Proven Results

Real AI Transformations.
Real Business Impact.

Every case study below is a real engagement with a measurable outcome. No vanity metrics - just revenue, efficiency, and ROI.

5
Completed Engagements
₹10Cr+
Revenue Impact
30 Days
Avg. Time to First ROI
4.9 / 5
Client Satisfaction
100%
Clients Renewed
01
E-Commerce & Marketplace AI

SleepWell Home Furnishings

🛏️ Home Goods  ·  Amazon India & Flipkart  ·  4-Month Engagement
The Challenge
SleepWell had strong traffic but a stagnant 1.8% conversion rate on Amazon and Flipkart. Inconsistent pricing, unoptimized listings, and reactive ad spend meant competitors were winning the Buy Box daily. Their team had no visibility into competitor pricing movements.
Key Results
3.4×
Conversion Rate Increase
28%
Ad Spend Reduction
₹2.1Cr
Revenue Added in 6 Months
41%
Listing Rank Improvement

AI Solutions Implemented

01
Dynamic Pricing Engine - Real-time AI pricing synced across Amazon & Flipkart, responding to competitor price changes within minutes.
02
NLP Listing Optimizer - Auto-generated SEO-rich product titles, bullets, and descriptions based on top-ranking competitor analysis.
03
Predictive Ad Bidding - AI bid management using sales velocity, inventory levels, and conversion probability per keyword.
04
Competitor Dashboard - Live tracking of top 10 competitors on pricing, ratings, and rank changes across both platforms.

Performance vs. Baseline

Conversion Rate
+240%
Ad Efficiency
+72%
Listing Rank
+41%
Monthly Revenue
+214%

Timeline

Month 1 - Pricing engine & competitor tracking live
Month 2 - Listing optimizer deployed, rank improvement begins
Month 3 - Ad bidding AI launched, CPC drops 28%
Month 4 - Full ROI achieved, engagement renewed
RK
"They didn't just consult - they built and launched everything. Our Amazon conversion tripled in 4 months. The ROI paid for the entire engagement within the first month of going live.- Rahul Kapoor, Founder · SleepWell Home Furnishings
02
Manufacturing & Operations AI

Threaded Origins Textiles

🏭 B2B Manufacturing  ·  Loom Operations  ·  3-Month Engagement
The Challenge
Threaded Origins was losing ₹80L per month to production wastage (14%) and unplanned machine downtime that regularly halted fulfillment for large retail buyers. Manual production scheduling caused bottlenecks during peak order seasons.
Key Results
62%
Reduction in Machine Downtime
9.2%
Wastage Rate (from 14%)
97%
On-Time Delivery Rate
₹80L
Monthly Cost Savings

AI Solutions Implemented

01
Predictive Maintenance - IoT sensors on 42 looms feeding a maintenance prediction model, flagging failures 48–72 hours in advance.
02
Computer Vision QC - Camera-based defect detection at production exit, catching fabric flaws before they reach packing.
03
AI Production Scheduling - Order-priority-based machine allocation engine replacing manual whiteboard planning.
04
Shift Load Balancing - Automated daily shift planning matched to real-time demand, reducing overtime by 34%.

Performance vs. Baseline

Downtime Hours
-62%
Wastage Rate
-34%
On-Time Delivery
97%
Monthly Savings
₹80L

Timeline

Week 1–3 - IoT sensor installation across 42 looms
Month 2 - Predictive model live, first alerts prevent 3 breakdowns
Month 3 - CV QC & scheduling engine deployed
Month 4 - ₹80L monthly savings confirmed and ongoing
PM
"Machine downtime was killing our delivery commitments to retail buyers. The predictive maintenance model has been running for 8 months now with zero major unplanned breakdowns.- Priya Mehta, Operations Head · Threaded Origins Textiles
03
Marketing & Ad Automation

VibeAds Digital Studio

🎯 D2C Brand  ·  Google · Meta · Amazon Ads  ·  2-Month Engagement
The Challenge
VibeAds was manually managing 12+ campaigns across three ad platforms. Their cost-per-acquisition had ballooned to ₹840 and they could not scale creative output fast enough. Campaign performance varied wildly with no systematic optimization.
Key Results
₹360
Cost Per Acquisition (from ₹840)
3.8×
ROAS Achieved
5×
Creative Output Speed
54%
Campaign Setup Time Saved

AI Solutions Implemented

01
Automated A/B Testing - Pipeline rotating 50+ creative variants weekly across all platforms, auto-pausing underperformers.
02
AI Audience Segmentation - Lookalike modeling from purchase behavior data, creating 12 high-intent audience segments.
03
Live ROAS Dashboard - Real-time budget reallocation across Google, Meta, and Amazon based on hourly ROAS signals.
04
AI Copywriting Assistant - GPT-powered tool generating platform-native ad headlines, descriptions, and CTAs at scale.

