AI-Powered eCommerce Built for a Sportswear Brand in California
A sportswear brand based in California wanted to move beyond a standard eCommerce setup – bringing in AI for personalisation, dynamic pricing, demand forecasting, and inventory control. SportifyAI is the result: a custom platform with a mobile app, an intelligent pricing and recommendation engine, and a web admin dashboard built to manage it all.
WHAT WE BUILT
Custom AI Commerce Solution Covering Personalisation,
Pricing, Forecasting, and Store Management
AI Consultation and Integration Strategy
The project started with a thorough assessment of the client’s existing eCommerce setup and where AI could make a measurable difference. We mapped out an integration strategy across four areas – recommendations, dynamic pricing, demand forecasting, and inventory – giving the build a clear direction from the start.
Recommendation Engine and Model Training
Building an effective recommendation engine required more than integration – it required training AI models on customer purchase history, browsing behaviour, and product attributes to ensure the output was relevant and personalised for each customer.
Dynamic Pricing and Demand Forecasting
Two connected capabilities built to work alongside each other. We built AI models to adjust pricing in real time based on competitor activity, demand signals, and promotional factors – and trained forecasting models on historical sales data and seasonal trends to predict future demand accurately.
Admin Dashboard and Store Intelligence
The client needed visibility across every part of the store. We built a web-based admin dashboard delivering real-time analytics, sales reporting, and inventory insights – giving the client the tools to manage operations and make informed decisions.
Ready to Work With a Team That Delivers?
We plan, design, and build products that work – on time and to your requirements.
PLATFORM FEATURES
The AI Capabilities We Designed,
Trained, and Delivered
AI-Powered Product Recommendations
We integrated a recommendation engine that analyses customer purchase history, browsing behaviour, and product attributes to surface relevant products for each customer. The engine was trained and optimised for the client’s product catalogue to ensure recommendation quality across product types.
Smart Demand Forecasting
We implemented AI models trained on historical sales data, seasonal trends, and competitor activity to predict future product demand. The forecasting output supports inventory planning, giving the client advance visibility on which products to stock and when.
AI-Based Dynamic Pricing
We built a dynamic pricing model that automatically adjusts product prices based on real-time inputs – competitor pricing, demand fluctuations, and promotional activity. Pricing decisions are driven by live data, keeping the store competitive in the market.
AI-Powered Chat Support
We developed an AI chatbot built to handle product-related queries and deliver personalised recommendations based on customer preferences. The chatbot qualifies customer preferences through a structured conversation flow before surfacing relevant products. It operates around the clock without requiring manual support intervention.
Smart Inventory Management
We built an AI-powered inventory management layer that optimises stock levels and automates restocking based on demand signals. The system is designed to keep popular items available while reducing carrying costs across the catalogue.
Visual Search
We built a visual search capability that allows customers to find products by uploading a photo or capturing one directly through the app. The search returns relevant product matches from within the store based on the image input.
Customer Segmentation
We built a segmentation layer that organises customers based on purchase history, browsing behaviour, and demographic data. This gave the client a structured view of their customer base to inform targeted marketing and personalised outreach.
A/B Testing
We built A/B testing functionality into the platform to support ongoing optimisation of layouts and product pages. This gave the client a structured way to improve store performance over time.
Third-Party Integrations
We integrated payment gateways, shipping services, and marketing tools into the platform to cover the full eCommerce workflow. Each integration was built to ensure secure transactions, reliable order processing, and consistent promotional capability.
AI Model Training and Optimisation
Model performance was monitored and refined as part of the delivery. We ran optimisation cycles across the recommendation and pricing models to improve accuracy and ensure the AI layer continued to perform effectively.
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TOOLS & TECHNOLOGIES
The Stack Behind SportifyAI
A modern web and mobile stack combined with dedicated AI/ML frameworks to power the recommendation, pricing, and forecasting layers.
