In December 2014, Amazon was awarded a patent for what it calls a “method and system for anticipatory package shipping,” and, according to Lance Ulanoff’s article Amazon Knows What You Want Before You Buy It, “The patent summary describes a method for shipping a package of one or more items ‘to the destination geographical area without completely specifying the delivery address at time of shipment,’ with the final destination defined en route.”

According to the patent, this forecasting model uses data from a customer’s “prior Amazon activity, including time on site, duration of views, links clicked and hovered over, shopping cart activity and wish lists.” When possible, “the algorithm also sprinkles in real-world information gleaned from customer telephone inquiries and responses to marketing materials, among other factors. Together, this can provide ‘decision support for speculative shipping of items,’ per the patent,” explains Ulanoff.

All of this may sound a little fanciful, but predicting customers’ orders can increase sales, as well as reduce shipping, inventory and supply chain costs. Optimization is arguably the biggest opportunity for most companies to significantly reduce their cost and improve their performance. For retailers, there is an opportunity to reduce cost by 10% to 40% by making better decisions, which amounts to substantial savings for retail companies, who spend millions of dollars in supplies and products every year.

Predictive analytics can be utilized to include Machine Learning to make very sophisticated supply chain, logistics and even customer delivery decision. The Predictive Retailer wants to infuse this anticipatory concept throughout its entire operation, not just in logistics; from customer interactions, to optimization in item pricing, to demand forecasting, to replenishment shipments, to marketing, to data governance, security, sales, advertising, and labor management. The anticipatory concept can make the retailer smart, predictive, optimized, and unquestionably more profitable than it would otherwise be. 


Intelligencia can provide the following services to retailers and retailers:

  • Analytics:
    • Model building for departments such Operations, Commercial, and Customer & Marketing, including:
      • Customer Experience and Acquisition
      • Engine Health Maintenance—build and maintain a robust and secure private cloud facility with a proprietary storage approach that optimizes processing throughput, while maintaining a data lake for offline investigations.
    • Architecting, building, and implementing an edge analytics system for the airline’s operations.
    • Training, including developing unique and individual courses for the business users in each of the airline’s groups, including commercial, operations, customer and marketing.
  • Business Intelligence:
    • Assist in the assessment, architecting, development, and implementation of BI dashboards.
    • Initiate and implement a Social Media listening solution to understand both the current sentiment for the airline, as well as for its local and international competitors.
  • CRM/Customer Experience:
    • Assist in the assessment, architecting, development and implementation of CX and personalization solutions any airline loyalty programs.
    • Design, implement and enhance the airline’s next generation Customer Engagement and Loyalty Platform.
    • Architect and implement a process that creates a Single Customer View within the airline, utilizing probabilistic and deterministic matching.
    • Social Media integration so that social media can be added as a customer service channel for the airline’s loyalty customers.
  • Data Lakes:
    • Install, build and architect a data lake solution, including adding real-time stream processing components.
    • Set up administrative roles for the Hadoop DW.
    • Set-up and define the airline’s metadata layer to assist with data governance.
  • Data Governance:
    • Evaluate Data Quality.
    • Help create a business data glossary using inputs from the business to identify and document key data assets of the business.
    • Assist the airline construct a data warehouse foundation that is able to address a combination of operational, tactical, and ad hoc business needs.
    • Develop and implement a data governance plan that makes the airline a data-driven and data-leading operation.
    • Define granular responsibilities and protocols.
  • Digital Marketing:
    • Assist in the assessment, architecting, development, and implementation of BI dashboards.
    • Initiate, implement and maintain a digital marketing solution to help the airline understand and reach its customers in state-of-the-art ways.
  • ETL:
    • Design, construct, test, and document BI and ETL processes and installations. Develop system design requirements from business requirements, as well as document and train staff about these processes.
  • Social Media:
    • Intelligencia can help airline companies evaluate and implement a social media listening and marketing plan to increase brand awareness, raise customer loyalty, build fanbases, heighten customer understanding, and manage the company's reputation. 
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