1

Introducing

Next Generation Information System at POS

August 2012 Decision making, Simplified at POS

Team Profile Founding Team

External Contributors

Akshay Pushparaja (Business

Development)

B.E. (Electronics and Telecom.)

3.5yrs of Corporate experience

Sales, recruitment, vendor relation

Arun Pattnaik (Product)

B.A

5yrs of Start-up experience

Ability to build product from scratch

Namdeo Patil

Hardware Architect

25+ yrs of experience

D.V.V Rao

Plastic Manufacturer

Idea implementation

25+ yrs of experience

Experience

Opportunity Brick and mortar stores losing steam

Are Indian retailers headed the same way?

Lack of product information causing deferred buying decision

Salesman : Friend or Foe

Online stores getting smarter Comparisons

Reviews/Ratings

Targeted recommendations

Tablet preloaded with latest information

Complete transparency.

Proprietary NFC technology for information lookup.

Offline experience Online smartness

Demo

Competition & Risks

Invue security

Company Product Mitigation

NFC A

Curation

Multi-lang. Support

Local Info. Inventory Integration

Pros Cons

Recommendation

Video

Rating

Info

Provides security solution to retails stores. Has a solution to include product information. No implementation in India

Happiest Minds Provides IT solutions to retail stores. Main focus is ERP. Software only service.

Startups Loyalty (inCrowd, tagnpin, capillary) | Menu (Bombil, eMenu)

Employee Sourcing companies

Companies providing sales force to leading retail stores.

Microsoft Pixelsense

Surface tablet (40+ inch) for collaboration and information. Expensive solution. Not widely accepted.

Comparison websites

Provide product information online. Dime a dozen sites available with no clear focus on aiding the shopper needs

Is new hardware necessary??

The best technologies, they disappear, they fade into the background and they're relevant when you want to use them, and they get out of the way when you don't. - Jack Dorsey (CEO of Twitter and Square)

Barcode

Keyboard

NFC

Single product lookup

Comparison 10 product lookup

Hurdles

30 secs 50 secs ~6 mins Need tech know-how, dependency on lighting, cumbersome

25 secs 45 secs ~5 mins Bulky, space consumption, inconvenient

2 secs 4 secs 30 secs Expensive, experimental, low adoption

Market Opportunity (India)

% Modern Retail 2012 2015

5%

Avg. IT spending per retailer

10% - 12%

Retail Market Size 450 billion

Souce: RAI Report

$

1.55 Cr.

Purpose of IT spending

Projected Retail IT Spend (2017)

13,668 Cr.

Cost Control | Operations | Business Opportunity

Roadmap

Jan. 2012

Birth of Slatebot

Feb. – Jun. 2012

• Planning • Hardware

development • App development

Jul. – Aug. 2012

• Prototype completion • Case design • Pitch to clients • Bagged first client

End of 2012

• Rollout 200 units • Optimize hardware

2013

• Rollout 1000 units • New features • New product launch

Monetization

Device Sales

Service Charge covers

Analytics

I. Proprietary hardware needed for the unique shopping experience

II. Hardware sold separately

III. Unique hardware is sold at premium

I. Product content

II. Support for different product types

III. Manage advertising content

IV. App updates

I. Usage data

II. Advertising campaign data

Sales and Marketing

Potential Customers

Target clients by:

1. One-on-one sales call

2. Demo solution at technology events

3. Promotion in technology blogs

User Acquisition

Excite users by:

1. Training on the floor sales team

2. Incentive for product lookup

3. Merge offline/online experience

Projected Revenues

Investment Required

Cash Deployment summary (approximate):

I. Hardware and Product Development: Rs. 35,00,000

II. Manpower: Rs. 15,00,000

III. Infrastructure: Rs. 10,00,000

IV. Misc. expenses: Rs. 6,00,000

Contact:

Website: www.slatebot.com