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Konstantinos Soteriou (COO)
konstantinos.soteriou@prediti.com
www.prediti.com
Cross selling engine for Brick and Mortar stores
What is Prediti.
DisruptCross selling engine FMCG
A cross selling engine which aim to disrupt how brands and
retailers used to work together in the FMCG industry.
The Problem.
Brands Expensive Mass
Marketing
Monitor AdjustControl
Brands spends billions in mass marketing without having
any control on it.
The Solution.
Brands
Transaction
pricing
Monitor
Adjust
Retailers
Shopper
An app which enables
Retailers and Brands to
partner for the same goal !
The Cross Platform app.
In case a retailer has already an app, it can integrate
PREDITI SDK.
Solution.
1
3
2
4
How Prediti Works.
Brands RetailersPrediti
Create the
message
Set the rules of
the campaign
Target the in-
store audience
1 2 3
Simulation.
The Validation.
Almost everything we do, is based on recommendations!!!
Movies Restaurants Friends MusicOnline Shopping
The Efficiency.
29%
Amazon reported a 29% sales increase after the
recommendation functionality launch in 2012*.
* http://fortune.com/2012/07/30/amazons-recommendation-secret/
The Opportunity.
Segmentation based cross-sell and product
diversification is the key enabler for Tesco to reach top
supermarket status in Britain. Targeting is based on
differentiated profiles using segmentation and effective
data usage of loyalty program, demographics and lifestyle
attributes*
3%
Identify the opportunity
Cross-product matrix and evaluating performance of existing
program
1
Eligibility
Policy regarding which customer is eligible for a cross sell offer2
Business Strategy
Decide on target Cross-Sell Ratio, Products to offer, Pricing,
Branding or Sequential
3
Decision on Analytics Approach
Triggers, Segmentation Rules, Model driven propensity scores4
Next Best Product to Buy Recommendation
How to sell – Deciding the contact and communication method6
Next Best Product to Buy Recommendation
Whom to Sell, What to sell, When to sell5
Strategy Implementation
Setting up campaign management, Test – Control based
implementation
7
Tracking of Cross-Sell campaigns
Response tracking, ROI measurement8
Cross selling
Revenue Increase
*https://www.analyticsvidhya.com/blog/2015/08/learn-cross-selling-upselling/
The Competition.
Founded
No Of
Employees Funding
Pricing
(Retailer)
Adoptive
segmentation A to Z Infrastructure
Universal
App
2009 ~250
$4.48M
in 3 Rounds
2010 ~30
Undisclosed
Seed Funding
2008 ~30
$9.74M
in 5 Rounds
2010 ~20 N/A
2011 ~30
$1.98M
in 2 Rounds
2016 4
€10K
Seed Funding
The Competitive Advantage.
Business Model
Transactional
Adaptive
Segmentation
Leverage Marketing
Spending – cross sale
Dynamic
Marketing
The Prediti Team.
Operations
Konstantinos Soteriou
3 years experience in Business Intelligence. BSc in
Applied Mathematics, University of Crete, MSc in
Mechanical Engineering University of Cyprus.
https://cy.linkedin.com/in/konstantinossoteriou
Decision Analyst
Panayiotis Panayiotou
12 years experience in a Market research
company, as a regional director of Decision
Systems, and predictive modeling
https://cy.linkedin.com/in/panayiotis-
panayiotou-5394a69
Technology
Stephanos Christophorou
Full stack developer. BSc in Computer science,
University of Cyprus,, hacking life style.
https://cy.linkedin.com/in/stefanoschrs
Sales - Marketing
Andy Hadjiadamou
5 years experience in Carrefour group as a buyer.
MBA holder from CIIM. Serial entrepreneur .
https://www.linkedin.com/in/andy-
hadjiadamou-56b12588
Supporters.

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Prediti product presentation

  • 2. What is Prediti. DisruptCross selling engine FMCG A cross selling engine which aim to disrupt how brands and retailers used to work together in the FMCG industry.
  • 3. The Problem. Brands Expensive Mass Marketing Monitor AdjustControl Brands spends billions in mass marketing without having any control on it.
  • 4. The Solution. Brands Transaction pricing Monitor Adjust Retailers Shopper An app which enables Retailers and Brands to partner for the same goal !
  • 5. The Cross Platform app. In case a retailer has already an app, it can integrate PREDITI SDK.
  • 7. How Prediti Works. Brands RetailersPrediti Create the message Set the rules of the campaign Target the in- store audience 1 2 3
  • 9. The Validation. Almost everything we do, is based on recommendations!!! Movies Restaurants Friends MusicOnline Shopping
  • 10. The Efficiency. 29% Amazon reported a 29% sales increase after the recommendation functionality launch in 2012*. * http://fortune.com/2012/07/30/amazons-recommendation-secret/
  • 11. The Opportunity. Segmentation based cross-sell and product diversification is the key enabler for Tesco to reach top supermarket status in Britain. Targeting is based on differentiated profiles using segmentation and effective data usage of loyalty program, demographics and lifestyle attributes* 3% Identify the opportunity Cross-product matrix and evaluating performance of existing program 1 Eligibility Policy regarding which customer is eligible for a cross sell offer2 Business Strategy Decide on target Cross-Sell Ratio, Products to offer, Pricing, Branding or Sequential 3 Decision on Analytics Approach Triggers, Segmentation Rules, Model driven propensity scores4 Next Best Product to Buy Recommendation How to sell – Deciding the contact and communication method6 Next Best Product to Buy Recommendation Whom to Sell, What to sell, When to sell5 Strategy Implementation Setting up campaign management, Test – Control based implementation 7 Tracking of Cross-Sell campaigns Response tracking, ROI measurement8 Cross selling Revenue Increase *https://www.analyticsvidhya.com/blog/2015/08/learn-cross-selling-upselling/
  • 12. The Competition. Founded No Of Employees Funding Pricing (Retailer) Adoptive segmentation A to Z Infrastructure Universal App 2009 ~250 $4.48M in 3 Rounds 2010 ~30 Undisclosed Seed Funding 2008 ~30 $9.74M in 5 Rounds 2010 ~20 N/A 2011 ~30 $1.98M in 2 Rounds 2016 4 €10K Seed Funding
  • 13. The Competitive Advantage. Business Model Transactional Adaptive Segmentation Leverage Marketing Spending – cross sale Dynamic Marketing
  • 14. The Prediti Team. Operations Konstantinos Soteriou 3 years experience in Business Intelligence. BSc in Applied Mathematics, University of Crete, MSc in Mechanical Engineering University of Cyprus. https://cy.linkedin.com/in/konstantinossoteriou Decision Analyst Panayiotis Panayiotou 12 years experience in a Market research company, as a regional director of Decision Systems, and predictive modeling https://cy.linkedin.com/in/panayiotis- panayiotou-5394a69 Technology Stephanos Christophorou Full stack developer. BSc in Computer science, University of Cyprus,, hacking life style. https://cy.linkedin.com/in/stefanoschrs Sales - Marketing Andy Hadjiadamou 5 years experience in Carrefour group as a buyer. MBA holder from CIIM. Serial entrepreneur . https://www.linkedin.com/in/andy- hadjiadamou-56b12588