Retail and E-Commerce

Due to COVID-19 and rapid technology advancement, retail and e-commerce are undergoing a major transformation and steadily becoming more efficient and customer-centric than ever.
A recent study conducted by Zebra Technologies on the anticipated future trends in the retail sector revealed that around 60% of the retailers are expected to adopt automation across all the key functions by 2021
A transformation partner dedicated to Retail and E-Commerce Professionals

Managing e-commerce functions can be time-consuming without the right tools and business strategy. As demands, inquiries, and orders increase, data entry and processing tasks become repetitive, harder to manage, and burdensome. These are menial tasks that can be automated, and that can result in quicker response time and higher productivity from employees whose backend workloads are relieved.

Using Leaniar’s intelligent automation solutions, retailers can build integrated systems that can pull relevant data from the marketplace, alert the management of arising issues, update inventory instantly, and send order updates to customers in real-time.

From technological decisions to purchase and deployment, we are by your side throughout your project cycle. With you, we analyze your environment, find the best solutions, offer a review of purchasing vehicles and preferred solutions, and lead the project until its deployment. From start to finish, we remain a partner of trust and excellence.


What we offer to the Retail and E-Commerce Sectors

Automating Inventory Updates
With Leaniar Intelligent Automation, retailers can automate the whole process of reading images (e.g. making any necessary modifications) and uploading the same to respective product folders across the site.
Retail and E-Commerce Content Creation
Writing product listings for individual products is a repetitive task, and it requires finding content specialists who can populate and keep them up to date with the information that the buyer needs. All this is done using a Content Management System (CMS), based on data sourced from multiple locations. 

Leaniar can reduce complexity and speed up this task. Our Intelligent Automation can pull the information from various pre-ordained data points, and input it into the correct fields. This reduces the need for designated content specialists or at least reducing their workload, allowing them to focus more creative and analytical work.

Product Categorization
Product categorization is one of the most important and the most ignored functions of the retail industry. There have been instances where a particular product is available on an e-commerce website, but the customer fails to find it owing to poor product categorization done by the retailer. Proper taxonomy is essential for seamless customer experience. However, with millions of products sold in e-commerce, the scope for human error also increases. Leaniar’s Intelligent Automation can assign attributes and categorize products based on customized product mapping rules. 
Supply-Chain Management
Dealing with getting products to the consumer, supply chain management is one of the most important considerations for retail and e-commerce organizations. Leaniar Intelligent Automation can add security and speed to the entire logistics process, from inventory management to shipping and order monitoring.  

Our solutions can send notifications on the order status, keep retailers alert about inventory and other tasks involved in shipping. They can also be turned to predictive applications, by taking into account historical data, and alerting when similar patterns of demand begin to show, or automatically reordering stock that’s selling fast. 

Returns Processing
The increasing use of customer-oriented retail practices especially in retail and e-commerce adds up the tasks like product returns to the various retail processes. Processing returns manually is an extremely time-consuming task adding unnecessary costs to each transaction. Leaniar’s Intelligent Automation can handle the return, which includes a series of repetitive steps: sending a message confirming receipt of the return, updating the inventory system, making the payment adjustment to the customer, ensuring that the internal billing system is updated, and so on.
Customer Service
According to IBM’s report, “In a 6-minute customer service call, 75% of that time is devoted to agents doing manual research, with valued customer interaction at a dismal 25%.” Repetitive tasks take a long time, including seeking customer details, sorting & connecting. Leaniar’s Intelligent Automation is fast and effective thereby quickly tracking customer information through several systems. This helps employees to reduce lead times, ensuring a better support experience.

Chatbots are a popular choice with most of the retailers today. They come with the capability to fulfill customer requests instantly rather than passing it to the service representative.

Our solutions also defend against spammers and ensure that low-priority and unimportant customer service requests don’t take up unnecessary time and effort, thereby, employees can genuinely focus on real customer issues.

