Support, merchandising and retention that run while you sleep.
Your support inbox grows faster than your revenue, and every 'where is my order' ticket costs money a bot could have handled.
60-80%
of tier-1 tickets deflected
$1-2
AI resolution vs $6-12 human ticket
4-6 wks
typical time to live
8
documented automations for this sector
Where e-commerce teams lose hours, and what replaces it.
Each one is a system we have specified and built before.
WISMO & order-status agent
- The manual process today
- Half of all tickets are 'where is my order', answered manually by copy-pasting tracking links.
- What we build
- An agent connected to your store and carrier APIs that answers in-chat and by email, with real tracking data and proactive delay notices.
- Typical impact
- 50-70% of support volume deflected; first response drops from hours to seconds.
Returns and refunds triage
- The manual process today
- Return requests arrive in free text and get manually judged against policy, inconsistently.
- What we build
- AI reads the request, checks order date, item condition and policy, auto-approves clean cases and escalates edge cases with a recommendation.
- Typical impact
- 70% of returns auto-processed, policy applied consistently, fraud patterns flagged.
Product listing and SEO copy generation
- The manual process today
- Every new SKU needs titles, bullets, meta descriptions and alt text, written by hand.
- What we build
- A pipeline that takes supplier data plus product photos and drafts channel-specific listings in your brand voice, queued for one-click review.
- Typical impact
- Catalog launches go from days to hours; 10x more long-tail keyword coverage.
Review mining and product intelligence
- The manual process today
- Thousands of reviews and support chats hold the reason for churn, but nobody reads them.
- What we build
- Weekly clustering of reviews, tickets and returns into themes with severity, linked back to SKU and batch.
- Typical impact
- Quality issues caught weeks earlier; roadmap and PDP copy driven by real objections.
Abandoned-cart and winback sequences with real personalisation
- The manual process today
- Generic 'you left something behind' emails with a blanket discount that erodes margin.
- What we build
- Per-customer message generation using browsing, past orders and objection history, with discount logic tied to predicted margin.
- Typical impact
- 15-30% lift in recovery revenue with lower average discount.
Supplier and inventory exception watch
- The manual process today
- Stockouts and late POs are discovered when a customer complains.
- What we build
- An agent that watches inventory velocity, supplier confirmations and inbound shipments, then raises exceptions with a suggested action.
- Typical impact
- Stockouts caught days earlier; buyer time shifted from checking to deciding.
Influencer and UGC pipeline
- The manual process today
- Sourcing creators, chasing deliverables and tracking usage rights is a spreadsheet job.
- What we build
- Automated creator sourcing, personalised outreach, contract generation and deliverable chasing with a live status board.
- Typical impact
- 3-5x more creators managed per marketer.
Marketplace and ad-account anomaly alerts
- The manual process today
- Ad spend or marketplace performance breaks quietly on a weekend.
- What we build
- Daily anomaly detection across ROAS, CPA, buy-box and listing health with plain-English explanations of what changed.
- Typical impact
- Wasted spend caught within a day instead of a fortnight.
What e-commerce teams ask us.
We scope agents to what they can verify. Order data comes from your store API, policy answers come from your own documents, and anything outside that scope is escalated with a drafted reply rather than guessed at.
In practice it removes the repetitive tier-1 volume so the same team handles growth without new hires, and spends its time on the conversations that affect retention.
Audits are a fixed fee and are credited against a build. Single-workflow builds typically land in the low five figures, multi-workflow programmes higher, and ongoing running and support is a fixed monthly fee. You get the number before we start, not a rolling hourly bill.
A first pilot on your real data usually runs within two to four weeks of the kickoff call. Full deployment with integrations and training normally lands between weeks four and eight.
Tell us what your e-commerce team keeps doing by hand.
Thirty minutes, no pitch deck. We map the process, tell you whether automation pays back, and give you a rough cost before you commit to anything.