CCPL.AI — AI & Data Analytics Solutions
AI & Data Solutions for Growing Businesses

Transform Your
Business with
AI & Data

We help businesses analyze data, automate workflows, and build scalable AI solutions using Power BI and cloud platforms — built for real outcomes, not demos.

Delivering practical AI solutions to growing businesses globally
3–6wk
First results
delivered in
3.8×
Average ROI
on projects
67%
Reporting
time saved
Trusted by industry leaders
PepsiCo
Aurobindo Pharma
ZettaMine
NoblQ
Verint
PepsiCo
Aurobindo Pharma
ZettaMine
NoblQ
Verint
PepsiCo
Aurobindo Pharma
ZettaMine
NoblQ
Verint
📊
0%
Process Automation
Rate Achieved
🚀
Average ROI
on Engagements
⏱️
0%
Reporting Time
Saved Per Week
🎯
0%
Data Pipeline
Uptime Reliability
🔷 Built on Microsoft Azure & Power BI
☁️ Cloud platforms — AWS · Azure · GCP
🎯 Focused on real business outcomes
🛡️ GDPR compliant · Data privacy first
⚡ First results in 3–6 weeks
🤝 Direct team access · No handoffs
🔒 NDA available day one
🔷 Built on Microsoft Azure & Power BI
☁️ Cloud platforms — AWS · Azure · GCP
🎯 Focused on real business outcomes
🛡️ GDPR compliant · Data privacy first
⚡ First results in 3–6 weeks
🤝 Direct team access · No handoffs
🔒 NDA available day one
What We Build

AI & Data Services That
Actually Ship

Every service is scoped around a specific business outcome. We don't sell capabilities — we solve problems and measure success in your numbers.

🤖 AI Automation

Replace Manual Work with
Intelligent Workflows

Identify the most time-consuming manual work in your business and replace it with intelligent, reliable workflows. Document processing, approval flows, customer routing — we find the highest-ROI opportunities first.

Reduce workload by 40–80%
01
📊 Power BI

Dashboards Your Whole
Team Actually Uses

Turn scattered, raw data into clear dashboards connected to your live data so decisions happen on real numbers — not last week's exports. Interactive analytics that work for everyone, not just the data team.

Real-time clarity, not stale reports
02
🧠 Machine Learning

Custom ML Models

Prediction, classification, and anomaly detection — trained on your data, deployed in your environment, built to improve over time.

Explore ML
03
☁️ Cloud Engineering

Scalable Data Pipelines

Data warehouses and lakes on Azure, AWS, or GCP. Clean, reliable infrastructure that supports your entire data stack.

Explore Cloud
04
⚙️ AI Strategy

Find Your Highest-ROI AI

We audit your current state, find your highest-impact AI opportunities, and build a practical roadmap — no hype, no jargon.

Get Strategy Call
05
Real Work, Real Results

Case Studies: Solutions We've Built

4h→10m
Report Time
95%↓
Time Saved
Live
Data Feed
North
$88K
South
$72K
East
$61K
Power BI

Sales Performance Dashboard — Retail Distribution

The Problem

Reports from 3 spreadsheets, took 4 hrs weekly — always out of date when anyone saw them.

What We Built

Live Power BI dashboard connected to their sales DB — regional breakdowns and auto-digests.

What Changed

Reporting dropped from 4 hours to under 10 minutes. Manager reviews performance every morning.

95%
Reduction in
manual reporting time
30%
Budget Shift
↑18%
True ROAS
Multi
Sources
Paid
84%
Email
58%
Social
36%
Analytics

E-Commerce Order Analytics — DTC Fashion Brand

The Problem

Couldn't answer which channels were profitable after returns were factored in.

What We Built

Centralized analytics from Shopify, ad platforms, and returns — true channel profitability.

What Changed

Reallocated 30% of ad budget in two weeks. A product category was quietly losing money.

30%
Ad budget reallocation
within 2 weeks
↑22%
Fleet Util.
14-day
Forecast
3yr
History
Machine Learning

Demand Forecasting — Regional Logistics Provider

The Problem

Fleet scheduling done manually using last year's volumes — leading to idle vehicles or scrambles.

What We Built

A demand forecasting model on 3 years of data, outputting a rolling 14-day forecast into their scheduler.

What Changed

Fleet utilization improved 22% in Q1. Ops manager stopped getting weekend emergency calls.

↑22%
Fleet utilization
improvement Q1
80%
Auto-Proc
15hr/wk
Saved
OCR
Engine
Auto
80%
Review
15%
Manual
5%
Automation

Invoice Processing Automation — Professional Services

The Problem

Finance spent 15+ hrs/week extracting from PDF invoices, matching to POs — error-prone, tedious.

What We Built

Automated document pipeline using OCR. Invoices processed automatically — flagging only exceptions.

What Changed

Finance handles 80% fewer touchpoints on routine invoices. Hours freed for actual human judgement.

80%
Fewer manual
invoice touchpoints
1 day
Board Deck
Hourly
Refresh
5+
Sources
Stripe
Intercom
Postgres
Cloud Engineering

Data Warehouse Migration — SaaS Startup

The Problem

Data across product DB, Stripe, Intercom, and 5 spreadsheets. Cross-system queries always conflicted.

What We Built

Modern data warehouse on Azure Synapse with automated pipelines — one source of truth, refreshed hourly.

What Changed

First board deck built in an afternoon instead of a week. CEO pulls numbers himself before investor calls.

1 day
Board deck prep
down from 1 week
↓18%
Churn Rate
Weekly
Scoring
ML
Model
At-Risk
28%
Healthy
72%
Saved
65%
Business Intelligence

Customer Churn Analysis — Subscription Business

The Problem

Churn trending wrong. Didn't know which segments, when in lifecycle, or what signals came first.

