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FenixCommerce Inc

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Overview

  • Founded Date January 1, 2017
  • Sectors Internet
  • Posted Jobs 0
  • Viewed 315

Company Description

The FenixCommerce Intelligent Delivery Platform (IDP) calculates and displays accurate, cost-optimized order cut-off and delivery dates on your product, cart, and checkout pages. This allows you to set clear expectations that improve the overall shopper experience while: – Improving conversion an average of 14% – Reducing cart abandonment an average of 38% – Reducing pre-sales inquiries by more than 75% – Increasing shipping revenue an average of 21% Fenix clients range from startups to major retail brands, the largest of which ships over a million orders per year from over a thousand inventory locations. Every one of our clients sees positive return on their investment in Fenix from day 1. The Fenix IDP algorithms accomplish this by analyzing, in real time: – Customer location, by looking at known customer shipping address or via IP-based geolocation for unknown customers, while also allowing customers to enter an alternate delivery zip code – Inventory location, by looking at real-time data from any number of inventory sources (our clients range from single-warehouse operations to multichannel enterprises with >1000 fulfillment locations including multiple DCs, drop ship locations, and physical stores) – Product weight and dimensions, by looking at your product data and rules you can set up for multi-item orders and shipping package types/dimensions – Your negotiated carrier rates, by looking at real-time data from any major carrier with whom you have a contract – Your fulfillment operations performance, by looking at your current and historical performance related to order pick, pack, and ship processes The Fenix IDP is the ONLY platform that calculates order cut-off times, estimated delivery dates and ship costs in real time using your data; other apps that claim to do this often simply allow you to set up conservative delivery estimates that can stretch to 10 or more days in order to reduce the risk of customer disappointment.