Spiral Mantra Private Limited

With the increase in customer inquiries, the real estate agents were finding it hard to keep up with the increase in data and enquiries. 

The client wanted to implement an AI chatbot that would help in making selling and buying property more efficient and help ease load on operations.

Challenges:

The clients wanted to leverage technology by developing a new website and mobile app to increase its user base and customer experience.

A need for a platform that will automate day-to-day mundane tasks and allow users to book services without the need for any customer support executive was identified.

Our Solution

Spiral Mantra started the project with an extensive discovery of the project, identifying the key pain points and most important functionalities for the client. 

The solution proposed included an iOS and Android app and also a web portal that can be used by the customers to make bookings and manage their orders, as well as an admin panel where the client team can handle the operations from the backend.

The web portal and mobile app were developed to help customers get quotes and book pallet services. The customer gets to enter the collection and delivery location and date, select pallet space, type of service, and other optional services. The customer can track their shipment through this portal as well.

Results

The client and his customers continue to enjoy automated operations with features like

Admin Panel

• Edit, Add, Del - Pallet size, weight, cost 
• Dashboard 
• Customer Queries 
• Delivery type 
• Delivery Status 
• Current Bookings
• Booking completed
• Notification

Customer App

• Quote for services
• Truckload services 
• Select the Service Options screen
• Manage Delivery  
• Order Review and Payment screen 
• Customer help screen (Chatbot AI) 
• Track Deliveries screen

Challenge

The client was seeking an absolute solution to maintain a consistent workout routine on the device and wanted to develop a wearable mobile app that would be compatible to work on both iOS and Android users. Apart from this, he is also looking forward to introducing a calendar to schedule workout regimes to ease his user's life. Additionally, he wanted to have the application with multiple features, including;

• Custom dashboard for progress insight visualization
• Daily workout plan for user goal specified
• Blood oxygen count with daily sleep monitoring
• Daily step counter feature for maximum calorie burn, and more.

Solution

To address these challenges, the Spiral Mantra team has developed a comprehensive strategy for the fitness wearable app that involves technologies like Flutter, API integration, and leading machine learning modules for flawless navigation. The team of app developers has submitted the profile before closing the timeline and handing over a fully functional fitness wearable app that works seamlessly for both Android and iOS devices. 

Results

The Spiral Mantra team played a pivotal role in fulfilling the Flutter app development request for a wearable mobile app accessible to run seamlessly on Android and iOS devices. With effective use of the technology stack, including Python, machine learning, Figma, APIs, and Flutter, the team ensured to offer a robust and scalable solution by fulfilling all client demands with additional requirements like;

• Easy to access user profile
• Inclusive features to set goals and workout routine
• A reward system to motivate users by earning points and badges

Developing the Flutter app not only helps clients boost their monthly users but also adheres to streamline overall productivity, allowing the client to stay focused on their core business functions. 

Project Overview

The client demand planning team uses an in-house stat model (secondary sales forecasts, i.e., distributor to retailer for the future 3 to 5 months), which then undergoes the S&OP process with the CMM & TMM team to land at a consensus forecast. This is then used to create a distribution and production plan, which drives improved availability and inventory reduction. Currently, the state forecast generates a point estimate for a few sets of models like classical time series, random forest, prophet, etc., and the best of the lot is selected.  Also, the input drives for consumer and trade offers are just flags of whether the offer is running. The SC team wants to understand the sensitivity of all the drivers; for example, how will the demand vary if we increase our consumer offer from Rs 5 off to Rs 10 off, etc.? Additionally, as the sales team always has an aspirational number vs. the forecasted demand leading to high inventory in the system, we need a solution that can estimate a range (lower and upper limit at specific confidence level) so that during the S&OP process we can push the sales team, leading to reduced inventory, and experience better accuracy with the ranges.

 Solution Proposed

1.     Creating a dynamic forecast engine tool that can create forecasts at multiple granularities (brand or parent SKU, depot or national level, and combinations of these) and ensemble/stack multiple models to forecast the best possible point estimate.

2.     Creating a sensitivity/simulation module in the tool to dynamically update the demand

basis new quantified drivers and understand the impact of changes in these drivers.

3.     Creating a range-based forecast tool that can forecast ranges for a specified confidence interval. Also, the range forecast should tie back to the point forecast.