What We Built

Churn dashboard + early-warning ML model scoring active customers weekly — flagging at-risk accounts.

What Changed

CS team shifted from reactive to proactive. Churn in the target segment dropped 18%.

↓18%
Churn reduction
in target segment
In Action

Data-Driven Insights for Better Decisions

What your business data looks like when properly connected, modeled, and visualized — tracking revenue, customer behavior, and performance in real time.

0%
Process Automation
↑ 18% this quarter
Average ROI
↑ 0.4× vs last year
0%
Reporting Time Saved
↑ 12% improvement
0%
Pipeline Reliability
Consistent uptime
Revenue Growth · MonthlyLive Model
Performance · By SegmentAI Analyzed
Customer Behavior · NeuralProcessing
Automation CoverageOptimized
Why Work With Us

A Different Kind of AI Partner

Most AI vendors lead with their technology stack. We lead with your problem. We work directly alongside your team, measure success by outcomes visible in your numbers, and stay involved until it actually sticks.

👤

Personalized Approach

Senior-level attention on your project — not handed to juniors after signing.

🔧

Flexible & Scalable

Engagement models that adapt to your budget, timeline, and where you actually are.

🎯

Strong Data Understanding

We start with your goals and work backwards to the solution — never the other way.

🚀

Practical Solutions

Built for your real environment, with your real data and constraints.

💬

Transparent Communication

Weekly updates, honest progress, direct access to the people building your solution.

📈

Built to Grow With You

Solutions designed to scale as your business does — no lock-in.

About Our Team

Real People.
Real Partnership.

We're not a faceless agency or offshore vendor. We're a focused team of data engineers, ML practitioners, and BI specialists who care about outcomes — not just contracts.

🤝
Direct access, alwaysYou work with the person building your solution — never a PM acting as relay.
📐
Honest scopingWe tell you what's realistic in your timeline and budget before anything starts.
🔁
Long-term thinkingWe design solutions you can maintain and grow — not ones that create dependency on us.
Meet the Team → hello@ccpl.ai
👩‍💻
👨‍🔬
👩‍📊
👨‍💼
Your dedicated team
Data Engineers · ML Specialists · BI Analysts
3–6wk
First results
100%
Senior team
NDA
Day one
Technologies We Work With

The Platforms Behind Our Solutions

Industry-leading platforms chosen for your specific needs — not a fixed tech stack forced on every project.

🔷
Microsoft
Cloud, data, and BI platform for enterprise-grade solutions
AzurePower BISynapseFabric
🟠
AWS
Scalable cloud infrastructure and managed data services
RedshiftS3GlueSageMaker
🔵
Oracle
Enterprise data management and cloud database platform
Oracle DBOCIAnalytics
🟡
SAP
ERP data integration and enterprise analytics connectivity
SAP HANABTPAnalytics
We build solutions using these platforms. We are not affiliated with, endorsed by, or an official partner of any of these companies. Platform names belong to their respective owners.
How We Work

From Conversation to Working System

Four clear steps designed to move fast without cutting corners. Real progress in weeks, not months.

01

Understand Your Business

Deep-dive into your workflows, data landscape, pain points, and the outcomes you care about. No templated discovery, no assumptions.

02

Identify Opportunities

Map your highest-ROI AI and data opportunities. Build a prioritized roadmap — quick wins first, solid architecture underneath.

03

Build the Solution

Agile development with bi-weekly demos. Every sprint delivers something you can test with real users on real data.

04

Improve & Optimize

Launch is the beginning, not the end. We monitor, gather feedback, and continuously improve as your business grows.

We are currently working with growing businesses building real-world AI solutions. Our engagements are hands-on, practical, and focused on measurable outcomes — not slide decks about what's theoretically possible.
Let's Talk

Book Your Free
Consultation

Working with early clients and offering flexible, personalized engagements. Want to find out what AI and data can realistically do for your business — let's have a real, no-pressure conversation.

Free 45-minute strategy call
No commitment required
Honest data assessment
Practical roadmap you can act on
Questions

Common Questions, Straight Answers

What services does CCPL.AI offer?
+
We offer Data Analytics and Power BI dashboards, AI/ML solutions, cloud data engineering on Azure and AWS, business intelligence, process automation, data migration, and AI strategy consulting. Every engagement is scoped around your specific business problem — no generic templates.
Do you work with small businesses?
+
Absolutely — that's a big part of who we serve. We work with startups, growing businesses, and teams beginning to take their data seriously. Flexible engagement models, straightforward pricing, no enterprise-scale minimums.
What tools and technologies do you use?
+
We build solutions using Microsoft Azure and Power BI, AWS, Python, SQL, and modern ML frameworks — chosen based on what's right for your specific situation. If you have infrastructure in place, we'll work with it rather than forcing you to change.
How do we get started?
+
Book a free 45-minute strategy call via the button on this page or email us at hello@ccpl.ai. We'll talk through your business, your data, and where AI can realistically help. No sales pitch — if there's a good fit we'll talk about what it looks like. If not, we'll say so.
How long does a typical project take?
+
A focused dashboard or automation project typically delivers first results within 3–4 weeks. More complex ML or data infrastructure projects run 8–12 weeks depending on scope. We give you an honest timeline before anything starts — not an optimistic estimate designed to win the deal.
How do you handle data security and privacy?
+
Data privacy is non-negotiable. We sign NDAs before any engagement, follow security best practices throughout, and design GDPR-compliant systems by default — not as an afterthought. Your data stays yours, always.