E-commerce Operators
Cut support volume. Recover margin. Move orders without adding headcount.
Your team should not be spending half the day answering order-status tickets, copying tracking numbers, checking supplier invoices, rebuilding margin reports, or manually chasing abandoned carts.
MVP.dev builds AI automation systems for e-commerce brands that plug into the tools you already use, including Shopify, Shopify Plus, BigCommerce, WooCommerce, Adobe Commerce, Amazon Seller Central, Klaviyo, Gorgias, Zendesk, Recharge, ShipStation, ShipBob, Loop Returns, NetSuite, QuickBooks Online, and Triple Whale.
We help e-commerce teams reduce repetitive support, recover lost carts, catch margin leaks, speed up order operations, and give managers cleaner visibility into what is actually making money.
Production-ready in 3 to 4 weeks.
Get a Workflow Fit Assessment See the E-commerce Automation DemosBuilt for brands with demand, but too much manual drag behind the scenes
This is for growing DTC brands, Shopify Plus stores, marketplace sellers, subscription brands, multi-channel retailers, and lean e-commerce teams that need more operating capacity without turning every growth problem into another hire.
You are likely a strong fit if:
- Your support team is buried in order-status, returns, refund, and product questions
- Abandoned carts and product-fit questions are not followed up quickly enough
- Margin reporting depends on exports from Shopify, ad platforms, shipping tools, and accounting systems
- Supplier invoices, 3PL charges, shipping fees, or marketplace deductions are reviewed manually
- Your team uses Shopify, Klaviyo, Gorgias, ShipStation, NetSuite, or a similar commerce stack
- You want faster workflows inside your current tools, not a disruptive platform migration
If revenue is growing but your team is still handling support, reporting, reconciliation, and customer follow-up by hand, there is likely margin and time trapped inside the workflow.
The fastest wins we usually find
Order-status and product support without ticket pileups
Most e-commerce teams do not need every WISMO ticket answered by a person. They need the routine answers handled quickly and the risky issues escalated.
We build customer support workflows that search your policies, product details, shipping rules, order data, and prior answers to draft accurate replies or respond directly where approved.
The goal is simple:
- Order-status questions answered in seconds
- Return and refund questions handled from your policies
- Product questions answered with cited sources
- High-risk tickets escalated to a human before anything goes wrong
For many stores, this can reduce repetitive support workload by 20 to 30 percent and give agents 8 to 15 hours a week back during normal volume, with larger savings during launches and holiday spikes.
See the Customer Support Agent Demo →Cart recovery and product guidance before the shopper leaves
A shopper who cannot find the right size, bundle, subscription option, or shipping answer often leaves without opening a ticket.
We build store concierge workflows that help customers find products, compare options, check order status, answer policy questions, and trigger Klaviyo recovery flows when someone abandons a high-intent cart.
Your store can respond while the buyer is still active:
- Product finder by use case, size, budget, or preference
- Order-status lookup from Shopify
- Abandoned-cart follow-up through Klaviyo
- Human handoff for VIP or complex questions
The goal is not a chatbot for novelty. The goal is fewer lost carts, faster answers, and more recovered revenue from traffic you already paid to acquire.
See the Shopify Concierge Demo →Margin reporting without spreadsheet rebuilding
Revenue is easy to see. True contribution margin is usually hiding across ad spend, discounts, shipping, returns, COGS, and marketplace fees.
We build operating dashboards that pull from systems like Shopify, Amazon Seller Central, Klaviyo, GA4, Meta Ads, Google Ads, ShipStation, NetSuite, QuickBooks Online, and Triple Whale.
Each weekly view can show:
- Gross revenue versus contribution margin
- Return rate by product or collection
- Shipping and fulfillment cost changes
- Ad spend and customer acquisition movement
- The three issues most likely to hurt cash this week
This can save operators 5 to 10 hours a week in manual reporting and help catch margin leaks before they become end-of-month surprises.
See the Executive Dashboard Demo →Supplier, 3PL, and shipping invoice checks before margin disappears
Small invoice errors are easy to miss when the team is busy. Freight, storage, pick-pack fees, and supplier charges can quietly eat the month.
We build review workflows that compare supplier invoices, 3PL bills, shipping charges, purchase orders, receiving data, contracts, and expected rates before the bill is approved.
Your team gets a short review memo:
- Does this charge match the contract or rate card?
- Does the quantity match what was received or shipped?
- Is the vendor known and approved?
- Should this be paid, reviewed, or escalated?
For brands with meaningful fulfillment or supplier volume, catching even a few recurring errors can save $2,500 to $10,000 per month while reducing manual review time.
See the Invoice Due Diligence Demo →Your current tools stay in place
We build the workflow layer around your existing commerce environment.
