Edison AI
RETAIL & ECOMMERCE

The brand's beautiful. The back end needs to catch up.

Australian D2C brands and retailers run gorgeous storefronts on operating layers held together with goodwill. Support tickets pile up. Product content takes too long. Campaign reports compile by hand. Inventory visibility lags. AI compresses the back end so the brand can scale without losing its margin.

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The pain right now
  • Support inbox ballooning, response times slipping, reviews trending down
  • Product launches gated on copy and listing prep
  • Weekly trading numbers compiled the long way, every week
What changes after we build
  • Support deflection and faster TTR, with brand voice intact
  • Product content engine: spec sheet to listing-ready in minutes
  • Live trading dashboard with AI-written weekly trading note
Where AI creates leverage

The highest-leverage workflows to automate first.

Start where manual work is slow, repetitive, and expensive to get wrong.

  • 03 · Workflow

    Support

    Current pain
    High volume tickets
    AI-enabled improvement
    First-response drafter plus deflection
    Impact: Tier-1 deflection: 40–60%
    Service: AI Agents
View all Retail workflows10
  • Abandoned cart

    Manual drag · Generic recovery

    First AI agent · Personalised abandoned cart agent

    AI Marketing & Search VisibilityRecovery rate: +20–40%
  • Catalogue

    Manual drag · Slow listing prep

    First AI agent · Product description engine

    AI Marketing & Search VisibilityTime-to-listed: days → minutes
  • Support

    Manual drag · High volume tickets

    First AI agent · First-response drafter plus deflection

    AI AgentsTier-1 deflection: 40–60%
  • Trading reporting

    Manual drag · Manual weekly compile

    First AI agent · Live trading dashboard plus AI trading note

    Operating IntelligenceReporting: 6h → 30 min
  • Reviews

    Manual drag · Reviews unread

    First AI agent · Review summariser plus sentiment trend

    Bespoke AI SystemsInsight-to-action: weeks → days
  • Inventory

    Manual drag · Stockouts

    First AI agent · Stock exception radar

    Operating IntelligenceIncidents: −40%
  • Content

    Manual drag · Slow social and email

    First AI agent · Content repurposing engine

    AI Marketing & Search VisibilityVolume: 2–4x
  • Campaign reporting

    Manual drag · Manual report

    First AI agent · Cross-channel reporting

    Operating IntelligenceDecision lag: weeks → days
  • Segmentation

    Manual drag · Generic comms

    First AI agent · AI segment builder

    AI Marketing & Search VisibilityOpen/CTR: +5–15pp
  • Leadership

    Manual drag · No trading clarity

    First AI agent · Weekly trading brief

    Executive AI EnablementDecision speed
Training needs by role

Who needs to learn what, by the time AI lands.

Role-specific capability paths so AI lands as adoption, not enthusiasm. Every row maps to a named Edison AI training service.

  • Founder / Director

    Strategic AI fluency

    Focus
    Brand voice protection, growth-loop decisions
    Workflow
    Weekly trading brief, marketing review
    Risk
    Brand drift
    Executive AI Enablement

  • Customer support

    AI for tone-led drafting

    Focus
    First-response drafts, tier-1 deflection, sentiment routing
    Workflow
    Inbox to resolution
    Risk
    Tone, empathy
    Role-Based AI Workflow Training

  • Marketing / content

    AI content production

    Focus
    Product descriptions, channel content, lifecycle emails
    Workflow
    Asset cycle from brief to publish
    Risk
    Brand voice consistency
    AI Playbooks & Prompt Systems

  • Merchandising / buying

    AI for demand and inventory

    Focus
    SKU performance, repricing, OOS prevention
    Workflow
    Weekly merchandising cycle
    Risk
    Demand-signal accuracy
    Workflow Automation

  • Ops / fulfilment

    Workflow automation

    Focus
    Order exceptions, returns triage, freight coordination
    Workflow
    Exception management
    Risk
    Customer impact
    AI Agents

  • Whole team

    Foundations

    Focus
    Tools, prompts, safe use
    Workflow
    Daily work
    Risk
    Inconsistency
    AI Workshops for Teams
Dashboards we build for retail & ecommerce

The numbers that actually move the week.

Four operating dashboards we typically build for this industry, each tuned to a specific decision cadence rather than a generic reporting suite.

