Retail & Distribution

Cuantify AI’s breadth across Consumer Products, Retail, Wholesale & Distribution, and Transportation & Logistics

retail-sector

Technology & Expertise

Consumer Products

Omnichannel Customer Experiences

Utilizing AI-powered technologies to establish seamless omnichannel customer experiences across both existing and emerging channels, boosting both revenue and profitability while delivering personalized interactions that are relevant, engaging, and tailored to individual preferences.

Data-driven Modernization

Creating revenue opportunities through advanced analytics and data-driven next-action offers. Drive revenue growth by optimizing cross-selling and upselling opportunities while simultaneously reducing operating costs through automation.

Supply Chain Transformation 

Ensuring sufficient inventory, enhance omni-channel fulfillment, leveraging AI, risk quantification and scenario planning in the age of digital commerce, when it is hard to predict what consumers will buy and when and where they buy it.

Data Management Hub

Ingesting, harmonizing, and integrating data from different retailers and distributors, providing CPGs with a single source of truth. Seamlessly integrating with retailers, distributors, and other data sources to provide a unified view of the data.

Save the Sale

Building AI algorithms to determine which items can be recommended as substitutes to retailers or customers for items that are current out of stock, taking into account customer satisfaction, retailer relationships, margins and inventory.

Fleet Network Optimization

Using AI and ML to create optimized network plans for ground and air fleets – maximizing efficiencies within and across business lines and delivering as per customer expectations, in the age of same-day delivery.

Retail, Wholesale & Distribution

Application Modernization

Breaking down legacy applications into microservices and exposing the functions or data securely via APIs. Utilizing AI and cloud to re-configure processes that lower costs and increase resilience, and improve the quality of omnichannel experiences and launch new business models.

Digital Transformation

Enabling omnichannel retailing for the new age customer by providing real-time and localized inventory visibility, same-day delivery, revamping fulfilment strategies and enabling a 360-degree view of the customer, aggregating data from all touchpoints to gain valuable insights.

Digital Shelf Analytics

Developing and implementing AI-powered solutions that provide real-time insights and data-driven recommendations to help physical stores make informed decisions. Monitor product availability, understand the impact of out-of-stock products, analyze competitor pricing and promotions and optimize product range.

Vendor Information Management

Utilizing AI & ML to automate and collate product’s technical, compliance and marketing information about vendor products and services, enabling wholesale and distribution organizations to reduce the time spent on data collection.

Security built for Scale

Using industry leading architecture & security principals and leveraging technologies such as AI, threat intelligence, risk quantification and scenario planning to ensure the valuable Wholesale & Distribution information is safe and secure.

Intelligent Procurement

Incorporating gen AI to automate the prescreening of supplier bid documentation with AI models providing structured summaries and actionable insights from supplier data. This results in a drastic reduction in review time and a jump start on the project kickoff date.

Transportation & Logistics

Streamline Fleet Operations

Proactively anticipating and mitigating fleet failures by integrating maintenance, repair and telematics data with machine learning-powered visualizations and monitoring key performance indicators (KPIs) through a unified transportation dashboard.

Fleet Availability & Utilization 

Leveraging real-time data and analytics to improve asset uptime and lifespan while reducing costs and increasing utilization for greater revenue generation. Developed and deployed AI-enabled remote asset monitoring modules.

Driver Analysis

Building advanced clustering algorithms to segment drivers based on various dimensions such as number of incidents, distance travelled, fuel economy, and driver proficiency. Provide customized training as per this segmentation.

IT Modernization

Undertaking Cloud transformation and modernization changes allowing the firms to innovate rapidly at scale, go-to-market faster with new business models and leverage newer technologies for long-term growth. 

Global Trade Optimization

Compiling ML algorithms to reduce logistics costs and transit time by analyzing the myriad of factors, including tariffs, customs regulations, trade agreements and shipping costs, to suggest the most efficient and cost-effective trade routes and strategies.

Invoice Processing & Credit Collection

Utilizing RPA to integrate into multiple systems including freight bill payment systems to automate complete order-to-cash process for large 3PL carriers, limiting the need to manually follow up on pending invoices.