Food and Beverage
Data strategy and data visualization tool
Python, Django Framework, Angular, Pandas, Numpy, Jupyter & AWS
52+ Weeks and ongoing
This AI and Machine Learning tool built for the largest chain in the Food and Beverage Industry. They have outlets in over 100 countries serving more than 50 million customers daily with quality food.
Franchise business models decentralized their execution and every region has its own abilities to create menu, quantity and pricing. The central business intelligence team offers recommendations for every franchisee owner about Food menu preferences based on local region’s Interest, pricing policies and quantity. This approach helps franchise owners to analyze business recommendations, assess and act towards running business in a profitable manner.
A Pricing Analyzer tool to help the company to identify the pricing strategy, best price of its products, system to analyse the price with competitors and set the accurate price that offers maximum profit while offering sales growth and customer loyalty.
Fixing up the right price for each item is the most critical decision for a Store.
Price Equalizer Tool: If the Price is too high, you lose the Customer and if its too low, you lose the margin
Define Sales price by assessing raw material cost, incremental labor cost and compliance expenses.
Profit margin will be defined based on customer food preferences and intensifying competition.
We at W2S Solutions follow a set of strategies in order to make the business successful and enhance profits. Here are the steps which we follow for our clients:
Reviewed the current pricing process and defined rules for recommendations.
Tailored solution with the pricing engine and recommendations portal to help each Stores.
Offer easy onboarding of Store Owners & Operators, combined with an easy to use system in reviewing and uploading the final price to the POS
Dynamic Pricing leverages Machine Learning based on the latest Data
Mobile App Developers
Front End Developer
Customer Success Manager
Results can only be driven by choosing the correct technology stack. As we have great experience in handling such Digital Transformation Solutions, we had handpicked the following tech stack to build a rock-solid application that should be capable of handling big data and should also provide flexibility for easy customization in the future.
The main objective of this pricing portal is to enable Franchise Owners and Pricing consultants to receive/view pricing recommendations or items at store X channel level and analyze business outcomes after implementation of these recommendations. Owners shall use the portal efficiently by altering the price of any items and analyzing the estimated impact........
The main objective of this pricing portal is to enable Franchise Owners and Pricing consultants to receive/view pricing recommendations or items at store X channel level and analyze business outcomes after implementation of these recommendations. Owners shall use the portal efficiently by altering the price of any items and analyzing the estimated impact.
Post-implementation of pricing, the actual performance of the recommendation is captured in the portal under reports and comparative reports are generated based on past recommendations and current sales. This Data Analytics Solution provides financial services to store owners to set their own prices and view their performance.
The three major modules of the application is
Leveraged Internal and External Data sources using Advanced Analytics to predict future sales, and continuously update recommendations based on actual sales.
Price Analyzer recommends price which aligns with consumer's willingness to pay and resulted in higher margins through optimized pricing.
Helps Stores to track the performance of recommendations by providing sales and profit insights