, Singapore
743 views
Photo from Aimazing.

Aimazing launches retail analytics for mall operators, businesses

This will provide mall operators and retailers with data on consumer behaviour and their business performance.

The retail-tech company, Aimazing, launched a retail analytics solution that will analyse transaction data to provide mall owners and retail businesses insights on their performance and shopping trends.

The retail data platform of Aimazing enable mall operators to use technology “to capture, structure, and sort real-time retail transaction” to access mall management data such as consumer purchasing behaviours, sales, and performance which can track how and why customers shop.

The hardware solution is in the form of a tiny black box connected to the point-of-sale systems of retail businesses and uses technology similar to the image recognition used by Google Translate.

The data from the receipts will be analysed and organised through a machine learning engine and is directly uploaded to a cloud where mall operators have direct and real-time access.

“We aim to enable shopping malls to support their retail tenants in making decisions by understanding data such as peak shopping periods in the malls, average basket size, best selling items and how various categories of merchants from [food and beverage] to clothing and retail are performing in real-time,” Aimazing CEO Jun Ting said.

“This data has already been widely available to e-commerce marketplaces but not to physical retailers and mall operators. We aim to bring physical marketplaces to a level playing-field with this data visibility, as before this they were batting blind,” he added.

It cited market research reports that offline retail represents 91% of the total retail market in Southeast Asia and will be the dominant channel of retail sales in the “foreseeable future.”

The company currently processes three million data points a month from over 1,000 devices in the region and there are 10,000 devices to be implemented in the next 12 months. Its pilot projects include the completed project with Hong Leong Holdings through Enterprise Singapore’s Open Innovation Challenge Programme and other projects in malls in Singapore, Malaysia, and the Philippines.

Follow the link for more news on

Kawan Lama Indonesia mengaburkan batas antara belanja online dan offline

Pengunjung  platform e-commerce grup, Ruparupa.

K3Mart memadukan budaya Korea dan produk UMKM lokal dalam satu gerai

Convenience store itu menyediakan perbandingan produk impor dan produk lokal sebesar 50:50 di 30 outlet mereka.

Meningkatkan penelusuran dan efisiensi manajemen inventaris dengan barcode 2D GS1

Barcode 2D ini berfungsi sebagai penyimpanan data yang kompak.

The Coffee Bean & Tea Leaf menyeimbangkan kualitas dan kenyamanan melalui produk ritel

Mereka memperluas rangkaian produk termasuk berbagai kopi single-origin yang disesuaikan dengan preferensi pemanggangan yang berbeda.

KCG menguasai brand positioning untuk segmen premium di Indonesia

Mereka mengadopsi solusi berbasis teknologi terbaru untuk sukses mengelola 92 toko ritel di 20 kota di Indonesia.

Ini alasan brand-brand mewah meningkatkan investasi AI

Sektor ini telah menginvestasikan lebih dari $360 juta dalam AI selama tiga tahun terakhir.

Bacha Coffee menguasai retail kaya sensorik di Jakarta

Memadukan warisan dan kemewahan, Bacha Coffee Plaza Senayan menghadirkan pengalaman unik bagi pecinta kopi Indonesia.

Bagaimana WCT Malls meningkatkan penjualan tenant melalui pemasaran terarah

Melalui pemasaran terarah, mal ini meningkatkan penjualan tenant dan tingkat okupansi.