Catalog-aware, not generic
Agents trained on your products, policies, and exceptions — so they answer where off-the-shelf bots escalate.
Proof layer Deflection measured against your real ticket history, not a demo set.
E-commerce
AI that works the way your store does
Custom support agents, order operations, and review workflows — catalog-aware, wired into your commerce stack, with a verifiable deflection rate.
- Catalog-aware AI
- Verified deflection
- Order automation
- Multi-store rules
ShopifyHelpdeskERP3PL / WMS CaptureCheckoutVerifyPayment & stockFulfill3PL dispatchResolveSupport & returns
Order Ops
Live What we build
4 commitments, 1 senior bench.
Every commerce build ships against the same four constraints — no exceptions for peak season or launch deadlines.
Wired into the whole order
Storefront, helpdesk, ERP, payments, and 3PL connected end to end — one order, one pipeline, no swivel-chair lookups.
Proof layer Integration scoped and tested against your sandbox, not a mock.
Automation with human gates
Refunds, exceptions, and anything above threshold routes to a person, every time, with full logging.
Proof layer Gate rules and transcripts reviewable by your ops lead.
Senior engineers, weekly demos
A named senior lead owns the outcome. You see working software weekly, not a status deck monthly.
Proof layer Senior review on every merge; 30-day exit on embedded pods.
Integration reality
Shopify and commerce platform APIs Zendesk-class helpdesks ERP and inventory Payment and returns platforms
Where it pays back
The ops patterns we see in every store.
- Workflow · 01
Bots break on policy nuance
Generic tools escalate exactly where your margin lives.
Agents that know your catalog and exceptions
- Workflow · 02
Orders span systems
One order touches 4 platforms and no tool sees all of them.
Order operations wired end to end
- Workflow · 03
Multi-store rules diverge
Every region has its own returns policy and its own workaround.
Rules encoded once, gated above thresholds
Use cases
Where commerce teams put us to work.
Eight workflows where automation pays back first — each scoped, evaluated, and capped before it touches production.
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Catalog-aware support agents
Order status, sizing, and policy questions answered from your real data — exceptions escalate to a person.
Teams drowning in WISMO tickets -
Order operations automation
One order tracked across storefront, ERP, payments, and 3PL — status writes back the moment a parcel ships.
Stores where orders span 4 systems -
Returns & refund handling
Policy encoded as rules with human gates above thresholds — consistent outcomes without margin leaks.
Brands with region-specific policies -
Inventory sync
Stock levels reconciled across channels and warehouses so you stop overselling what you do not have.
Multi-channel sellers -
Multi-store rule engines
Regional pricing, tax, and returns rules encoded once and applied everywhere — no per-store workarounds.
Operators running 3+ storefronts -
Review & content workflows
Review responses, product copy, and listing updates drafted for approval — on-brand and at catalog scale.
Lean marketing teams -
Payment & fraud exceptions
Failed payments, chargebacks, and flagged orders triaged and routed with the paper trail attached.
Finance teams working from inboxes -
Commerce ops reporting
Deflection rate, fulfillment time, and return reasons on one dashboard your ops lead actually opens.
Leaders flying blind on ops
Case studies
Proven solutions. Real-world impact.
How our teams solve critical commerce and order-operations problems through strategy, engineering, and innovation.
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40% faster order fulfillment E-Com Console – Custom E-Commerce Admin Panel what we built Retool
A Retool-built admin panel centralizing fulfillment, inventory, and support that ran across spreadsheets and disconnected tools.
Read story -
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30% fewer support tickets AI-Driven Customer Support Automation
A workflow reading Gmail, pulling Shopify order context, and drafting on-brand replies with Gemini — no manual order lookups.
Read story -
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1 system for fulfillment M7 WMS – Warehouse Management for Wine Fulfillment
A warehouse management system running wine fulfillment operations from receiving through dispatch.
Read story -
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1 stack, storefront to checkout Heartfelt Online Store for Pet Lovers with Lovable
A pet-lovers online store shipped fast on Lovable, with catalog, checkout, and content on one stack.
Read story -
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1 national brand presence SKYWORTH Pakistan – Consumer Electronics Brand Website
A consumer-electronics brand website presenting the full product catalog for a national market.
Read story -
Capabilities
6 service lines, 1 senior bench.
Six connected capabilities, delivered as one seamless service.
See full capability matrix →AI consulting and readiness
A build decision in 2 weeks, not a slide deck.
AuditUse-case scoringRoadmap
Explore AI readiness Agentic engineering
Agents with evaluations, approval gates, cost ceilings, and a full audit trail.
RAGTool useVoiceGovernance
Explore agentic engineering Forward deployed engineering
A named senior engineer inside your team, owning an outcome.
EmbeddedWeekly demoNamed lead
Explore forward deployed engineering Custom software, web and mobile
Specification first, AI-assisted, senior review on every merge.
Next.jsNestJSFlutterReact Native
Explore custom software Automation and systems
Workflows wired and instrumented, with the payback counted.
n8nMakeCRMBack office
Explore automation Data and platform
Pipelines and lineage your AI can actually rely on.
WarehouseETLLineageObservability
Explore data & platform FAQ
The questions store operators ask first.
Straight answers before the first call. If yours is not here, ask it on the call — we answer the hard ones first.
Ask the hard one Why not just a Shopify app?
Use one when it fits — we will tell you when it does. Custom starts paying under three conditions: your policies have real nuance, one order spans multiple systems, or you run multiple stores with diverging rules.
How do you handle returns and refund policy?
Policy is encoded as rules with human gates above thresholds. The agent resolves the routine cases; anything above the limit routes to a person with full context and logging.
Do you support multi-store setups?
Yes — and it is usually the reason custom wins. Regional rules are encoded once and applied per store, instead of every region maintaining its own workaround.
How do you measure deflection?
Against your real ticket history, not a demo set. We instrument the agent so you can verify what it resolved, what it escalated, and why — a number your ops lead can audit.
Can it survive peak season?
Builds are load-tested against your peak volumes before launch, and human-gate thresholds are tunable so you can tighten or loosen automation as volume spikes.
Start the conversation
Findoutifyouhave
one of the 3 reasons
Tell us where the app stopped fitting. We will tell you if it is a custom problem or a 90%-covered one.
30 minutes the engineer who leads delivery no deck, no pitch