70%lower content production costs
- 5×faster content production
- 20+blogs a month, up from 4
inputRising content costs, slow production cycles and a heavy reliance on freelancers and agencies made a steady publishing schedule hard to keep.
[00] Case studies
Results we've delivered
AI projects described by the problem the client brought us, what we built and the numbers they measured afterwards: lower costs, faster work, more sales.
- 05 case studies
- 09 services delivered
- 05 sectors
results.log5 runs · measured
- 0170%lower content production costsB2B software solutions
- 0235%higher conversion rateFashion and lifestyle e-commerce
- 033×increase in customer engagementSaaS
- 0440%lower operational costsEnterprise with complex operational workflows
- 0585%less manual workFinance, e-commerce and enterprise operations
figures copied from each published case study
results
Find a result like yours. Filter by the service behind it.
Each frame shows the headline figure and the supporting numbers, then the problem the client started with. Open one for the full story: what was built, how it was rolled out and what changed.
filter
35%higher conversion rate
- $68 → $92average order value
- 22% → 41%customer retention
- 71% → 49%cart abandonment
inputHigh traffic but low conversion: generic recommendations, poor product discovery, high cart abandonment and few repeat purchases.
AI Recommendation Engine Increased E-commerce Conversion Rate by 35%
3×increase in customer engagement
- 50%lower support costs
- 70%of repetitive queries automated
- Secondsto respond, down from 12–24 hours
inputSupport replies took 12 to 24 hours, repetitive questions tied up agents, support costs were high and customer engagement was low.
AI Chatbot Increased Customer Engagement by 3× and Reduced Support Costs by 50%
40%lower operational costs
- 60%improvement in process efficiency
- 50%less manual workload
inputManual, repetitive processes, high operating costs, little data to base decisions on and systems that could not keep up with growth.
How AI Reduced Operational Costs by 40% for an Enterprise Business
85%less manual work
- 3×faster data processing
- 90%fewer data errors
- 40%lower operational costs
inputOver 80% of processes were manual, reports arrived 24 to 48 hours late and human errors and duplicate records undermined decisions.
Manual Data Processing Bottlenecks Solved with AI/ML in 12 Days
the metric you want to move?
- hours of manual work
- time to first reply
- conversion rate
- cost per document
Bring us the number you want to change.
In a free 30-minute call we will tell you honestly whether AI can move it, what the data needs to look like and how we would measure the result.
Book a consultationwhat we built
Behind every figure. The client, the services, the stack and the timeline.
#result · clientservices deliveredbuilt with
01
stack not listed in the write-up
02
35% higher conversion rateFashion and lifestyle e-commercemid-sized company · multiple regionsresults within six months
- Python
- TensorFlow
- Machine learning
- Recommendation algorithms
- Big data analytics
- Cloud infrastructure
- API integration
03
- NLP
- Machine learning
- CRM integration
- Helpdesk integration
- Analytics dashboard
04
40% lower operational costsEnterprise with complex operational workflowsmid-to-large enterprise · multiple regions
- AI automation
- RPA
- Workflow automation
- Real-time analytics
05
85% less manual workFinance, e-commerce and enterprise operationsrapidly scaling enterprisedelivered in 12 days
- Python
- TensorFlow
- scikit-learn
- NLP
- AWS
- Azure
- REST APIs
- Power BI
reading the numbers
How to read these results. And what would change them for you.
- 01
Straight from the case study
Every figure on this page is the one in the published write-up. We do not round results up or add together numbers from different projects.
- 02
A change on the client's own metric
Each result is measured against what the client had before: conversion rate, support cost, hours of manual work, response time. Where the write-up gives both ends, we show both, as in $68 → $92.
- 03
Described, not named
Clients appear by industry, size and region rather than by name. The full story covers the problem they started with, what was built and how it was rolled out.
- 04
Your number will be different
Results depend on your data, your volumes and how much of the process is in scope. That is why we start with a short data audit and recommend a pilot that measures the same metric on your own data before a full rollout.
Appsin.Ai has delivered on time and within budget no matter the modifications within the scope and scale of the project. The team is hard-working, knowledgeable and expert. The overall experience has been overwhelmingly superb and they always help the customer meet goals. They provide great value for the money.
I had an amazing experience with the team. They finished the work before the deadline and sent more than one demo for me to test and give them feedback. Professional programmers and wonderful work. I would definitely recommend them.
Be our next case study. Start with the number you want to move.
Tell us the process and the metric you want AI to improve. We will reply within one business day, and if AI is not the right answer, we will say so before you spend money on it.
- start
- 30-minute call
- pilot
- On your own data
- quote
- Fixed scope
- nda
- From day one
- hours
- Mon–Fri, 09:30–17:00 IST
- clients in
- the Middle East