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Retail & E-commerce Boost Pack

AI tools that lift conversion, eliminate stock-outs, and keep high-value shoppers engaged from browse to repeat purchase.

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Retail snapshot

+14% Avg. revenue lift from focused bundles

-28% Abandoned carts resolved with journeys

6X Faster insight-sharing across teams

Connect web, POS, and catalogue data for unified insights.
Automate messaging for commerce moments (cart, wishlist, loyalty).
Make merchandising decisions from real-time stock and campaign KPIs.

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Retail Revenue & Engagement Package

A focused bundle for stores and online shops that want to lift conversion, avoid costly stock‑outs, and create personalised journeys that turn browsers into loyal customers.

Sales Funnel Optimisation

Spot where baskets leak and which offers actually move revenue.

Inventory Visibility

See stock risk by store, channel, and SKU in one view.

Customer Engagement

Trigger personalised messages that feel helpful, not spammy.

R1,040/mo

Full package access • No setup fees

6 AI Tools Included

1. Sales Optimisation & Conversion

Retail‑Specific Value

Store and e‑commerce managers want clear answers: which pages, promotions, and product bundles actually move the needle. Our AI‑powered funnel view highlights where shoppers drop off, which offers work by segment, and where to focus next week’s experiments.

Conversion Funnel Dashboard

MOCKUP

3.4%

Overall Conversion Rate

+0.8 pts vs last month

R712

Average Order Value

+12% with bundles

18%

Checkout Drop‑off

Card fees & delivery costs flagged

Promo & Page Performance

“3 for 2” Weekend Promo

+24% uplift in units sold • Best in mobile traffic

Keep
Home Page Hero – Winter Jackets

High traffic • Low click‑through • Suggest new creative

Test
“Free Shipping Over R750” Banner

Shifts baskets from R500–R700 into target band

Scale

Use Case Scenario

Before

A mid‑sized fashion retailer saw strong site traffic but flat revenue. Marketing tested random promos without clear learnings, baskets leaked at checkout, and managers debated whether the issue was price, UX, or product mix.

After

With AI funnel analytics, they focus on the top three drop‑off points and A/B test offers with live results. Conversion climbs, average order value increases with bundles, and campaigns are chosen based on data rather than guesswork.

Key Benefits for Retail & E‑commerce

See which pages, campaigns, and products drive the biggest revenue impact.
Understand exactly where shoppers fall out of the funnel and why.
Test promotions and bundles with clear uplift metrics, not just clicks.
Give growth teams a single source of truth for performance conversations.
Connect to your existing web analytics, POS, or e‑commerce platform data.

2. Inventory Management & Stock Protection

Retail‑Specific Value

Merchandisers and operations teams need to balance “never out of stock” with “not sitting on dead inventory”. Our inventory view surfaces low‑stock risk, overstock pockets, and where to move product before a promotion or season change.

Inventory Risk Dashboard

MOCKUP

4.2%

Stock‑out Rate (Top 100 SKUs)

‑35% vs last quarter

R1.8m

Value in Slow‑Moving Stock

Segmented by store & channel

89%

Assortment Health Score

Based on demand & coverage

Today’s Priority SKUs

SKU 10483 – Men’s Running Shoe

Online: 14 units • Stores: 2 units avg • High sell‑through

Replenish
SKU 50211 – Summer Dress

Overstock in 8 stores • Season ending in 3 weeks

Mark Down
SKU 78002 – Wireless Earbuds

Steady demand • Ideal for add‑on/upsell

Attach

Use Case Scenario

Before

A lifestyle retailer ordered stock by “gut feel” and last year’s numbers. Hero products ran out mid‑campaign, while entire categories sat in back rooms until heavy markdowns were needed, eroding margins.

After

With AI‑driven inventory signals, planners see risk weeks in advance. They rebalance stock between stores and online, adjust orders for promotions, and use targeted markdowns to clear only genuinely slow‑moving items.

Key Benefits for Retail & E‑commerce

Reduce stock‑outs on key products without over‑ordering everything.
See overstock by store, channel, and category at a glance.
Plan promotions with a clear view of what inventory is ready to move.
Connect to POS, e‑commerce, and warehouse feeds without ripping systems out.
Support both head‑office planners and store managers with the same source of truth.

3. Customer Engagement & Loyalty

Retail‑Specific Value

Once you’ve paid to acquire a customer, every extra order they place improves your return on that spend. Our engagement tools orchestrate personalised campaigns, abandoned‑cart nudges, and post‑purchase journeys that feel tailored rather than generic.

How Engagement Journeys Run

Data flows from your online store, POS, and loyalty programme into a single journey engine that decides who to talk to, about what, and when.

Collect

Capture behaviour (browses, baskets, purchases) and profile data from in‑store and online channels.

Segment

AI groups customers by value, interests, and churn risk instead of only basic demographics.

Trigger

Send the right message at the right time – e.g. abandoned‑cart emails, “back in stock” alerts, or VIP previews.

Learn

Measure which journeys boost repeat purchase rate and lifetime value, then double down on what works.

ROI Snapshot

+19%

Increase in repeat purchase rate in 6 months

‑28%

Reduction in abandoned carts after triggered journeys

+14%

Average uplift in revenue from loyalty members vs non‑members

Implementation

Rolling Out AI Across Your Retail & E‑commerce Journeys

Start with one storefront or country site, prove the value on a few product lines, and then scale to more categories and channels with confidence.

Quick Wins (First 30 Days)

Pick 1–2 key categories (e.g. footwear, electronics) to pilot funnel and inventory insights.
Connect web analytics, POS, and catalogue exports into a single view.
Launch a small set of A/B tests on product pages and checkout messaging.
Switch on basic abandoned‑cart and “back in stock” emails or SMS journeys.

Scale‑Up (Days 30–90)

Roll out funnel and inventory dashboards to more categories and store clusters.
Introduce loyalty segments and VIP journeys for your top customer tiers.
Align merch, marketing, and digital teams around shared KPIs each week.
Document wins and learnings to secure buy‑in for further investment.

Long‑Term Optimisation

Feed AI insights into assortment planning and supplier negotiations.
Use predictive models to forecast demand spikes around events and seasons.
Continuously refine segments and journeys as your customer base grows.
Integrate store staff feedback to improve both in‑store and online experiences.

Ready to Lift Conversion and Protect Every Sale?

Use this Retail & E‑commerce example as a blueprint for your own brand. We’ll help you plug in your data, configure the dashboards, and turn AI insights into higher conversion, fewer lost sales from stock‑outs, and more repeat customers.

Talk to our team about a retail pilot