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Next orbit accelerating growth by uncovering lost opportunity

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We @NextOrbit delivers Pricing for Profit | Competitor Price Discovery | Demand Forecasting Enabled by AI and Machine Learning at its core.

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Next orbit accelerating growth by uncovering lost opportunity

  1. 1. Accelerating Growth by Uncovering Lost Opportunity © Copyright 2017 – NextOrbit Proprietary & Confidential 4512 Legacy Drive, Suite 100, Plano, TX 75024 1 Powered by AI(Artificial Intelligence) and Machine Learning for Supply Chain decisions
  2. 2. Store Inventory Full Price Sell-Through Basket Size Fashion Fatigue Giant excel spreadsheets Impact of holidays factored only using judgement Not granular enough (Store, SKU and Day) Does not include lost opportunity from history © Copyright 2017 – NextOrbit Proprietary & Confidential 2 Mis-planning Mis-allocation Out-of-stock … leading to diminished customer experience and loyalty Brands and Retailers often use human judgement or rule-based software to make critical supply chain (store allocation and demand planning) decisions …
  3. 3. Fashion & Core Demand Planning Store Allocation/Store Ordering Sale Pattern Alerts © Copyright 2017 – NextOrbit Proprietary & Confidential 3 Stock Turns Full Price Sell-Through Same-Store-Sales 5-10% 5-10% 4-15% … leading to enhanced customer experience and higher loyalty Basket Size 4-5 % The NextOrbit Cloud platform introduces precision in Demand Planning and Store Allocation by the use of AI(Artificial Intelligence) and Machine Learning …
  4. 4. © Copyright 2017 – NextOrbit Proprietary & Confidential NextOrbit discovers the impact of holidays, local events, travel patterns and other predictors on store level sales … 4 • Different SKUs have different velocities. This is considered when understanding the “signal” of each SKU • Then the impact (lift or dip) of holidays and local events is discovered • Abnormal lifts and dips are investigated for causal factors – a press announcements, a tweet from a celebrity … the result is an intimate understanding of demand – base demand, seasonality, trend, noise, impact of each holiday, event, weather pattern, travel patterns and other factors. And all of this happens at a store, category and SKU level
  5. 5. © Copyright 2017 – NextOrbit Proprietary & Confidential 5 NextOrbit produces a demand plan, and creates store allocations to at a store and SKU level … As more attributes are considered, the demand plan becomes more fine grained and accurate
  6. 6. © Copyright 2017 – NextOrbit Proprietary & Confidential 6 Retailer/BrandDataExternalData
  7. 7. Retailer Data Data Needed • Point-of-sale • Store Deliveries • Stock Levels • DC Dispatches • Master Information Data Quality Check & Preparation Lost Opportunity Assessment Priming Algorithms Go-Live Pilot Store Go-Live All Store 2 Weeks 1 Month 2 Weeks 1 Month 1 Month Implement the platform for the Retailer/Brand Measure Outcomes & Establish Effectiveness such as: • Sell-Through Levels • Inventory Turns • Out-of-stock Levels © Copyright 2017 – NextOrbit Proprietary & Confidential The engagement with NextOrbit will need your (cleansed) data and 2 months to demonstrate credible improvements in business outcomes … 7
  8. 8. • NextOrbit sits on Amazon cloud, which is now relied upon by NASA, many banks, and other mission critical organizations • All access requests are through secure access only – no risk of theft of data in transit • Data is encrypted at rest, providing high security against theft • We replicate our Amazon instances across availability zones – disaster recovery is taken care off • All access to data is logged and is auditable. Authorized employees of NextOrbit have access to client data © Copyright 2017 – NextOrbit Proprietary & Confidential Security of client data is paramount in the architecture of the NextOrbit platforms … 8
  9. 9. Kishore Rajgopal Founder & CEO Plano TX & Bangalore Mayank Shende Co-founder & Data Scientist, Bangalore Sathish Bhat Chief Strategy Officer Bangalore Bernard Anderson Principal Consultant San Antonio TX • Over 20 years of experience in consulting, product development, business development, Business Intelligence and analytics. • During his 9+ years stint at Infosys in Plano TX, he evangelized and developed technology consulting & technical architecture that repositioned Infosys as a consulting player. • He has patented a data driven methodology to determine quantitative and qualitative trade- off between risk and profitability. He has presented this work at Abnormal Situation Management Consortium 2012, USA. • His areas of expertise includes process optimization, pattern recognition, dynamic programming, model predictive control, computational techniques, artificial neural network, and frequency analysis. • Experienced consultant with expertise in the areas of retail, consumer packaged goods and supply chain. • Consulted with HEB on out-of- stock. His work got published in the HBR article – “Stock out causes Walk outs.” • A proven track record with a focus on the customer, developing a team-centric environment, and a talent for improving collaboration throughout the organization. © Copyright 2017 – NextOrbit Proprietary & Confidential • With over 26 years of experience in various roles in the Retail Industry Sathish has been an extremely valuable resource for retailers, and consumer products manufacturers. • With a variety of roles from being Regional Controller to Chief of Operations & Senior Vice President, Sathish is a brilliant leader with great analytical skills as a retail professional. 9 The NextOrbit core team combines deep knowledge of the Fashion and Apparel industry along with deep expertise in data sciences required to improve business outcomes …
  10. 10. NextOrbitis your nervous system – using machine learning and data science to enhance key decisions Email: kishore.rajgopal@nextorbit.com Corporate URL: www.nextorbit.com Address: 4512 Legacy Drive, Suite 100, Plano, TX 75024 © Copyright 2017 – NextOrbit Proprietary & Confidential 10