Maximizing Efficiency: Streamlined Property Management

Introduction

The client is a property management company based in Michigan, USA, and primarily generates revenue from rent collection from the properties they manage. In 2018, the company reported an annual revenue of over $2 million. The company collects several crucial real-time business data, which is then exported to an Excel spreadsheet for analysis by the managers.

However, this process was cumbersome and time-consuming. As a result, the company enlisted Assystant’s help to make reporting and analysis less complex, freeing managers from spending too much time on this tiring task.

Our Solution

Our team collaborated with the client’s managers to understand their current processes and elicit their requirements. After careful analysis, we devised a plan to work with multiple databases by integrating data from various sources into a single data warehouse.

Building the Data Warehouse

To create a successful data warehouse, we began by identifying the data sources and types of data that needed to be collected. We then designed the data architecture, which included the processes for data extraction, transformation, and loading (ETL). Our team created a robust ETL process that collected data from various sources, transformed it into a consistent format, and loaded it into the data warehouse.

Creating the Report

After building the data warehouse, we created a report using Google Data Studio for all the metrics. The report included key performance indicators (KPIs) such as revenue, occupancy rates, and rental income, which were updated automatically in real-time.

Outcome

After implementing our solution, managers can now analyze the reports directly, which get updated automatically. The new system freed them from the earlier cumbersome process of manually exporting data to Excel and creating reports. This led to a surge in productivity by the managers. They could now spend more time analyzing the data and making informed decisions, rather than spending countless hours creating reports.

Conclusion

By working with the client’s managers and understanding their requirements, we were able to create a successful data integration strategy that streamlined the reporting and analysis process. Our team’s expertise in data warehousing and Google Data Studio allowed us to build a robust system that automated the data collection and analysis process, leading to a surge in productivity. Our solution enabled the company to save time and resources while making better-informed decisions based on real-time data.

Increase repeat purchase with mobile app integration

The client is a nutrition supplement retailer and distributor, headquartered in Mumbai, India. They generate revenue from their proprietary e-commerce portal, e-commerce marketplaces, and own offline stores present in major cities across India. According to some estimates, the client had a revenue of $5million during 2018.

THE PROBLEM

As nutrition supplement is a niche market, with a majority of sales, generating from repeat buyers. The client wanted to make the buying process more convenient by making its products accessible through mobile devices. The client engaged Asysstant to build a user-friendly, lightweight mobile application to enhance the customer experience.

OUR SOLUTION

Initially, we accessed and analysed data of the client’s existing e-commerce portal from Analytics tools. Based on the usage pattern of the current e-commerce website, we conceptualized the cross-platform mobile application and developed using React-Native. Since repeat buyers are at the forefront of this project, the app has a unique feature that allows the user to reorder from past orders, and simultaneously edit variant and quantity while doing so.

EXPECTED OUTCOME

Repeat buyers to increased

Decrease in time to check-out.

Increase in profit margin.

Effective implementation of AI to reduce back office cost

THE PROBLEM

Our client has several Gaming-machines distributed in multiple locations. Each machine captured the usage log and its corresponding game data, and it was updated on a central server once every midnight. The data was then exported to a spreadsheet and collated with all previous data to generate updated reports about machines. This process was cumbersome and exposed to human error. So the client engaged Assystant to build a reporting system that would mitigate the risk of human error and update reports faster than before.

OUR SOLUTION

We collaborated with the client to elicit requirements and document them. After gathering and analysing the requirements, we captured the data, collated it, and processed it for reporting. Then we utilised the vetted data to create visualisations using a reporting tool. Our strategy was to avoid human intervention in the data processing stage and show the data in a filterable dashboard.

OUTCOME

The implementation of the new system helped the company to mitigate the risk of human error. It reduced backend operational costs and increased productivity.

Maximizing Sales Efficiency with a Custom CRM Solution

Intro

The client is a mid-scale chemical manufacturing company that manufactures paints, adhesives, waterproofing membranes, and other chemical-based products. The company is headquartered in India and sales its product across the nation. The annual revenue of the company is $25million+.

The problem

The client has a distributed sales team and was using an off the shelf Customer Relationship Management(CRM) software to manage its sales team. It was paying a monthly subscription fee to use the software. However, the sales team was rarely using it. The client realised that the software was too complicated to use. So, the client engaged Assystant to build a custom solution to tackle the challenge.

Our Solution

We held a workshop with our client’s sales team to understand their existing sales processes and the problems they faced in their legacy software. We analyzed the given situation and came up with a concept solution. Then we implemented the solution in phases and tracked the success with appropriate key performance indicators(KPI). Our strategy was to prevent disrupting their existing sales processes and develop the solution as a sales enabler.

OUTCOME

The sales team adopted the solution without any training.
The company reported an increase in sales productivity by 25%(calculated based on the number of sales visits) in the first month after implementation into production.

MVP development for an startup lead to funding

Intro

The client is a Dubai based HRTech Startup, which is founded by talented business people with global professional education and industry experience. The Startup aims to transform workplace culture by providing insights about how an employee feels about the workplace.

The problem

Like many early-stage startup founders, our client had a clear vision about the business and the problem they are targeting to solve. They also had large enterprise clients waiting to subscribe to the product. However, they did not have an in-house technology team to deliver the solution and run the demo with their prospects. So they engaged Assystant as a technology partner for application development and maintenance.

Our Solution

Our team collaborated with the client to elicit the requirements. We consulted our client to release the project in a phased manner, with the MVP being the first phase. Owing to the time constraint to release the MVP, we devised a strategy to breakdown the project into multiple modules, develop simultaneously with available resources.

OUTCOME

We developed the project on time, and the client was able to onboard the first enterprise client.
The client also raised seed funding for further growth of the startup.

Unleashing E-commerce Growth with a 50% Drop in Bounce Rate

THE PROBLEM

As a growth-oriented retail company, our client was concerned about the bounce rate in the e-commerce portal and low conversion rates. So the client engaged Assystant to consult and provide a solution to the case.

OUR SOLUTION

Our team analyzed the data from Google Analytics and concluded with three hypotheses to solve the problem. One, the e-commerce website had scope to improve mobile optimization, reduce bounce rate. Two, a discount for repeat buyers can increase loyalty, increase conversion. Three, gamification for the users, reduce bounce rate, increase conversion. We collaborated with the client’s marketing team and released the features in phases and tracked the success of the solution with appropriate metrics.

OUTCOME

Our solution helped our client see a drop in the bounce from original traffic by 50% and an increase in conversion rate from earlier 0.5% to 0.6% in the first month after full production of the project.