CASE STUDY

Orchestrating End-To-End Digital Transformation For A Retail Apparel Giant

thinkbridge partnered with a major apparel brand to cut manual data entry by 75% and reduce cycle times by 35%, delivering a clear, AI-ready transformation roadmap in just 6 weeks.
75%
Manual Data Entry Eliminated
35%
Reduction In Cycle Time
18%
Accuracy Improvement

The Challenge

This was a textbook example of a business that had grown faster than its systems. The legacy technology stack—composed of outdated homegrown tools, Excel files, paper forms, and an underutilized SAP B1 ERP—created:

  • Process fragmentation and handoffs that caused frequent delays.
  • Duplicate data entry and rework, particularly across production and retail functions.
  • Limited ability to scale operations, especially as SKU counts and channel complexity grew.
  • Lack of timely insights, since data sat in silos and reporting was manual.
  • Zero automation in high-volume, repetitive workflows such as purchase order processing, production tracking, or returns handling.

The organization was investing energy just to survive day-to-day operations, with no capacity left to innovate or optimize.

The Solution

We deployed a three-phase engagement model over a 6-week period that enabled both strategic clarity and actionable momentum:

1. Deep-Dive Process Discovery and Diagnostics

We conducted site visits, job shadowing, stakeholder workshops, and system audits. Our methodology included:

  • Value Stream Mapping (VSM) across core processes: Order-to-Cash, Procure-to-Pay, Make-to-Ship, and Merchandising.
  • Process Mining and Manual Effort Tracking to identify bottlenecks and inefficiencies.
  • System Landscape Analysis to map data flow and integration gaps.
  • AI & Automation Readiness Framework to evaluate opportunities for intelligent enablement.

2. Future State Design and Capability Blueprint We designed an ideal future state based on:

  • Target business outcomes like real-time visibility, faster decision cycles, and scalable growth.
  • Process redesign for simplicity, flow, and automation enablement.
  • Capability-based planning, decoupling tech investments from monolithic upgrades.

3. Digital Transformation Roadmap and Playbook

We delivered a comprehensive, phased roadmap including:

  • Quick Wins (first 90 days)
  • Foundational Layer (core platforms, ERP/SaaS realignment)
  • Intelligent Layer (automation and AI initiatives)
  • Change Management Framework and governance cadence
Triangle svg

Result

Despite the engagement’s strategic nature, execution began alongside planning. Tangible results from the early quick wins included:

  • Cycle time reduced by 35% in inventory reporting and procurement approval processes.
  • Over 75% manual data entry eliminated in production and procurement workflows.
  • Process visibility improved from 0% to near real-time in pilot departments.
  • Forecasting pilot projected 18% accuracy improvement in seasonal SKU demand.
  • Employee productivity improved in departments where automation reduced rote tasks, enabling reallocation to higher-value work.

Conclusion

thinkbridge doesn’t just talk about digital transformation—we engineer it with clarity, velocity, and accountability.

This apparel client’s journey is a testament to how legacy-heavy businesses can modernize without disruption. Our unique blend of thinking grounded in outcomes, value realization, pragmatic automation, and AI-readiness by design ensured the transformation wasn’t theoretical—it was staged, scoped, and already underway.

We unlocked not only immediate operational savings but also a scalable foundation for continuous digital innovation.

If you’re buried under manual effort, stitched together by legacy tech, and unsure how to move forward, we can help you design and implement a better operating system for your business.

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thinkbridge partnered with a major apparel brand to cut manual data entry by 75% and reduce cycle times by 35%, delivering a clear, AI-ready transformation roadmap in just 6 weeks.

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75%
Manual Data Entry Eliminated
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Reduction In Cycle Time
18%
Accuracy Improvement

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How to have a Tech-Forward Business

That will actually increase your bottom line
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That will actually increase your bottom line
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CASE STUDY

Orchestrating End-To-End Digital Transformation For A Retail Apparel Giant

thinkbridge partnered with a major apparel brand to cut manual data entry by 75% and reduce cycle times by 35%, delivering a clear, AI-ready transformation roadmap in just 6 weeks.

75%
Manual Data Entry Eliminated
35%
Reduction In Cycle Time
18%
Accuracy Improvement

The Challenge

This was a textbook example of a business that had grown faster than its systems. The legacy technology stack—composed of outdated homegrown tools, Excel files, paper forms, and an underutilized SAP B1 ERP—created:

  • Process fragmentation and handoffs that caused frequent delays.
  • Duplicate data entry and rework, particularly across production and retail functions.
  • Limited ability to scale operations, especially as SKU counts and channel complexity grew.
  • Lack of timely insights, since data sat in silos and reporting was manual.
  • Zero automation in high-volume, repetitive workflows such as purchase order processing, production tracking, or returns handling.

