you sell across more than one channel — your own storefront, a marketplace, social commerce — we scope integration to whichever platforms actually generate support volume for you, rather than assuming everyone sells exactly the same way across every channel.

What happens with an angry or disputed order?

We build clear escalation rules so disputes and anything emotionally charged go to a human quickly, rather than trying to force a resolution through automation that will likely frustrate the customer further.

Can it handle pre-sale questions, not just post-purchase support?

Yes — sizing, compatibility, and availability questions before checkout are common additions, and answering them accurately from real catalog data can reduce cart abandonment, not just support load.

Do we need developer resources on our end to maintain it?

No — once launched, it's a working system we support, not a tool your team needs engineering time to keep running.

How does this handle subscription or recurring-order businesses specifically?

Subscription ecommerce has its own common questions — skip a shipment, change a delivery date, pause a plan — that a generic support bot usually doesn't resolve directly. We build those as real self-service actions grounded in your actual subscription system, not just informational answers, so customers can actually complete the action themselves instead of being told how to do it manually or waiting on a reply.

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