works

Redesigning ARAPL RaaS’s Robotics App for Smarter Warehouse Operations

Affordable Robotic & Automation Ltd. (ARAPL) manufactures robots that work inside busy warehouses where products are constantly moving in and out — being sorted, shifted, and shipped. And as more warehouse activity became automated, one gap became obvious: operators still didn’t have a clear system to manage the robots.

The existing app was extremely minimal, it could mostly show whether robots were active. So as ARAPL’s use cases expanded, the app needed to evolve into something more holistic. Not just a redesigned interface, but a structured operations experience where teams could create and track tasks, monitor robot movement through a live map, and run daily workflows with clarity.
Image
The existing app was extremely minimal, it could mostly show whether robots were active. So as ARAPL’s use cases expanded, the app needed to evolve into something more holistic. Not just a redesigned interface, but a structured operations experience where teams could create and track tasks, monitor robot movement through a live map, and run daily workflows with clarity.

Turning a Basic Robot-Status Screen Into a Full Warehouse Operations Management System

Our design goals for ARAPL focused on one transition: from basic robot monitoring → to a structured app for managing warehouse workflows.

  • Create a complete operations layer: Move beyond “robot active/inactive” and support real warehouse management needs.
  • Build structured task creation + tracking: Enable users to create tasks, track progress, and manage warehouse movement with clarity.
  • Add live warehouse visibility through a map: Introduce a live tracking experience so operators can monitor robot movement in real time.
  • Introduce onboarding for first-time users: Design warehouse onboarding and robot onboarding so new users are in the loop.
  • Make the product feel modern and scalable: Ensure the UI reflects ARAPL’s robotics ambition: futuristic, structured, and enterprise-ready.
Image

Our Process

Pain Points

User Challenges

  • Operators couldn’t do much beyond checking if the robots were active.
  • There was no structured way to create tasks or track task progress.
  • Robot movement inside the warehouse wasn’t visible or easy to monitor.
  • First-time users had no onboarding to set up warehouses and robots smoothly.

 

Systemic Challenges:

  • ARAPL’s robots were solving real warehouse problems, but the app didn’t reflect that scale.
  • Workflows needed to support both standard and custom warehouse layouts.
  • The app had to balance “futuristic” with practical warehouse usability.

Discovery

We conducted a survey with a diverse group of users to validate what warehouse teams actually need while managing automation workflows.

Some users were still using traditional tools and expressed a need for:

  • a more user-friendly experience
  • robot tracking
  • performance statistics
  • better control and visibility
  • and multi-user readiness

 

Other users already had their own robotics systems, but were still looking for:

  • more efficiency
  • better task management
  • and more customisation

 

This research helped us define a clear direction: The app couldn’t just be a status screen, it had to function like a real operational tool.

Implementation

The redesigned ARAPL RaaS app was built to help warehouse operators manage robots and movement workflows more clearly.

  • Task Creation + Task Tracking: We introduced the ability to create tasks, track progress, and manage day-to-day warehouse activity with more structure.
  • Breaking workflows into subtasks:  We designed a system where warehouse workflows can be broken down into subtasks, allowing the app to assign them intelligently and optimize robot utilisation,  while keeping task initiation manual where needed.
  • Live Map View for robot tracking: A new map feature helps teams monitor robot movement inside the warehouse and keep an eye on overall warehouse activity in real time.
  • Warehouse onboarding + robot onboarding: We added onboarding flows that were missing earlier, so first-time users can set up: warehouse environments and robot configurations with a guided, coach-style flow.
  • Dashboard with KPIs and insights: A new dashboard layer gives managers a quick overview of key operational signals, helping them monitor daily performance without digging through multiple screens.

Outcomes

Image
Image

Outcomes

Team Monsoonfish redesigned ARAPL RaaS’s app into a structured, futuristic warehouse operations experience. We transformed the product from a limited-status tool into a system that supports: task creation and tracking, workflow structuring through subtasks, live robot tracking through a map, onboarding that improves first-time usability and KPI-level visibility for managers.

The result is an app that feels more complete, more scalable, and more aligned with ARAPL’s robotics vision.

Helping ARAPL move from “robots running” to “warehouse running smoothly”

Image
Image

Helping ARAPL move from “robots running” to “warehouse running smoothly”

  • Instead of just giving ARAPL a cleaner UI, we worked on the real gap: operators had robots, but no system to run them smoothly. So we redesigned the app around actual warehouse operations: onboarding first, then task creation and tracking, then live robot movement through a map, and finally a dashboard to monitor performance. The result is an experience that doesn’t just show that robots are “active.” It helps teams manage workflows with clarity, even as warehouse activity scales.

Impact

Business Impact

  • Stronger product maturity: The app now reflects ARAPL’s real warehouse robotics capabilities.
  • Clearer operations layer: Teams can manage tasks and workflows more meaningfully.
  • Modern digital perception: The app feels futuristic, structured, and enterprise-ready.
  • Scalable foundation: The design supports future feature expansion and customisation.

User Impact

  • Faster understanding: Users can quickly grasp robot activity and warehouse status.
  • Better visibility: Live tracking reduces guesswork during operations.
  • Smoother onboarding: First-time users can set up warehouses and robots confidently.
  • Simpler task management: Task tracking and subtasks improve daily workflow clarity.

Let’s explore your project.

Book a free slot or share your email.

Or just share your email

We’ll reach out.

Let's fix what's not working.

Understand your UX gap. Quick Chat?

Quick Chat to solve your bottlenecks

Design Creates Experiences that Facilitate Product Goals.

With over 20 years of experience, our UI/UX design studio crafts experiences that align with user expectations, helping brands achieve their business vision. We offer practical UX design services to enhance your digital product.

20 +

Years in Design

200 +

Satisfied Clients

500 +

Successful Projects

40 +

Designers On-board

Take a Look at Our Journal
Image

Google Labs is quietly building AI tools that don’t replace workflows, they sit on top of them. Learn how these contextual app layers reduce cognitive load at the exact moment users get stuck, and how to apply this thinking to your own product.

Image

The best products don’t show everything upfront they reveal complexity gradually. From Slack to Aadhaar, this “Onion Peel Design” approach helps users stay focused, confident, and in control. Instead of cutting features, the key is layering them—so users see what they need, exactly when they need it.

Image

AI features can be powerful, but users still pause before trusting them. Not because they hate AI, but because the experience doesn’t make reliability obvious. This blog explores why trust breaks in AI products and the UX patterns that help users verify outputs, stay in control, and adopt AI with confidence.

There’s a Lot Happening Behind the Scenes in Our Lab!

GPay’s Shared Wallet streamlines group expenses with centralized payments, real-time updates, and contextual notes. It enhances transparency and usability, opening new possibilities for expense management.

Image

Myntra’s Venie revolutionizes shopping with AI-driven video guidance, real-time insights, and two-way conversations. Replacing Maya, it boosts engagement and usability while unlocking new revenue opportunities.

Image

This project attempted to identify the gaps in this food delivery app and propose UI/UX design ideas to expand Swiggy in different ways for the users to use it for more than just a food delivery app, in turn setting it apart from its competitors.

Image