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What is Hyperautomation? Gartner calls it “Hyperautomation”, Forrester calls it “Digital Process Automation” and IDC calls it “Intelligent Process Automation”. Hyperautomation brings together several components that traditionally were separate and siloed including process and task mining, enterprise process automation, citizen development, AI/ML, compliance and governance, test automation and insights/dashboarding. Orchestrating these components within one framework or platform accelerates data integration and real-time insights. Those insights can then be used to cultivate the pipeline of further automations.

Leaniar's extensive experience with all Hyperautomation technologies helps organizations accelerate the following goals:

  1. Enable the modern workforce
  2. Transform through Business and IT Alignment
  3. Leverage AI to enable end-to-end automation
  4. Provide important insight into ROI from automation

For more information on specific Hyperautomation components please review the different sections below and knowledge article links within each section.


What is Robotic Process Automation?
Robotic Process Automation is the technology that allows anyone today to configure computer software, or a “robot” to emulate and integrate the actions of a human interacting within digital systems to execute a business process. RPA robots utilize the user interface to capture data and manipulate applications just like humans do. They interpret, trigger responses and communicate with other systems in order to perform on a vast variety of repetitive tasks. Only substantially better: an RPA software robot never sleeps and makes zero mistakes.

How is Leaniar RPA different from other enterprise automation tools?

In contrast to other, traditional IT solutions, Leaniar RPA allows organizations to automate at a fraction of the cost and time previously encountered. Leaniar RPA is also non-intrusive in nature and leverages the existing infrastructure without causing disruption to underlying systems, which would be difficult and costly to replace. With Leaniar RPA, cost efficiency and compliance are no longer an operating cost but a byproduct of the automation.

  • Fast benefit realization
  • Minimal upfront investment
  • No disruption to underlying systems
  • Led by the business, with support from IT
  • Highly scalable, adapts to changing business environment

Knowledge Articles:

RPA vs. Traditional Automation

RPA Use Cases

RPA Implementation - A Step by Step Guide

Artificial Intelligence

Artificial intelligence is a foundational catalyst for advanced process automation and human augmentation and engagement.  Artificial intelligence capabilities such as machine learning (ML), natural language processing (NLP), intelligent optical character recognition (OCR), and AI computer vision can now be included with RPA so that robots can read, see, and process more 'cognitive' work.

At Leaniar, we focus on the fusion between Artificial Intelligence and Robotic Process Automation (RPA) as this has been both a challenge and turning point for companies looking to add cognitive capabilities for more complex, multi-variance process automations.  While RPA streamlines rules-based business processes, ML algorithms have an extraordinary capacity to automate decision making based on intuition. By integrating custom-built Machine & Deep Learning models with the RPA platform, businesses can achieve the best of both worlds.

Knowledge Article:

The Difference Between Robotic Process Automation and Artificial Intelligence

Process Discovery

Process discovery is mainly concerned with the identification of process models from process execution logs. The process log is an audit trail that contains a sequence of events that describe the activities that were carried out in order to complete a certain business process. In general, process discovery algorithms aim to find a process model that best describes the given process log. Process mining techniques can be used for various process discovery tasks, such as identifying the start and end points of a process, finding out how often a certain task is executed, or discovering which resources are used in a process. By applying process mining techniques, organizations can get a better understanding of their business processes and identify potential areas for improvement.  Put another way, value of process mining is its ability to see through the noise. To put it another way, imagine your company as a human body. Like the human body, a company is a complex system of elements that need to function together to remain 'healthy.'

Leaniar Process mining is a cutting-edge part of BPM and focuses on gathering enterprise data (referred to as event logs) from corporate IT systems for further analysis. Based on event logs, process mining software extracts existing data about what happened in a process and when. Then, the software algorithms translate the data into comprehensive language and turn logs into a visual workflow. This is what you can analyze! Looking at the actual end-to-end process you can spot any deviation or bottleneck.


Leaniar Process mining is like an x-ray for your organization. You can use it to detect and diagnose any irregularities in your processes. It allows you not only to see where the problem is but also to understand its cause. You can even track how the problem influences other 'organs' and how to prevent its recurrence.

Crowdsourcing Process Automation

Crowdsourcing task automation is a collaborative approach to identifying task automation candidates, estimating ROI and managing pipeline via a task repository tool. The goal is to accelerate the adoption of RPA across your organization, create awareness of automation opportunities and improve automation change management.
This puts business process experts and citizen developers in the driver seat of automation initiatives.