The organization was investing energy just to survive day-to-day operations, with no capacity left to innovate or optimize.

MEET THE TEAM

img

Anand Krishnan

Managing Partner & CEO

sai-img

Sai Ganesh

Managing Partner & Chief Scientist

img
Shamik Mitra

Managing Partner & Chief Delivery Officer

Andy K-img
Andy Komandur

Vice President-Growth
APAC & GCC

img
Andrew Zarkadas

Vice President - Growth Americas

MEET THE TEAM

img

Anand Krishnan

Managing Partner & CEO

sai-img

Sai Ganesh

Managing Partner & Chief Scientist

img

Shamik Mitra

Managing Partner & Chief Delivery Officer

Andy K-img

Andy Komandur

Vice President-Growth
APAC & GCC

img
Andrew Zarkadas

Vice President - Growth Americas

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The Solution

We deployed a three-phase engagement model over a 6-week period that enabled both strategic clarity and actionable momentum:

1. Deep-Dive Process Discovery and Diagnostics

We conducted site visits, job shadowing, stakeholder workshops, and system audits. Our methodology included:

  • Value Stream Mapping (VSM) across core processes: Order-to-Cash, Procure-to-Pay, Make-to-Ship, and Merchandising.
  • Process Mining and Manual Effort Tracking to identify bottlenecks and inefficiencies.
  • System Landscape Analysis to map data flow and integration gaps.
  • AI & Automation Readiness Framework to evaluate opportunities for intelligent enablement.

2. Future State Design and Capability Blueprint We designed an ideal future state based on:

  • Target business outcomes like real-time visibility, faster decision cycles, and scalable growth.
  • Process redesign for simplicity, flow, and automation enablement.
  • Capability-based planning, decoupling tech investments from monolithic upgrades.

3. Digital Transformation Roadmap and Playbook

We delivered a comprehensive, phased roadmap including:

  • Quick Wins (first 90 days)
  • Foundational Layer (core platforms, ERP/SaaS realignment)
  • Intelligent Layer (automation and AI initiatives)
  • Change Management Framework and governance cadence

Result

Result

Despite the engagement’s strategic nature, execution began alongside planning. Tangible results from the early quick wins included:

  • Cycle time reduced by 35% in inventory reporting and procurement approval processes.
  • Over 75% manual data entry eliminated in production and procurement workflows.
  • Process visibility improved from 0% to near real-time in pilot departments.
  • Forecasting pilot projected 18% accuracy improvement in seasonal SKU demand.
  • Employee productivity improved in departments where automation reduced rote tasks, enabling reallocation to higher-value work.

Case Studies

Browse our case studies ​

AI-Driven Demand Forecasting Saves $1M for REPs

A Texas retail electric provider needed better energy forecasts to offer competitive prices. We built a machine learning model using historical load data.

Read More
2x
Increase In Manager Span Of Control
75%
Faster Time To Monthly FInancials
100%
Improvement In Accuracy

Transforming A Recruitment Process Outsourcing Firm With A Tech-First Platform

RPO firm transforms with thinkbridge, achieving 1.6x EBITDA, 6x valuation growth, and 2x revenue—without adding headcount.

Read More
6x
Valuation Multiple Improvemen
1.6x
Improvement In EBITDA
2x Revenue
Without Adding Headcount

Transforming A Leading Non-Emergency Medical Transportation Provider Into A Scalable, AI-Driven Operation

Dash Solutions transformed into a fintech leader—serving 10x more clients, launching products 8x faster, and tripling growth—thanks to a scalable, API-first platform built with thinkbridge.

Read More
20%
Improvement Of On-time Trips
25%
Drop In Member Grievenaces
30%
Cut In Call Wait Times

Client Success Story: Dash Solutions Leverages Technology to Evolve Into A Fintech Powerhouse

Dash Solutions used thinkbridge to 10x client capacity, 3x growth, and launch products 8x faster—transforming into a true fintech powerhouse.

Read More
3x
Growth Without Increasing Headcount
10x
Increase In Client Capacity
8x
Faster Product Launches

Consero Transforms Into A Finance-As-A-Service Firm With A Tech-First Approach Through The SIMPL Platform

thinkbridge helped Consero launch the SIMPL platform—driving 40% revenue growth, 30% EBITDA gain, and scaling FaaS operations without added overhead.

Read More
40%
Revenue Increase Without Overhead Growth
30%
EBITDA Improvement
2x
Accounts Overseen

Rebuilt To Scale, Delivered On Schedule: How thinkbridge Transformed Timerack’s Platform Into A Growth Engine

thinkbridge rebuilt Timerack’s legacy platform into a scalable, AI-ready solution—launched in 4 months, boosting leads, retention, and performance.