Supported and common systems include:
Your storefront stays where it is. Your support desk stays where it is. Your fulfillment, returns, accounting, and marketing tools stay in place.
We add the workflow layer that reads, routes, reviews, summarizes, answers, and writes back only where appropriate.
Three focused offers
Support Deflection and Order Desk System
For brands losing too many hours to repetitive tickets, order-status questions, returns, refunds, and product support.
Includes
- Support workflow mapping
- Policy and help-center ingestion
- Order-status lookup
- Return and refund triage
- Drafted replies with human review
- Escalation rules
- Support performance dashboard
Best for
- DTC brands with high ticket volume
- Lean support teams
- Stores with seasonal spikes
- Brands using Gorgias, Zendesk, Shopify, or Loop Returns
Revenue Recovery and Store Concierge System
For stores losing buyers to slow answers, confusing catalogs, product-fit questions, and weak abandoned-cart follow-up.
Includes
- Product finder workflow
- Storefront concierge
- Order lookup
- Klaviyo cart recovery triggers
- Customer handoff rules
- VIP shopper routing
- Conversation and conversion reporting
Best for
- Shopify and Shopify Plus stores
- Catalog-heavy brands
- Subscription brands
- Stores spending heavily on paid traffic
Margin Leak and Operations Dashboard
For operators who need one clean view of revenue, returns, fulfillment costs, ad spend, inventory risk, and contribution margin.
Includes
- Commerce KPI dashboard
- Weekly operator narrative
- Return and refund summaries
- Shipping and fulfillment cost alerts
- Supplier and 3PL exception tracking
- Recommended action summaries
- Optional finance review workflow
Best for
- Multi-channel sellers
- Brands with 3PL or freight complexity
- Operators managing cash tightly
- Teams tired of rebuilding weekly reports
Start with one workflow. Prove the ROI. Expand from there.
You do not need a full AI transformation project to get value.
The safest path is to pick one painful workflow, automate it, measure the results, and then expand once the system proves itself.
Most e-commerce teams start with one of these:
- Order-status and support ticket triage
- Returns and refund policy handling
- Abandoned-cart recovery and product guidance
- Margin and contribution reporting
- Supplier, 3PL, and shipping invoice review
- Marketplace and fulfillment exception routing
This keeps the first project focused, measurable, and easier to approve.
Typical engagement range
Most e-commerce automation builds start with a focused pilot.
Starter Workflow Pilot
Best for one high-value workflow
$7,500 to $15,000
Commerce Automation Buildout
Best for multiple workflows or multi-channel operations
$15,000 to $40,000
Ongoing Optimization and Support
Best for brands that want continuous improvement, reporting, new workflows, and support
$1,500 to $7,500 per month
Final pricing depends on workflow count, platform access, order volume, catalog complexity, support rules, fulfillment data, approval requirements, and whether the workflow writes back into production systems.
The first step is not a giant commitment. It is a workflow fit assessment that identifies the fastest path to measurable ROI.
What waiting costs
Manual e-commerce workflows do not just waste time. They quietly tax margin and slow the team down.
Every month you delay:
- Agents answer the same order-status and policy questions again and again
- Paid traffic leaks because product questions are not answered fast enough
- Operators rebuild reports instead of acting on them
- Supplier, shipping, and 3PL billing issues are caught late
- Returns and refunds consume more staff time than they should
- Growth requires more headcount instead of better operating leverage
If your store is growing but the back office is already stretched, automation is not a side project. It is how you protect margin while increasing capacity.
How the engagement works
Week 1: Find the highest-value leak
We review your support flow, cart recovery process, returns workflow, fulfillment exceptions, supplier review process, reporting flow, or marketplace operations.
You get:
- Workflow map
- Automation opportunity ranking
- KPI targets
- Fixed-scope recommendation
- Implementation plan
We define success before building anything.
Week 2: Build against your real workflow
We connect to the systems, policies, order data, product catalog, support history, fulfillment records, or reporting exports needed for the selected workflow.
We build around your actual commerce operation, not a generic store template.
Week 3: Test, tune, and review
We run real historical examples through the workflow in staging. For support workflows, this can include prior tickets. For invoice or margin workflows, this can include recent supplier, shipping, fulfillment, and order data.
You see:
- Accuracy results
- Exceptions
- Failure cases
- Confidence thresholds
- Review queue behavior
- Estimated time or cost savings
Nothing goes live until the workflow is validated.
Week 4: Deploy, monitor, and support
We deploy the workflow, train the relevant users, monitor initial results, and support the first production cycle.
You get:
- Production workflow
- Dashboard or review queue
- Documentation
- Admin handoff
- 30 days of support
- Recommendations for the next workflow
Most builds are designed to pay back in 6 to 8 weeks of live use, depending on order volume, support volume, labor cost, margin impact, and workflow scope.
