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Predictive Analytics For
National Franchise Organisation

The client was a large national franchising organisation with global partners, operating in a complex and dynamic market landscape. With a vast network of locations across the nation and affiliations around the globe, the company faced escalating challenges in sales forecasting, supply chain management, and coordination. Traditional approaches were falling short in delivering real-time insights and adaptability, resulting in operational inefficiencies and missed revenue opportunities. Recognising the need for a transformative solution, they engaged us to implement an advanced analytics platform designed to optimise sales predictions, streamline supply chain logistics, and improve global partnerships.

Challenges

Product
Quality

Lack of real-time insights into product defects and quality assurance.

Inventory Management

Overstocking and under-stocking were common due to inaccurate sales forecasts.

Route
Inefficiency

Lack of real-time tracking led to inefficient routing and increased transportation costs.

Multi-Supplier Complexity

Managing multiple suppliers led to inconsistencies in delivery times and product quality.

Promotion
Impact

Difficulty in measuring the real-time impact of national or local promotions on sales.

Seasonal
Variability

Different franchise locations experienced peak sales seasons at different times of the year.

Optimising Sales Forecasting and Supply Chain Logistics for a Global Franchise Enterprise

Operating in a fiercely competitive market, our client
— a national franchise company with global partnerships
— faced significant hurdles in streamlining sales predictions and supply chain logistics.

Their challenges resembled those of real-world franchise organisations such as fast-food chains or retail stores that manage hundreds of locations with diverse local market conditions.

Platform Statistics

Predictive Analytics Platform

35%

Improved sales forecast accuracy

22%

Reduced overstock and stockout

15%

Increase in transportation efficiency

18%

Reduction in product defects

Our Process

Streamlined Data-Driven Solution for Franchise Sales Forecasting and Supply Chain Optimisation

Stakeholder Interviews

Stakeholder interviews identified the challenges, paint points and objectives.

Data Assessment

We analysed the data available to us and what would be needed to create value.

Design And Architecture

We iterated through the design and proposed architecture needed to enable their vision.

Tech Stack Selection

Appropriate technologies for data storage processing and analytics were identified based on client needs.

Integration Development

Multiple data sources were integrated into the product for sorting and transformation.

Dashboard Development

Dashboards were then created and tested with key users in accordance with designs.

Go-Live With Users

User training and roll out of the dashboards were executed.

Iteration And Feedback

Feedback was gathered and further improvements were made to meet client objectives.

Our Approach

Predictive Analytics Dashboard: Harnessing Machine Learning for Operational Insights

We proposed a predictive analytics dashboard that uses Machine Learning algorithms And Real-Time Data Analytics to offer predictive insights into various operational aspects
— Pricing
— Inventory
— Supply Chain Management.

Our Stack

Technology for Analytics and Storage

Empowering Business Leaders

Transforming Data into Actionable Insights for Informed Decision-Making

The Predictive Analytics Dashboard became an essential tool in decision-making across various operational aspects of our clients business. By leveraging the power of predictive analytics and real-time data, the firm is now better positioned to compete in the market. Future endeavors will include refining the machine learning models and expanding the range of metrics to further improve operational efficiency.

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