Starling Elevate helps online retailers personalise shopping, automate support, forecast inventory, and reduce fraud. We build AI tools that connect to Shopify, Magento, WooCommerce, and the platforms you already run.
Explore Our E-commerce AI SolutionsStarling Elevate helps online retailers personalise shopping, automate support, forecast inventory, and reduce fraud. We build AI tools that connect to Shopify, Magento, WooCommerce, and the platforms you already run.


Online stores compete on speed, personalisation, and fulfilment. Legacy commerce tools often struggle with rising order volumes, scattered customer data, and real-time shopper expectations.
AI turns sales, support, and inventory data into actionable insights. Starling Elevate builds eCommerce AI that improves conversions, strengthens retention, and gives teams clearer visibility across digital retail operations.

Retail brands juggle inventory, fulfilment, marketing, payments, and support across channels. When these systems do not connect, margins, retention, and growth all suffer.

Generic storefronts and weak personalisation reduce engagement and hold back online sales.
Slow checkout, poor product discovery, and weak follow-up leave revenue on the table.
Disconnected stock systems and poor forecasting cause shortages, delays, and excess cost.
Returns, refunds, and order tracking handled manually overload retail support teams.
Higher transaction volumes increase exposure to fraud, abuse, and payment security threats.
CRM, marketing, and analytics silos limit visibility across the full customer journey.
Use personalisation, predictive insights, and automation to improve shopping experiences, lift conversions, and grow eCommerce revenue.
We build AI for product recommendations, inventory forecasting, conversational support, fraud detection, loyalty, and unified commerce data tailored to online retail.
We build recommendation systems that learn from browsing, purchase history, and intent signals. Shoppers see relevant products faster, which lifts conversions and repeat visits.

Practical AI helps eCommerce teams convert more visitors, retain customers, and run fulfilment and reporting with less manual work.
Increase engagement with personalised shopping and smarter product recommendations.
Reduce cart abandonment with automated re-engagement and support.
Improve inventory visibility and fulfilment with predictive forecasting.
Strengthen payment security and cut fraudulent transactions.
Boost retention with AI-driven loyalty and engagement campaigns.
Gain clearer reporting through unified commerce analytics.
Integrate with Shopify, Magento, WooCommerce, Salesforce, and retail ecosystems.
Improve performance across marketplaces, D2C stores, and B2B commerce platforms.
We follow a structured path from discovery to deployment so AI fits your store, workflows, and growth goals without disrupting live operations.
Step 1
We review your goals, customer journeys, and growth priorities to find where AI can improve revenue and efficiency.
Step 2
We map sales, support, inventory, and marketing workflows against your current stack to spot high-value automation opportunities.
Step 3
We organise data from your store, CRM, analytics, and inventory tools so models have a reliable foundation.
Step 4
We define use cases, integrations, and rollout priorities aligned with your commerce operations and team capacity.
Step 5
We build, test, and connect AI features to your eCommerce platforms and internal workflows before go-live.
Step 6
We launch, track performance, refine models, and support ongoing improvements as your store scales.
Step 1
Discovery & Business Assessment
We review your goals, customer journeys, and growth priorities to find where AI can improve revenue and efficiency.
Step 2
Workflow & Platform Analysis
We map sales, support, inventory, and marketing workflows against your current stack to spot high-value automation opportunities.
Step 3
Data Collection & Readiness
We organise data from your store, CRM, analytics, and inventory tools so models have a reliable foundation.
Step 4
AI Strategy & Solution Design
We define use cases, integrations, and rollout priorities aligned with your commerce operations and team capacity.
Step 5
AI Development & Platform Integration
We build, test, and connect AI features to your eCommerce platforms and internal workflows before go-live.
Step 6
Deployment, Monitoring & Optimisation
We launch, track performance, refine models, and support ongoing improvements as your store scales.
From personalised shopping to intelligent automation and predictive insights, Starling Elevate helps brands turn AI plans into measurable commerce results.
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Brands use AI to recommend products, answer support questions, forecast inventory, and flag fraud. These tools automate repeat tasks and help teams focus on growth.
Strong starting points include recommendation engines, inventory forecasting, and conversational support assistants. They turn customer and sales data into faster decisions.
AI studies browsing, search, and purchase history to show relevant products and content. Shoppers find what they need sooner, which reduces bounce rates and lifts conversions.
Yes. We design tools for your store and workflows, from shopping assistants to automation that manages support, pricing, or supply chain tasks.
B2B often needs bulk pricing, procurement workflows, and longer sales cycles. B2C focuses more on fast checkout and individual personalisation. We tailor AI to each model.
We deploy fraud detection and monitoring that spots unusual transactions in real time. Models are configured to protect payment data without slowing legitimate orders.
Popular use cases include visual search, dynamic pricing, supply chain automation, email personalisation, and 24/7 support copilots for order issues.
We integrate with Shopify, Magento, WooCommerce, Salesforce Commerce, and custom storefronts. Connectors are scoped during discovery based on your stack.
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Give your retail teams AI automation for support, fulfilment, and workflows that improve engagement and performance across online commerce platforms.
Transforming Ecommerce Challenges into Measurable Growth
A US E-Commerce marketplace struggled to onboard new suppliers because product data arrived in PDFs, scanned brochures, spreadsheets, and image files with no consistent layout.

An Australian pet e-commerce brand needed product suggestions that matched each pet's breed, diet, allergies, and lifestyle instead of generic bestseller lists.

A USA online retailer ran product search on keyword matching across a large catalog, so shoppers often missed relevant items when queries did not match exact product titles.

A US e-commerce business needed one place where support, sales, and customer success teams could see purchase history, support tickets, and account activity without jumping between systems.

A US E-commerce business handled growing volumes of order, shipping, and return inquiries through manual lookups across product catalogs, order systems, and support docs.

An Australia E-commerce retailer handled order, return, and refund inquiries through email and live chat without consistent responses across channels.

A USA e-commerce business was using generic AI prompts across product recommendations, customer support, and shopping assistance.

A US E-commerce brand relied on staff to place outbound calls for order confirmations, delivery updates, cart recovery, and promotional follow-ups.

A USA E-commerce retailer served shoppers with rule-based product widgets that showed the same items to every visitor regardless of browsing history or purchase intent.

A UK e-commerce business needed reliable deployments and stable infrastructure as order volumes, feature releases, and promotional traffic grew.

A multi-channel retailer in Switzerland needed one system to manage orders, inventory, warehouse work, and product catalogs instead of juggling separate tools for each sales channel.

A US e-commerce brand needed a loyalty program that felt personal instead of sending the same rewards to every shopper.

A US-based AI B2B commerce platform was onboarding more enterprise buyers, ERP and CRM integrations, and product releases faster than its internal team could hire.

A Singapore e-commerce business struggled to see sales performance clearly because data lived in storefront tools, marketing platforms, CRM records, and spreadsheets.

Our clients trust us for innovative solutions, high-quality development, and on-time delivery. Explore their testimonials showcasing successful partnerships and impactful results with Starling Elevate.