Built for customer, payment, and order data
E-commerce automation has to protect customer data, stay out of unnecessary payment scope, and be reviewable when decisions affect refunds, orders, or customer communication.
Our systems are designed around:
- Least-privilege access
- Encrypted data in transit and at rest
- No storage of raw credit card data
- PCI-aware system design
- Role-based access controls
- Audit logs for AI-assisted decisions
- Human review thresholds for refunds, cancellations, and escalations
- Customer PII handling aligned with GDPR, CCPA, and internal policies
For brands with PCI, SOC 2, GDPR, CCPA, marketplace policy, or customer privacy requirements, we design the implementation around your security requirements from the start.
Example outcomes
| Workflow | Before | After |
|---|---|---|
| Order-status support | Agents answer repetitive WISMO tickets manually | Routine order questions answered or drafted with escalation rules |
| Cart recovery | High-intent shoppers leave with unanswered product questions | Product guidance and Klaviyo recovery triggered while intent is fresh |
| Margin reporting | Exports from Shopify, ads, shipping, and accounting rebuilt by hand | Weekly dashboard with margin narrative and action list |
| Returns and refunds | Policy checks and customer replies handled one ticket at a time | Policy-based triage with human review for edge cases |
| Supplier and 3PL invoices | Charges reviewed manually against POs, rate cards, and shipments | One-page exception memo before approval |
Why MVP.dev
MVP.dev builds AI business operating systems, internal tools, and automation layers for companies that need real operational outcomes, not AI experiments.
You get:
- 25 years of software architecture and delivery experience
- AI automation strategy and implementation under one roof
- Practical systems built around existing workflows
- Human-in-the-loop design where accuracy matters
- Clear KPIs before development starts
- Production-minded delivery, not prototype theater
The goal is not to impress your team with AI.
The goal is to reduce support drag, recover revenue, protect margin, and help the brand do more with the people and systems it already has.
Building the operating playbook too?
Our partners at osforyour.business/ecommerce cover the org-design, process, and people side of running a modern e-commerce business. We handle the execution layer that makes it run, so the system they help you design actually delivers the hours and margin back.
Frequently Asked Questions
How much time or money can this save?
It depends on order volume, ticket volume, and workflow scope, but common first wins are 8 to 15 support hours recovered per week, a 20 to 30 percent reduction in repetitive tickets, 5 to 10 hours saved on weekly reporting, or $2,500 to $10,000 per month in avoided supplier, shipping, or 3PL billing leakage. During Week 1, we define the target KPIs before the build starts.
Will this work with Shopify, Klaviyo, Gorgias, or ShipStation?
Yes. We build around your existing stack. For many e-commerce teams, that includes Shopify or Shopify Plus, Klaviyo, Gorgias or Zendesk, ShipStation or ShipBob, Loop Returns, Recharge, NetSuite, QuickBooks Online, and reporting tools like Triple Whale or GA4.
Will this replace our store platform or help desk?
No. The goal is to improve the workflow around your current tools, not force a migration. Your storefront stays in Shopify, BigCommerce, WooCommerce, or Adobe Commerce. Your support team keeps using Gorgias or Zendesk. The automation layer reads, routes, summarizes, answers, and writes back only where appropriate and approved.
Can this handle returns, refunds, and customer policy questions?
Yes. We can build workflows grounded in your actual return policy, warranty rules, shipping rules, product data, and customer history. Sensitive actions like refunds, cancellations, replacements, or exceptions can be routed to a human review queue before anything is approved.
Can this help with marketplace and multi-channel operations?
Yes. Multi-channel sellers can use workflows that pull from Shopify, Amazon Seller Central, Walmart Marketplace, shipping tools, inventory systems, and accounting platforms. The goal is to surface exceptions, reconcile activity, and give operators one cleaner view of what needs attention.
Is AI talking directly to customers?
Only if you want it to, and only inside approved boundaries. Many teams start with drafted replies for human review. Once the workflow proves accurate on routine questions, you can choose which topics are safe for direct response and which topics should always escalate.
What is the first step?
Start with a workflow fit assessment. We identify the workflow with the highest ROI potential, estimate the time, revenue, or margin impact, and recommend a focused pilot. You will know what should be built, why it matters, what it should cost, and how success will be measured before committing to a full implementation.
Get the hours and margin back
If your team is still relying on manual ticket triage, spreadsheet-based margin reporting, slow cart follow-up, or hand-checked supplier and fulfillment invoices, there is likely a faster way to run the operation.
MVP.dev can help you identify the highest-value workflow, build the automation layer, and deploy it inside your current e-commerce stack.
Get a Workflow Fit Assessment See the E-commerce Automation Demos