CASE STUDY

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

The Challenge

Texas’ energy market is deregulated, meaning in most parts of the state consumers have the ability to choose their retail electric provider (REP) on an open market:

  • To set competitive market prices, REPs must estimate the amount of energy they need to provide their customers for any given hour on any given day.
  • Energy is traded in hourly segments on the Nymex, and REPs have traditionally relied on decades-old algorithms to determine the correct amount of power to buy.
  • These algorithms generally yield conservative estimates, leading REPs to purchase more energy per hour than required.
  • This over-purchasing results in tens of thousands of dollars in wasted overhead to the REP annually.

The Solution

thinkbridge is developing a far more accurate load prediction model to help REP’s avoid the lost revenue associated with the traditional method of purchasing energy. Based on REST/HTTP-based EDI, we pull 15-year historical energy load data and analyze it using our Machine Learning service for Analytics and Prediction (BigML).

Key components of the solution included:

  • Forecasting models based on our Cloud Services and Big Data competencies are then produced for the REPs.
  • Initial test runs have found our model to be a much more accurate forecasting tool for purchasing the correct amount of energy on the Nymex.
  • Our model provides REPs with a much greater ROI compared to the software traditionally used to estimate energy needs.
  • Additionally, the depth and accuracy of our data allows us to more precisely forecast metrics like consumer load patterns and revenue generated per customer.

Read more about how we work using our accelerators, context expertise, and global delivery.

Triangle svg

Result

  • Reduction in Overhead Costs: Achieved a 35% reduction in annual overhead costs for REPs by significantly lowering the excess energy purchased, resulting in substantial savings on surplus energy costs.
  • Improvement in Load Forecasting Accuracy: Increased forecasting accuracy by 40%, allowing REPs to make more precise energy purchases and reduce the frequency of surplus energy bought on the open market.
  • Increase in Revenue Per Customer: Boosted revenue per customer by 20% due to optimized purchasing and reduced wastage, improving overall profitability for REPs and enhancing customer satisfaction through competitive pricing.

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.

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Valuation Multiple Improvemen
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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
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Improvement Of On-time Trips
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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.

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10x
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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
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30%
EBITDA Improvement
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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
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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
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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
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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
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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
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CASE STUDY

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.

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

The Challenge

Texas’ energy market is deregulated, meaning in most parts of the state consumers have the ability to choose their retail electric provider (REP) on an open market:

  • To set competitive market prices, REPs must estimate the amount of energy they need to provide their customers for any given hour on any given day.
  • Energy is traded in hourly segments on the Nymex, and REPs have traditionally relied on decades-old algorithms to determine the correct amount of power to buy.
  • These algorithms generally yield conservative estimates, leading REPs to purchase more energy per hour than required.
  • This over-purchasing results in tens of thousands of dollars in wasted overhead to the REP annually.

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

thinkbridge is developing a far more accurate load prediction model to help REP’s avoid the lost revenue associated with the traditional method of purchasing energy. Based on REST/HTTP-based EDI, we pull 15-year historical energy load data and analyze it using our Machine Learning service for Analytics and Prediction (BigML).

Key components of the solution included:

  • Forecasting models based on our Cloud Services and Big Data competencies are then produced for the REPs.
  • Initial test runs have found our model to be a much more accurate forecasting tool for purchasing the correct amount of energy on the Nymex.
  • Our model provides REPs with a much greater ROI compared to the software traditionally used to estimate energy needs.
  • Additionally, the depth and accuracy of our data allows us to more precisely forecast metrics like consumer load patterns and revenue generated per customer.

Read more about how we work using our accelerators, context expertise, and global delivery.

Result

Result

  • Reduction in Overhead Costs: Achieved a 35% reduction in annual overhead costs for REPs by significantly lowering the excess energy purchased, resulting in substantial savings on surplus energy costs.
  • Improvement in Load Forecasting Accuracy: Increased forecasting accuracy by 40%, allowing REPs to make more precise energy purchases and reduce the frequency of surplus energy bought on the open market.
  • Increase in Revenue Per Customer: Boosted revenue per customer by 20% due to optimized purchasing and reduced wastage, improving overall profitability for REPs and enhancing customer satisfaction through competitive pricing.

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

thinkbridge is developing a far more accurate load prediction model to help REP’s avoid the lost revenue associated with the traditional method of purchasing energy. Based on REST/HTTP-based EDI, we pull 15-year historical energy load data and analyze it using our Machine Learning service for Analytics and Prediction (BigML).

Key components of the solution included:

  • Forecasting models based on our Cloud Services and Big Data competencies are then produced for the REPs.
  • Initial test runs have found our model to be a much more accurate forecasting tool for purchasing the correct amount of energy on the Nymex.
  • Our model provides REPs with a much greater ROI compared to the software traditionally used to estimate energy needs.
  • Additionally, the depth and accuracy of our data allows us to more precisely forecast metrics like consumer load patterns and revenue generated per customer.

Read more about how we work using our accelerators, context expertise, and global delivery.

Result:

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

Result

  • Reduction in Overhead Costs: Achieved a 35% reduction in annual overhead costs for REPs by significantly lowering the excess energy purchased, resulting in substantial savings on surplus energy costs.
  • Improvement in Load Forecasting Accuracy: Increased forecasting accuracy by 40%, allowing REPs to make more precise energy purchases and reduce the frequency of surplus energy bought on the open market.
  • Increase in Revenue Per Customer: Boosted revenue per customer by 20% due to optimized purchasing and reduced wastage, improving overall profitability for REPs and enhancing customer satisfaction through competitive pricing.

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