Read More
40%
Drop In Support Tickets
27%
Increase In Qualified Leads Post-Event
30–50%
Reduction In Future Development Cycles

From Zero To Launch In 60 Days: How thinkbridge Helped A Payment Platform Ship A High Impact Mobile Payments Platform In Record Time

Delivered a full-featured mobile payments app for a payment platform in just 8 weeks—50% faster than planned—using Flutter, internal accelerators, and agile delivery to meet tight budget, time, and quality targets.

Read More
50%
Faster Than The Planned
100%
Core Functionality Shipped
Maintained Budget Discipline

How thinkbridge Transformed A Leading Optical Retailers Operations Across Asia with Strategy-Led Digital Execution

thinkbridge helped the company move beyond spreadsheets to scalable, real-time retail operations—unlocking the full ROI of their ERP investment with Power BI, Power Apps, and a structured IT delivery model, all within six months.

Read More
48–72 hours
Approval Turnaround Time
3x
IT Enhancement Delivery Ad-hoc
70%
Less Excel Dependency

How A Next-Gen FinTech Platform And thinkbridge Built A Full-Featured Neo-Banking App In 90 Days

In just 90 days, thinkbridge helped a next-gen fintech platform launch a full-featured neo-banking app for underserved Asia-Pacific regions—cutting development time by 50%, slashing costs, and setting the foundation for long-term fintech growth.

Read More
45–50%
Savings
60%
Reduced Future Maintenance Burden
67%
Faster Than Industry Avg.

Orchestrating End-To-End Digital Transformation For A Retail Apparel Giant

thinkbridge partnered with a major apparel brand to cut manual data entry by 75% and reduce cycle times by 35%, delivering a clear, AI-ready transformation roadmap in just 6 weeks.

Read More
75%
Manual Data Entry Eliminated
35%
Reduction In Cycle Time
18%
Accuracy Improvement

A Digital Transformation Blueprint For A Global Pearl & Jewellery Powerhouse

thinkbridge helped a global luxury retailer cut manual work by 60% with a digital blueprint mapping 100+ processes and 35+ AI opportunities.

Read More
40–60%
Reduction In Manual Work
20–25%
Improvement In Inventory
100%
Executive Alignment Achieved

SensorsCall’s Camera-Free Senior-Care Platform, Engineered By thinkbridge

thinkbridge helped SensorsCall build a privacy-first, AI-powered senior care platform—detecting falls, anomalies, and critical sounds with 0 cameras, 2% false positives, and real-time insights across thousands of homes.

Read More
25%
More Continuous Coverage
30%
False-Alarm Reduction
100%
Homes Keep Existing Detectors

How to have a Tech-Forward Business

That will actually increase your bottom line

The Solution

We deployed a three-phase engagement model over a 6-week period that enabled both strategic clarity and actionable momentum:

1. Deep-Dive Process Discovery and Diagnostics

We conducted site visits, job shadowing, stakeholder workshops, and system audits. Our methodology included:

  • Value Stream Mapping (VSM) across core processes: Order-to-Cash, Procure-to-Pay, Make-to-Ship, and Merchandising.
  • Process Mining and Manual Effort Tracking to identify bottlenecks and inefficiencies.
  • System Landscape Analysis to map data flow and integration gaps.
  • AI & Automation Readiness Framework to evaluate opportunities for intelligent enablement.

2. Future State Design and Capability Blueprint We designed an ideal future state based on:

  • Target business outcomes like real-time visibility, faster decision cycles, and scalable growth.
  • Process redesign for simplicity, flow, and automation enablement.
  • Capability-based planning, decoupling tech investments from monolithic upgrades.

3. Digital Transformation Roadmap and Playbook

We delivered a comprehensive, phased roadmap including:

  • Quick Wins (first 90 days)
  • Foundational Layer (core platforms, ERP/SaaS realignment)
  • Intelligent Layer (automation and AI initiatives)
  • Change Management Framework and governance cadence

Result:

75%
Manual Data Entry Eliminated
35%
Reduction In Cycle Time
18%
Accuracy Improvement

Result

Despite the engagement’s strategic nature, execution began alongside planning. Tangible results from the early quick wins included:

  • Cycle time reduced by 35% in inventory reporting and procurement approval processes.
  • Over 75% manual data entry eliminated in production and procurement workflows.
  • Process visibility improved from 0% to near real-time in pilot departments.
  • Forecasting pilot projected 18% accuracy improvement in seasonal SKU demand.
  • Employee productivity improved in departments where automation reduced rote tasks, enabling reallocation to higher-value work.

How to have a Tech-Forward Business

That will actually increase your bottom line

How to have a Tech-Forward Business

That will actually increase your bottom line