  • Dashboard 01

    Trading Brief

    Revenue, AOV, conversion, OOS items, support backlog, top 3 risks

    Sources
    Shopify/BigCommerce, Klaviyo, Gorgias, finance
    Used by
    Founder, head of growth
    Decisions improved
    What to ship, what to merchandise, where to invest

    Layout · 3 tiles + AI brief + risk strip

  • Dashboard 02

    Support Operating Board

    Tier-1 deflection, time to first response, sentiment trend, escalation count

    Sources
    Helpdesk (Gorgias, Zendesk, Re:amaze)
    Used by
    CX lead
    Decisions improved
    Where to retrain, where to script

    Layout · Funnel + sentiment heatmap

  • Dashboard 03

    Content Velocity Tracker

    Assets produced, channel coverage, on-brand audit pass rate, AI usage rate

    Sources
    CMS, internal prompt library
    Used by
    Marketing lead
    Decisions improved
    Where the team is bottlenecked

    Layout · Calendar + asset list + on-brand pass-rate gauge

  • Dashboard 04

    Inventory Pulse

    OOS SKUs, near-OOS, ageing inventory, repricing candidates

    Sources
    ERP / inventory system
    Used by
    Buyer, ops
    Decisions improved
    What to reorder, what to discount, what to drop

    Layout · Traffic-light tile grid + sortable list

What the build looks like

Visual modules that show the operating layer.

How retail & ecommerce buyers see their own workflow reflected back: the before-and-after, the dashboards, the prioritisation grids, the journeys and status boards. Every module below is mocked from a real engagement shape.

  • Module 01

    Support Deflection Flow

    Inbox ticket to resolution in five clean steps with the AI first-response drafter visible at the right gate.

    Before / after5 stages

    1. 01 Ticket in

      Auto-classified by intent

      Hits queue, waits a day

    2. 02 Triage

      Order, customer, history pre-loaded

      Agent reads from scratch

    3. 03 Draft reply

      AI draft in brand voice, ready to edit

      Typed by hand

    4. 04 Agent review

      Review and personalise in seconds

      Send and hope

    5. 05 Resolution

      Tagged, looped into product feedback

      Repeat tickets stay open

    Top line shows the AI-enabled state. Strike-through line shows what the team currently does by hand.

  • Module 02

    Trading Brief Dashboard

    Daily trading view: revenue, conversion, OOS, support backlog, with an AI-written narrative explaining the day's shift.

    Dashboard previewLive

    • $42.8k

      Revenue today

    • 2.8%

      Conversion

    • 11

      Tickets open

    AI weekly summary

    “Revenue tracking 6% above last Tuesday, driven by yesterday's email send. Conversion held despite ad spend pulling back. Two SKUs at low stock — Aussie Linen tea towel and the linen napkin set. Suggest pausing ads on those before midday.”

  • Module 03

    Content Velocity Pipeline

    Asset cycle from brief to publish across four lanes, with AI drafting at each stage and the brand-voice gate explicit.

    Pipeline view7 in flight
    • Briefed2

      • Summer linen — story angle

        Long-form · Blog

      • New tea towel collection

        Email · Hero send

    • Drafted2

      • Mother's Day gift guide

        Email + landing

      • Care guide — table linen

        Help centre

    • In review1

      • Founder note — autumn

        Email · Brand voice

    • Live2

      • Brunswick pop-up recap

        Blog · 1.2k views

      • Top-rated bedlinen

        Landing · live

  • Module 04

    Inventory Health Board

    SKUs scored across four stock dimensions. The morning view that tells the buyer where to act before customers notice.

    Status boardLive signal
    SourceStock coverSell-throughReturnsMargin
    Aussie Linen Tea Towel
    Linen Napkin Set
    Bedlinen — Sage King
    Bath Towel — Stone
    Cushion — Terracotta
    Throw — Cream Boucle
    • Steady
    • Watching
    • At risk
  • Module 05

    Lifecycle Email Map

    Customer lifecycle from first visit to repeat purchase, with AI-personalised emails at each stage and a clear trigger for each send.

    Journey rail5 touchpoints
    1. Day 0 — First visit

      Welcome email with first-order code and brand story.

      Trigger · Email captured at checkout

    2. Day 1 — Browse abandon

      AI selects the three most-viewed products and writes a reminder.

      Trigger · Returned to site twice without converting

    3. Day 7 — First purchase follow-up

      Care guide and styling ideas matched to the items purchased.

