How to Leverage AI for your D2C business.

1. Leverage AI for your
D2C business Space for image

2. Agencies Advisors You
Data and Direction (or not!)

3. Issues with Information Asymmetry
❏ Slow decision making
❏ Missed opportunities
❏ Effort and cost overheads

4. What is being data-driven?
Scenario A Scenario B

5. Rule-based decision making
Boolean Data
(Yes or No)
Evolution of data-driven decisions
Rules. Statistics. They serve well until they don’t
Statistical reasoning Machine Learning
Example
• Phone notification
• Time or threshold based alarms
• Simple pattern matching
Numerical Data
Allowing for curve fitting
Example
• Extra and interpolation
• Outlier detection
• Predictive maintenance
Arbitrary Data
That needs to be abstracted into numbers
Example
• Identification of relevant features
from large input datasets
• Quality control using various metrics
Every Programmer
Data Science Types
Complex System
Fuzzy Boundaries
?
If condition fulfilled then
Activity 1
Else
Activity 2

6. Align AI with your Customer Journey!
Discovery/
Awareness
Consideration Acquisition
Fulfilment &
Service
Retention
Targeted advertising
& marketing
Hyper-personalization
Product search and
recommendations
Pricing optimization
Customer lifetime
value analytics
Next best offers
Inventory optimization
Demand forecasting
Churn prevention
Customer sentiment
analysis
Real time price
elasticity Rewards
personalization
Behavior predictive
analytics
Cart abandonment Market Basket
analysis
A/B testing
SEO
Cohort analysis
Warehousing and
logistics planning

7. But implementing AI is challenging
More than 50% projects are ROI negative+.
Talent Shortfall
Expert data scientists and
data engineers are
impossible to find
Ad hoc Infrastructure
Tedious, manual, non-
repeatable, error-prone process
to go from concept to live ML
deployment
Time to Value
9 months is the typical
time for ML solutions
to go live

8. Turnkey Solutions + AI Infra in a box
See value before you invest. Always.
Inventory Management Customer Segmentation
Personalization Demand Forecasting
Churn prediction Recommendations
Turnkey
Solutions
Your Goals
• Increase revenue
• Reduce operational costs
• Improve customer experience
AI Infra in
a box
ML Model
Build

9. RapidCanvas Key Capabilities
Turnkey End-To-End
Solutions
Key
Capabilities
From Data to AI outcomes
Turnkey D2C end-end solutions from
concept to production
Validated Model
Performance
Model performance validated with
industry benchmarks with continuous
monitoring of ongoing results
No-code beyond
Templates
Ask AI conversational UX
Rapid Prototyping
Instantly build a prototype without coding
or data science expertise
Expert-led AI
Access our curated network of global
experts to gain an edge
Collaboration
Empower more people across the
organization to collaborate on data
science projects

10. Team Background and Experience
Deep experience in data science & machine learning applications
2010 - 2014
80%+ improvement in ads
quality using state-of-the-art AI
platform and techniques
2014 - 2018
80%+ improvement in ads
quality using state-of-the-art AI
platform and techniques
2018 - 2021
One of the largest installed
customer base (30K+) of self-
service e-comm AI app

11. Bring your data.
Let us build an AI prototype.