Using AI to Leverage EDI Documents Presented by

Using AI to Leverage EDI Documents Presented by Jim Lewis, CEO, Enhanced Retail Solutions

Enterprise Applications Custom Software Consulting Ad-Hoc Reporting, Forecasting, Retail Analytics, Best Practices Tool Kit Rapid Development Cost Effective Pricing US Based and/or Offshore Broad Expertise, Hands-On Approach to Meet Customers at Any Level. Who We Are Enhanced Retail Solutions 2

Who We Are Enhanced Retail Solutions 3

So Much Data The Problem 4

Solving Problems With Data and Artificial Intelligence Using Data to Solve Problems 5

Retail Data Sources xlsx xls csv Portal txt EDI Using Data to Solve Problems PDF Napkin 6

EDI Retail Documents 810 Invoice 812 Claim 820 Remittance Advice 832 Price/Sales Catalog/Forecast 846 Inventory 850 Purchase Order 852 Product Activity Data 855 Purchase Order Acknowledgement 856 Advance Ship Notice 860 Purchase Order Change Request 864 Text Message 869 Order Inquiry 870 Order Status EDI Documents 7

Why & How Can We Utilize AI? The Question 8

People With Time May Not Have the Expertise The Problem 9

People With Expertise Don’t Have Time The Problem 10

Data Requirements 852 Product Activity Data + Wholesale ATS & Futures from ERP + Intelligence (Machine Learning) The Data 11

852 ATS – ERP System collects, translates and validates retail POS, integrates wholesale inventory User’s behavior is used as feedback loop to improve algorithms. DB System applies intelligence engine- running through multiple scenarios looking for opportunities. System scores the opportunities and presents only those that are actionable in a smaller data set. The Solution 12

The Solution – AI Dashboard 13

The Solution – AI Dashboard 14

The Solution – AI Dashboard 15

Where’s My Order? The Problem 16

RETAILER SUPPLIERS ? The Problem 17

850 RETAILER 855 860 VAN 856 846 SUPPLIERS Drop Ship Tracker powered by ERS Intelligence The Solution 18

The Solution - Order Tracker 19

The Solution - Order Tracker 20

How Can We Improve On-Time, In-Full Shipments? The Problem 21

Data Requirements Shipment History (856, etc. ) + Open Orders (850) + Intelligence The Data 22

Orders & Shipments DB System collects, integrates order, ship, in-transit, in-warehouse data points. System completes lead time audit, compares data across user base System fills pre-defined custom templates with data for easy implementation System determines optimal lead times and makes recommendations The Solution 23

The Solution – Lead Time Auditing 24

The Solution – Lead Time Auditing 25

Questions? Jim Lewis, CEO Email: jlewis@ers-c. com David Matsil, President of Business Development Email: dmatsil@ers-c. com Visit us at www. enhancedretailsolutions. com Tel: 212. 938. 1991 Twitter: @enhancedretail 26