Key Features:

  • Task Identification - Submit your own ideas/requests for automation through a collaborative task repository tool (e.g. UiPath Automation Hub)
  • Pipeline Management - Your company’s automation plans, their status, expected benefits/ROI, and other important details are displayed in one single place. Users can review the pipeline and provide inputs by voting on the ideas/requests.
  • Process & Documentation Bank - A central repository containing all the key documents related to a process selected as a candidate for automation.
  • Integration with Task Capture tools - Task Capture tools record the user executing the task steps.  This recording can then be used to create the Process Design Document (PDD).  The recording output identify the current state of the task and the user will then need to update the PDD with more task details (i.e. inputs, task exceptions, future state flow, automation benefits, etc.) before the automaton can begin.
Advanced Analytics and Insights

At LEANIAR, we focus on RPA analytics solution that tracks, measures, and forecasts the performance of your entire automation program—so you can propel your automation journey to the next level.

Advanced analytics to measure and demonstrate the ROI of automation and its impact based on business outcomes that matter to your company.


Business Process Re-Engineering (BPR)
Business process reengineering (BPR) is an organizational transformation approach whereby tasks are redesigned and optimized to obtain a specific business outcome. At Leaniar, we leverage BPR to analyze workflows within and between departments to optimize end-to-end processes and eliminate tasks that do not provide tactical or strategic value. 
Lean Transformation

Lean is the process of organizational transformation with the goal of process efficiency. The lean transformation journey at Leaniar will help organizations to identify, eliminate or optimize wasteful activities. Our goal is to enable business process teams to find ways to deliver more value to customers faster and to practice continuous process improvement as part of daily work.

Key elements of Lean Transformation Framework are as follows:
⦁ Situational Approach - What is the Purpose of the Change?
⦁ Process Improvement – How are we improving the work?
⦁ Capability Development – How are we building capability?
⦁ Management System – What leadership behavior and management systems are required?
⦁ Basic Thinking, Mindset, Assumptions – What basic mindset and cultural change required?

Six Sigma Process Improvement

The process improvement journey contains analytics at its core and Six Sigma as a measurement-based strategy for organizational transformation. Leaniar's Six Sigma certified team will focus on a set of practices designed to identify, analyze and remedy causes of defect within a process or product. Our Lean Six Sigma initiative will leverage the best of both approaches to solve problems of a company by identifying the issues, thinking of an efficient way of solving them and increasing quality of service by reducing variability.

Philosophy: The philosophical perspective of Six Sigma views all work as processes that can be defined, measured, analyzed, improved, and controlled. Processes require inputs (x) and produce outputs (y). If you control the inputs, you will control the outputs. This is generally expressed as y = f(x).

Target Operating Model

A Target Operating Model (TOM) is the desired state of operations, which enables the application of a corporate strategy or vision to a business or operation. At leaniar, we believe that the TOM is the bridge between design and execution. Our TOM design will create a blueprint showcasing how to deliver strategy and how people, processes and technology integrate to support the intended customer journeys.

Additional notes:
The Operating Model is HOW a business functions, including WHAT capabilities – the processes, data, people and systems it required to keep itself running – which need to be applied at the right time (WHEN) and in the right place, in different locations (WHERE). TOM is a high-level representation of how a company can best be organized to more efficiently & effectively deliver and execute on the organization’s strategy. It provides a common understanding of the organization by allowing people to visualize the organization from a variety of perspectives across the value chain.

The procedure is divided into six categories:

  • Optimization: Size, shape, structure and performance of the company can be optimized by the TOM
  • Preparation for transformation: Identification of gaps between the current and target state of the company and the determination of dependencies and impact of the change
  • Consolidation: Different business areas or divisions should be brought together. This ensures the alignment of key components (people, culture, technology, processes, etc.)
  • Strategic planner: The operational implementation of the new business strategy requires clear communication of the principles and objectives
  • Consensus building: The TOM should include a concrete set of structural views
  • Cost reduction: Identification of cost reduction potential and company-related inefficiencies