Client background
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.
Partnership Facts
Services

Dedicated Team

Location

Asia

Industry

Food and Beverage

Integration

POS Integration, Payment Gateway

Technologies

Python, MySQL, Angular, Pandas, Numpy, Jupyter

Team Size

15+ Engineers

Client Requirement

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.

Business Challenges
1.

Fixing up the right price for each item is the most critical decision for a Store.

2.

Price Equalizer Tool: If the Price is too high, you lose the Customer and if its too low, you lose the margin

3.

Define Sales price by assessing raw material cost, incremental labor cost and compliance expenses.

4.

Profit margin will be defined based on customer food preferences and intensifying competition.

Tech Architecture
Strategy - W2S Process

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:

01

Reviewed the current pricing process and defined rules for recommendations.

02

Tailored solution with the pricing engine and recommendations portal to help each Stores.

03

Offer easy onboarding of Store Owners and Operators and easy to use system in reviewing and uploading the final price to the POS

04

Dynamic Pricing leveraging Machine Learning based on the latest Data

Team Structure

A talented team of 15+ professionals who specialized in niche skill sets such as Application Development, Data Analytics and Cloud Deployment services.

As the team is matured and energetic, they are aware of Individual responsibilities and stand together as a team in order to meet the deadline and requirements.

1

UI/UX

2

Data Analyst

1

Cloud Architect

2

Quality Analyst

3

Mobile App Developers

3

Backend Developer

1

Project Manager

2

Front End Developer

1

Customer Success Manager

Tools and Technologies

Results can only be driven by choosing the correct technology stack. As we have great experience in handling such Digital Transformation Solutions, we had hand picked the following tech stack to build a rock solid application that should be capable of handling volume of big data and should also provide flexibility for easy customization in future.

Communication Tools:

  • Slack was used for internal communication within the organization.
  • Google Meet or Zoom Meetings to interact with clients.

Technologies

  • Backend:

    Python

    Django Framework

  • Frontend UI:

    Angular

  • Data Analytics:

    Python

    Pandas

    Numpy

    Jupyter

  • Cloud:

    AWS

Project Management Tools

  • JIRA -Task Tracker and Sprint Plans.
  • Github- Version Control.
  • Confluence- Document Management.
Solutions Offered
The main objective of this pricing portal is to enable Franchise Owners and Pricing consultants to receive/ view pricing recommendations for items at store X channel level and analyze business outcomes after implementation of these recommendations. Owners shall use the portal efficiently by altering price of any items and analyzing the estimated impact.

Post implementation of pricing, actual performance of the recommendation is captured in the portal under reports and comparative reports are generated based on past recommendation and current sales. This Data Analytics Solution provides financial services to store owners to set their own price and view their performance.

The three major modules of the application is

  • Pricing Recommendation
  • Competitive Analysis
  • Pricing Performance Review
Business Impact

After the project implementation, results are clearly visible for franchise owners in revenue increment and simplified recommendation process from the centralized business Intelligence team. It increases the confidence in the Intelligence team and franchisee owners are able to focus on business rather than worrying about pricing comparison with the competitors.

1. Predictive Analytics

Leveraged Internal and External Data sources using Advanced Analytics to predict future sales, and continuously update recommendations based on actual sales.

2. Better Profit Margins

Price Analyzer recommends price which aligns with consumer's willingness to pay and it resulted in higher margins through optimized pricing.

3. Performance Tracker

Helps Stores to track the performance of recommendations by providing sales and profit insights

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