Retail & E-commerce

Retail automation isn't just chatbots. It's cleaner product data, faster support, fewer order exceptions, and smarter inventory decisions. We automate the operations so merchandising and marketing can focus on growth.

Where retail operations leak margin

Small inefficiencies, repeated thousands of times.

  • Product data inconsistent across website, marketplace, and ERP
  • Return reasons captured as free text nobody can report on
  • Order exceptions (address issues, backorders, payment fails) handled manually
  • Supplier invoices reconciled against POs line by line
  • Support tickets duplicated because customers message on three channels
  • Marketplace listings drift out of sync with the primary catalogue

Results That Matter

Real impact from automation solutions delivering measurable business value

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Canadian
Owned & Hosted

Data residency for regulated brands

3-8 wks
Typical Timeline

From discovery to a working automation

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Any
Platform

Shopify, Magento, BigCommerce, custom

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Human
Review

Edge cases always land with a person

Key Features & Benefits

Comprehensive automation solutions designed specifically for your industry

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Product Data Enrichment

Generate consistent product titles, descriptions, attributes, and SEO content across your catalogue โ€” grounded in your brand voice and spec sheet, not generic AI output.

  • Brand-voice consistent descriptions
  • Attribute extraction from supplier data
  • SEO-optimized titles and meta
  • Bulk updates with review queue
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Product Finder / AI Shopping Assistant

A chatbot grounded in your catalogue that guides customers to the right product โ€” not a generic LLM inventing SKUs. Cites product pages and falls back to human support cleanly.

  • Grounded in your live catalogue
  • Filter-aware recommendations
  • Cited product pages in every reply
  • Handoff to human support on escalation

Return Reason Classification

Free-text return reasons auto-classified against a structured taxonomy โ€” so merchandising finally has the data to make real decisions about sizing, descriptions, and vendors.

  • Structured taxonomy per category
  • Theme and sentiment analysis
  • Vendor and SKU-level insights
  • Trend alerts for merchandising
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Order Exception Routing

Address issues, backorders, payment failures, and high-risk orders routed to the right queue with context โ€” not left for the night-shift to hunt down.

  • Exception-type routing
  • Customer and order context in queue
  • SLA tracking on resolution
  • Customer comms drafts

Customer Support Automation

Unified intake across email, chat, social, and marketplace messaging โ€” with drafted responses grounded in your policies and order data for agent review.

  • Unified omnichannel inbox
  • Order and account context in every ticket
  • Policy-grounded draft replies
  • Agent review before send
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Marketplace Listing Generation

Generate and maintain listings across Amazon, Walmart, eBay, and Shopify Marketplace from your primary catalogue โ€” with platform-specific requirements handled automatically.

  • Platform-specific formatting
  • Category and attribute mapping
  • Inventory sync across channels
  • Listing compliance checks

Automation workflows we build

Reusable patterns we adapt to your specific tools and processes

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Product data enrichment

Brand-voice descriptions, attributes, and SEO copy.

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AI product finder

Grounded chatbot guiding customers to the right SKU.

Return reason classifier

Free-text returns mapped to structured taxonomy.

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Order exception queue

Address / payment / backorder issues routed with context.

Inventory alerting

Min/max triggers tied to supplier lead time.

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Supplier invoice matching

PO-to-invoice match with exception queue.

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Review mining

Customer reviews summarized by product and theme.

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Marketplace listing sync

Primary catalogue to Amazon, Walmart, eBay.

Transform Your Challenges Into Opportunities

See how automation solves common industry pain points

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Problem

Product data drifts across platforms and kills conversion

Solution

Centralized enrichment with brand-voice descriptions and platform-specific sync

Problem

Return reasons are unstructured and useless for reporting

Solution

Auto-classification against your taxonomy with trend alerts

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Problem

Exceptions pile up overnight and land with the wrong person

Solution

Exception routing with context and SLA tracking

Problem

Support tickets arrive from five channels with no shared view

Solution

Unified inbox with policy-grounded drafted replies

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Problem

Marketplace listings are weeks out of date

Solution

Primary catalogue sync to Amazon, Walmart, eBay, Shopify Marketplace

The Transformation

See the difference automation makes

Before Automation

  • Product data inconsistent across channels
  • Return reasons captured as unusable free text
  • Order exceptions handled by whoever sees them first
  • Support channels siloed and duplicated
  • Listings drift out of sync with the catalogue
  • Inventory reorders reactive, not predictive

After Automation

  • Catalogue consistent across web, marketplace, and ERP
  • Return data structured for merchandising decisions
  • Exceptions routed with context and SLAs
  • Support unified with grounded drafted replies
  • Marketplace listings synced to the primary catalogue
  • Reorder alerts tied to lead time and velocity

Systems we connect for retail

The commerce stack that runs your store.

Ecommerce Platforms
Shopify Magento / Adobe Commerce BigCommerce WooCommerce Custom storefronts
ERP & Accounting
NetSuite Microsoft Dynamics Sage QuickBooks Commerce
Marketplaces
Amazon Seller Central Walmart Marketplace eBay Shopify Marketplace
Support & CRM
Gorgias Zendesk Freshdesk Klaviyo Mailchimp

Don't see your system? If it has an API, a CSV export, or an email inbox, we can probably work with it.

AI with guardrails

We use AI for messy information. We use deterministic automation for actual business execution. Every workflow is controlled, logged, and reviewable.

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Grounded Responses

Customer-facing AI only answers from your catalogue and policies. Cites product pages and escalates when unsure.

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Human Review

Support agent drafts, product description changes, and marketplace updates go through a review queue before publish.

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Canadian Hosting

Canadian-hosted deployments available for brands with data residency requirements.

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Audit Trail

Catalogue changes, support actions, and inventory movements logged for review.

Why Choose Us

Built on expertise, trust, and proven results

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Ops First, Not Just Chat

We don't sell 'an AI chatbot.' We automate catalogue, returns, exceptions, support, and inventory โ€” the work that quietly eats margin.

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Grounded Customer-Facing AI

Any AI a customer interacts with is grounded in your catalogue and policies, cites sources, and hands off to a human when it doesn't know.

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Works With Your Platform

Shopify, Magento, BigCommerce, WooCommerce, custom โ€” we connect what you already run, not force a replatform.

Frequently Asked Questions

Will AI answer customer questions without human review?

Only for narrow, low-risk scenarios you opt into โ€” like 'what's your return policy?' with a grounded answer from your policy page. Anything involving refunds, exceptions, or ambiguity goes to an agent with a drafted response they review. You set the automation threshold.

How does this integrate with Shopify?

We build around Shopify as the system of record โ€” enriching products, routing exceptions, grounding chatbots in your live catalogue, and keeping marketplace channels in sync. We don't replace Shopify.

Can this really improve our return data?

Yes. Free-text return reasons auto-classify against a category-specific taxonomy (sizing, quality, expectations, shipping), giving merchandising real, reportable data. Over time, you see patterns by vendor, SKU, and category that were previously invisible.

What about marketplace compliance โ€” Amazon, Walmart?

Marketplace requirements (category attributes, compliance fields, image specs) are handled per platform. Listings generated from your primary catalogue include the platform-specific fields each requires, with compliance checks before publish.

What's a typical first project for retail?

Product data enrichment, return classification, and support inbox unification are the most common starting points. Most brands are live with one workflow in 3 to 8 weeks and add the next once it's earning its keep.

Clean Data, Faster Support, Fewer Exceptions

Let's map the retail operations workflow that's costing you the most margin and build an automation that gets your team back to growth work.