Pi-Systems

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Overview

$10,000+

Min Project Size

$25 - $49/hr

Avg Hourly Rate

10 - 49

Employees

2019

Year Founded

ABOUT PI-SYSTEMS

Driving Growth for small business

Pi-Systems is a technology partner specializing in Microsoft solutions, assisting organizations in modernizing their operations, automating processes, and obtaining real-time business insights through ERP, CRM, cloud services, and tailored application solutions.

LANGUAGES SPOKEN

EnglishHindi

HIGHLIGHTS

$10,000+

Min Project Size

$25 - $49/hr

Avg Hourly Rate

10 - 49

Employees

2019

Year Founded

Services

Focus

Industries

Clients

Services Provided

20% AI Strategy & Roadmap Consulting

15% Machine Learning Model Development

15% AI-Powered Document Processing

25% Workflow Automation (Zapier / Make / n8n)

10% IT Staff Augmentation

15% Other IT Consulting and SI

About the Team

OUR STORY

**Our Background** **IMRAN S | Founder & CEO** With more than 20 years of experience in technology and US investment banking, Imran is an expert in healthcare solutions and a recognized authority in AI and data strategy. He merges strategic business insight with extensive technical expertise, ensuring that solutions meet both current business demands and long-term strategic goals. **JEGAN | Co-Founder & CTO** Bringing over 20 years of experience in technology and US wealth management, Jegan is a specialized expert in Microsoft platforms.

Portfolio

Retail & Consumer Services

Region: USA – California, Texas Representative Project • Omnichannel Retail Order Intelligence Dashboard (Retail Order Tracking Dashboards) Are you finding it difficult to gather retail orders from PDFs, Excel files, and CSVs across different regions and to obtain timely insights? This project automates the process of ingesting flat files into a data warehouse and utilizes Power BI dashboards for tracking KPIs by product and region. Technologies (Overview) Microsoft Power Platform (Power BI, Power Apps), Azure Data Services, SQL Databases Business Impact • Reduction in Processing Time: Manual reporting reduced from approximately 2 days per month to nearly real-time dashboards (around 95% faster) • Improvement in Accuracy: Manual accuracy increased from about 90% to 99.8% through automation • Increase in Throughput: Consolidated reports improved from one per week to daily automated updates • Annual Labor Cost Before Automation: Approximately USD $120,000 • Annual Labor Cost After Automation: Approximately USD $30,000 • Net Annual Savings: About USD $90,000 (a 75% decrease) • Payback Period: Less than 4 months

Manufacturing & Industrial Services

Region: USA – Ohio, Michigan Project Overview  Smart Laundry Operations & Sustainability Analytics (Laundry Performance Analytics) Are your teams conducting manual checks on machine performance and utility usage without real-time fault notifications or downtime tracking? This system monitors machine health, tracks usage, schedules preventive maintenance, and reports on water and energy consumption. Real-time alerts identify which machine is experiencing issues. Technologies Used: Microsoft Power Platform, Azure Data Services, Modern Web Frameworks Business Outcomes: Processing Time Reduction: Reduced from approximately 3 hours per day of manual checks to just 15 minutes per day of automated monitoring (around 92% faster)  Accuracy Improvement: Increased from around 88% accuracy in manual checks to 99.5% accuracy in automated monitoring  Fault Detection: Quickly identifies the malfunctioning machine within seconds, allowing for repairs within the same hour  Downtime Reduction: Decreased from approximately 8 hours per month per machine to under 1 hour per month (roughly 87% less downtime)  Annual Labor Cost Prior to Automation: Approximately USD $85,000  Annual Labor Cost Post Automation: Approximately USD $20,000  Net Annual Savings: Approximately USD $65,000 (76% reduction)  Payback Period: Less than 6 months

Logistics & Transportation

Region: Singapore Representative Project: - Automated Logistics Document Intelligence (Logistics Document Extraction) Is your logistics team manually extracting information from invoices and manifests, which is slowing down operations and increasing the likelihood of errors? This project categorizes incoming logistics documents using specialized algorithms and then utilizes Intelligent Document Processing (IDP) to extract critical data such as invoice numbers and bills of lading. Technologies Used: - AI/ML Classification Models - Intelligent Document Processing (IDP) Platforms - Python-based Automation Frameworks Business Impact: - **Processing Time Reduction**: Decreased from approximately 15 minutes per document to under 2 minutes (about 87% faster) - **Accuracy Improvement**: Increased from around 92% manual accuracy to 99.5% automated accuracy - **Throughput Increase**: Increased from approximately 400 documents per day to over 3,000 documents per day without hiring additional staff - **Annual Labor Cost Before Automation**: Approximately USD $480,000 (6 full-time equivalents) - **Annual Labor Cost After Automation**: Approximately USD $120,000 (1.5 full-time equivalents) - **Net Annual Savings**: Approximately USD $360,000 (75% reduction) - **Payback Period**: Less than 6 months

1 more project

Projects & Clients

Project Size & Rate

Minimum Project Size

$10,000+

Average Hourly Rate

$25 - $49/hr

Pricing Snapshot

Min Project Size

$10,000+

Avg Hourly Rate

$25 - $49/hr

Cost Rating

N/A

What Clients Have Said

“

"Pi-Systems delivers quality projects within budget and timeline expectations based on verified client feedback."

Based on verified reviews and internal benchmark data

MOST COMMON PROJECT SIZE

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Select a service

AI Strategy & Roadmap Consulting

Machine Learning Model Development

AI-Powered Document Processing

Workflow Automation (Zapier / Make / n8n)

IT Staff Augmentation

Other IT Consulting and SI

Locations

Headquarters

No.56, 1st Susheela nagar, Kovilampakkam

Chennai, Tamil Nadu, India 600129

+919790903863

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