      Trigger · First order delivered

    4. Day 30 — Reorder window

      Refill prompt for consumables; new-arrival pick for fashion items.

      Trigger · Category-specific cadence

    5. Day 90 — Lapsed nudge

      Founder note + curated edit personalised to past browse.

      Trigger · No engagement in 60 days

Case for Change

From workflow visibility to sequenced AI implementation.

Want a version of these modules shaped to your retail & ecommerce setup? Tell us the stack, the workflows, and the stakeholders. We'll come back with a sequenced plan.

Talk to the team
Recommended AI agents for Retail teams10
01

First-Response Drafter (Support)

Drafts replies in brand voice for tier-1 tickets.

Why it matters: The highest-volume support saving.

AI Agents
02

Product Description Engine

From spec sheets and brand voice guide to listing-ready content.

Why it matters: Unblocks product launches.

AI Marketing & Search Visibility
03

Review Summariser

Weekly summary of review themes by product, with sentiment trend.

Why it matters: Turns VOC from background noise into decision support.

Bespoke AI Systems
04

Abandoned Cart Personalisation

Personalised cart recovery with product context and brand voice.

Why it matters: The simplest revenue recovery in ecommerce.

AI Marketing & Search Visibility
05

Weekly Trading Brief

AI-written summary of revenue, conversion, margin, traffic, with recommended next moves.

Why it matters: The new operating cadence for trading meetings.

Executive AI Enablement
06

Stock Exception Radar

Live monitor of stockouts and slow movers.

Why it matters: Avoids the from-the-customer stockout discovery.

Operating Intelligence
07

Campaign Reporting Co-pilot

Cross-channel reporting with AI recommendations.

Why it matters: Compresses the reporting and optimisation cycle.

Operating Intelligence
08

Customer Segmentation Engine

AI-built segments from behaviour and lifecycle.

Why it matters: Personalisation at scale.

AI Marketing & Search Visibility
09

Content Repurposing Workflow

One asset to email, social, blog, ads.

Why it matters: Content velocity without burnout.

AI Marketing & Search Visibility
10

AI Search Visibility System (GEO)

Optimises product and brand content for AI search engines.

Why it matters: The new shelf is the answer engine.

AI Marketing & Search Visibility
Common workflows we automate10
  • Abandoned cart.Personalised abandoned cart agent
  • Catalogue.Product description engine
  • Support.First-response drafter plus deflection
  • Trading reporting.Live trading dashboard plus AI trading note
  • Reviews.Review summariser plus sentiment trend
  • Inventory.Stock exception radar
  • Content.Content repurposing engine
  • Campaign reporting.Cross-channel reporting
  • Segmentation.AI segment builder
  • Leadership.Weekly trading brief
Relevant Edison AI services6
AI Marketing & Search VisibilityWorkflow AutomationAI AgentsOperating IntelligenceAI Readiness AuditRole-Based AI Workflow Training

Edison AI builds on your existing stack (Shopify, BigCommerce, WooCommerce, Klaviyo, Mailchimp, Gorgias). No replatforming.

Retail FAQs10
  • Will AI replace our brand voice?

    No. We build voice guards. Outputs draft in your voice, not generic AI voice.

  • What workflows pay back fastest?

    Support drafting, product descriptions, weekly trading brief.

  • Will this work with Shopify, Klaviyo, Gorgias, Cin7, Unleashed?

    Yes.

  • How long until support deflection?

    First-response drafter live in 2 to 4 weeks.

  • What about customer data privacy?

    ACSC and OAIC aligned.

  • Does this work for sub-$1m brands?

    Yes. Audit plus a single agent build is a common starting point.

  • What should founders measure?

    Tier-1 deflection rate, TTR, conversion, AOV, content velocity, AI citation count.

  • Does AI replace marketers or support staff?

    No. It compresses the routine work and lifts capacity for the harder work.

  • What's the best first step?

    Readiness Audit.

  • What about Australian Consumer Law compliance in AI-generated copy?

    Voice guards include compliance prompts; humans review before publish.

Work with us

Pick the workflow with the biggest weekly drag. That's the first agent we build.

Most retail and ecommerce brands we audit find 25 to 40% of support time recoverable in the first pass, plus a 2 to 4x lift in content velocity.

Talk to the team →
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