Ace Turtle Launches Industry's First AI Platform for Omni-channel Retail

Ace Turtle’s artificial intelligence platform, Albus, to accelerate insight-driven decision for brands

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Ace Turtle, Asia’s leading omni-channel platform company, announced the launch of Albus, the first of its kind Artificial Intelligence (AI) platform for enterprise retailers.

Built on Microsoft Azure, the cloud computing service created by Microsoft, the platform will accelerate insight-driven decision making for retail brands through intelligence and unified view of data from multiple data points. The announcement comes at a significant stage in the retail industry, as brands and retailers realize the importance of data-driven insights in capitalizing omnichannel opportunities.

Albus, with its machine learning capability, will collect data from different retail data points in any format and convert them into actionable intelligence and goal-based algorithms specific to retail problems. It enables getting structured data in any format quickly giving a unified view of data & insights, that acts as the foundation of the AI platform.  

Albus complements Ace Turtle’s omnichannel platform, Rubicon, to execute actionable intelligence, real-time for enterprise retailers. The platform leverages Microsoft Azure’s best-in-class data services and artificial intelligence that scale and support deep learning and enables faster go to market solution.

Some of the typical use cases which Albus will address are:
* Dynamic order allocation for fulfillment to the most optimal stock point - offline retail stores or warehouses.
*Dynamic safety stock assigned real-time for each product to ensure no excess order occur due to globally shared inventory across sales channels, nor does any loss of opportunity occurs due to locked inventory in safety stock.
*Dynamic inventory allocation to distribute inventory of a product among online channels based on parameters such as demand, cost of sales, discounts, etc to optimize profit.
*Dynamic last mile allocation to optimize cost and speed, while ensuring reliability and performance.

Catchment & assortment planning to identify the right catchment areas for store locations, and the right product range or merchandise to stock in a store as per demand signals of target customers in the catchment area. This not only optimizes store sales, but also reduces huge working capital lost in unsold inventory.

Speaking on the launch of Albus, Nitin Chhabra, CEO, Ace Turtle, said: "A majority of retailers are now highly adept at collecting relevant information or data but the real challenge that they face is in deriving actionable intelligence and in execution capability.

"Built on Microsoft Azure, our platform has developed capabilities to bridge the gap between the insights required by retailers and the information that is available to enable better decision making, real-time. Moreover, our omnichannel capabilities ensure that the actionable intelligence for brands are actually executed in order to yield the desired result based on the client’s goal."


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