ai & retail

AI-driven recommendation
system for a large retail

Retail stores are up against tough competition from online businesses. However, they have a special chance to stand out and win the battle through their physical stores by offering an AI-driven shopping experience.

Introduction

AI-powered smart tech makes shopping more personalised, mixing the ease of online shopping with the unique in-person shopping experience.

Our loyalty app suggests healthier food choices and products without packaging to our customers, rewarding them for making these choices. AI makes retail shopping more enjoyable and personalised for the customer while helping the store keep up with peak times, and it does good for the planet.

Our main contribution

Creative Dock developed a set of AI-driven recommendation engines that make the loyalty programme suitable for the 21st century. Customers are provided with personalised offers, recipe suggestions, and time-limited special discounts for shopping trips exceeding customer’s usual volume. The app allows customers to collect credit points to exchange for discounts on future purchases.

About the Project

We've developed AI systems by closely analysing shopping habits, both online and in-store.

Our app enables customers to discover the best deals, explore recipes that align with their shopping habits, and enjoy personalised offers. This not only enhances the shopping journey but also adds value by making every visit to the store or online shop more efficient and enjoyable.

One component uses large language models to organise and pull together various types of data and stores them into a structured database. Through clever prompting, it acquires and parses data from leaflets to identify current sales, converts recipe ingredients to a list of stock units, directly linking them to products in the store. AI also helps with BI view on the customer data, examines customer purchasing data to understand their preferences, how often they shop, their spending habits, and their stage in the customer life cycle.

AI in the Retail Sector: Transforming the Landscape and Elevating the Customer Experience
Leveraging this data, the AI provides a range of personalised recommendations. Based on the customer's previous purchases, collaborative filtering with prioritisation features suggests similar or complementary products. A hierarchy of random forest classifiers assigns the products into categories. While giving the recommendation, it pays special focus to healthy products and prioritises products that are currently on promotion.

With the ingredients converted into shoppable products, the system also recommends recipes based on the groceries a customer tends to buy. Tools based on generative AI and product classification transform recipe ingredients into shoppable products. This approach allows guiding the customers towards making informed choices based on their preferences and habits.

Further benefits of using AI for retail operations and customer engagement
Additionally, based on the variety of BI insights and segmentations, the AI system introduces a monetary and frequency recommender that takes into account the regularity of a customer's shopping visits and the average size of their purchases. By analysing these patterns, the system predicts opportunities to reward customers with special promotions tailored to encourage higher spending in the store.

This system benefits customers by offering them more value for their money and supports the business by increasing sales and customer loyalty. It's a thoughtful way of acknowledging and rewarding frequent shoppers, ensuring they feel valued and incentivised to continue choosing our store for their shopping needs.

Launch Results

2M+

downloads

20M

recommended products every week

50k+

redeemed frequency and monetary rewards

Work with us

Want to make your business more effective?

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