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Are you there, yet? Are you already providing the best possible experience for your customers? Are you already running your business at maximum efficiency? Are your marketing efforts and resources reaching the right people?Â
Clearly, there are a number of uses of AI and ML solutions that can be leveraged to improve the retail business. Whether your objective is to improve your customer experience, manage your own operations efficiently or upgrade the effectiveness of your marketing, Quadratyx can help build a customized solution, tailored to your specific needs. With our cross-vertical experience, we provide out of the box solutions that could be a game changer for your business.
Reduced
Travel Distance
Improved
Delivery Efficiency
Reduction in
Travel Time
A well-known public listed company with over 2,000 employees and operating around 65 trucks – has delivered an award-winning range of products and services in Sri Lanka. Their manual delivery plan based on their awareness of cities maps has become the key issue in the competition among the distributors of fast-moving consumer goods.
Quadratyx ARRO (Adaptive Road Route Optimization), a ML based advanced route optimization tool, helped plan delivery route (considering multiple global and local constraints), and provided real-time visibility into the client’s delivery operations.
This e-commerce giant,with over 6,00,000 + merchants and 100 million monthly visitors on its website, was not witnessing a growth in its orders placed. The existing recommendation solution failed to meet expectations including its inability to dynamically set configuration parameters for price range, discount categories, product ratings and list of products.
Quadratyx implemented a highly personalized approach to match our client preferences with the help of our technology accelerator (PRE-C), an ML based recommendation solution:
CTO Improvement
CTO Improvement form existing solution
Increased ITO
(Impressions to Order)
Recommendations generated
2 billion Products
Recommendation per Product
Accuracy in
Customer Personification
Enhance customer experience
Personalization & Loyalty programs
Tailoring
Channel Experience
In today’s multi-channel environment, consumers carry out online shopping transactions through various channels. Our e-commerce client, online furniture start-up company with a distribution across 75+ cities in India, had trouble identifying customer’s unique requirements to provide personalized services.
Quadratyx, with its proven record of building large-scale operational analytics solutions on Big Data infrastructures built a graph database-based entity discovery technique. That gave them a better understanding of their customers and provided insights to understand customer behavior to help plan marketing actions.
Our client operating in SEVEN countries, offers platform to buy products ranging from groceries, food, beverages to hiring scooters. The firms P&L team needs periodic reports to assess & analyze various business financial figures at different geographies. During peak load time, an estimate of 2,000 people are said to access this tool, creating performance issues and delays. Also, drill-down and explore on a granular level in auto generated excel reports is not possible.
Quadratyx built a separate No-SQL data mart for P&L team reporting needs
Easy Access & Retrieval of Data
Flexible & Responsive Analytics
Evaluating Unit Economics
Visualization Interface
Chatbots play popular role in personal shopping assistants, help customers locate items and provide recommendations based on preferences. In addition to successfully replying customer queries, messaging bots can reach each customer with an individually tailored offers. They can seamlessly replace the traditional counters.
Visual commerce provides a quantifiable edge over legacy text based search. AI assisted visual searches have resulted in increased conversion rates (30-50%). Visual searches have applications in B2C & B2B, store-front/user facing interfaces and background operations. AI-powered visual searching can tag, categorize and provide recommendations too, increasing significantly – the overall size of each sale.
AI can help show sellers likely outcomes of different pricing strategies to come up with unique promotional offers, to retain/acquire more customers, and increase sales. Using AI-based algorithms, data is collect on competitors’ products, promotions, and sales as well as non-store data about things like local events.
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