Performance vs. Baseline

CPA Reduction
-57%
ROAS Lift
3.8×
Creative Output
5×
Time Saved
54%

Timeline

Week 2 - A/B pipeline & audience segments live
Week 4 - CPA drops from ₹840 to ₹520
Week 6 - ROAS dashboard live, budget shifts automated
Day 60 - CPA at ₹360, ROAS at 3.8×
AS
"Our CPA dropped from ₹840 to ₹360 in 60 days. I was sceptical about AI for ads but the numbers don't lie. We're now scaling ad spend confidently for the first time.- Arjun Shah, CEO · VibeAds Digital Studio
04
Inventory & Supply Chain AI

NestEase Furniture Co.

🏠 Retail & Supply Chain  ·  200+ SKUs  ·  5-Month Engagement
The Challenge
NestEase had ₹1.2Cr locked in overstock of slow-moving SKUs while simultaneously running out of their top 20 bestsellers during peak season. Vendor lead times were unpredictable and reordering was done manually from gut feel.
Key Results
44%
Overstock Reduction
91%
In-Stock Rate on Top SKUs
₹72L
Working Capital Released
18%
Fulfillment Cost Reduction

AI Solutions Implemented

01
ML Demand Forecasting - 3-year sales history + seasonality + trend signals feeding a weekly SKU-level demand model.
02
Automated Reorder System - Dynamic safety stock thresholds per SKU triggering purchase orders automatically when stock dips below threshold.
03
Vendor Scoring Model - AI scoring of 18 vendors on lead time reliability, quality, and pricing to prioritise the best suppliers.
04
Inventory Health Alerts - Slow-mover detection and automated markdown recommendation engine to liquidate dead stock faster.

Performance vs. Baseline

Overstock Level
-44%
Top SKU In-Stock
91%
Capital Released
₹72L
Fulfillment Cost
-18%

Timeline

Month 1 - Data cleaning & demand model training
Month 2 - Reorder automation live for top 50 SKUs
Month 3 - Vendor scoring deployed, markdown alerts active
Month 5 - ₹72L capital released from reduced overstock
NK
"We used to run out of our bestsellers every festive season. This year we didn't stockout once, and we freed up more than ₹70L in cash from dead stock. Game-changing.- Neeraj Kumar, Supply Chain Head · NestEase Furniture Co.
05
Multi-Channel AI Transformation

ComfortCasa Retail Group

🌐 Multi-Channel D2C  ·  3 Marketplaces + 40 Vendors  ·  6-Month Engagement
The Challenge
ComfortCasa sold across their website, Amazon, Flipkart, and 40+ retail vendors - but had zero unified data view. Each team had different numbers. Marketing, inventory, and customer service operated in complete silos with no shared dashboard.
Key Results
2.2×
Website Conversion Rate
70%
Support Queries Automated
33%
CAC Reduction
₹3.5Cr
Annual Revenue Impact

AI Solutions Implemented

01
Unified Data Warehouse - All 5 sales channels integrated into one live dashboard - single source of truth for all teams.
02
AI Customer Service Bot - WhatsApp + website chatbot handling order tracking, returns, and product queries - 70% deflection rate.
03
Cross-Channel Attribution - ML model identifying highest-ROI customer journey touchpoints across all channels.
04
Website Personalization - AI recommendation engine showing personalized products, dynamic pricing, and exit-intent offers.

Performance vs. Baseline

Web Conversion
2.2×
Support Automation
70%
CAC Drop
-33%
Revenue Impact
₹3.5Cr

Timeline

Month 1–2 - Data warehouse & unified dashboard built
Month 3 - AI chatbot live on WhatsApp & website
Month 4 - Personalization engine deployed on website
Month 6 - ₹3.5Cr annual revenue impact confirmed
SC
"For the first time ever, our marketing, ops, and customer service teams are looking at the same numbers. The AI chatbot alone saved us 2 full-time salaries. Incredible ROI.- Sneha Chandran, CEO · ComfortCasa Retail Group

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