FOCUS is a business intelligence platform for malls, which combines data from AI-video analytics, POS transaction collector, and other sources.
FOCUS provides insights into performance of the mall, each zone and even individual tenants in terms of footfall, sales, and conversion rates. It arms leasing managers with actual data for flexible lease pricing. Our solution offers 12 measurable metrics, including custom ones.
Get a strong negotiation position in front of the tenants and increase mall revenue. Marketing will get insights into marketing activities efficiency and their influence of the tenants business.
More and more tenants worldwide are switching to “percentage of turnover” rental rate. Shopping malls manually receive tenants’ revenue data once per month, often with a delay
There are no pure-play tenants which haven’t asked for a discount and deferrals yet, decision of providing a discount are taken intuitively based on data provided by tenants
Marketing departments of shopping malls cannot calculate ROI as well as estimate the effectiveness of the offline campaigns and influence on tenants’ traffic and sales because of lack of data
Shopping malls owners are forced to assess the "health" of their business with figures only for the traffic of the mall and, at best, manually collected data on tenants sales
FOCUS provides visitor flow and tenants sales analysis, which allows retaining customers, increase tenants’ revenue and a shopping center’s profit.
Video analytics on existing infrastructure of CCTV cameras
The FOCUS system automatically determines problem tenants and makes recommendations to proceed.
Ready-to-use interfaces for leasing managers based on automatically collected footfall and traffic data of shopping mall and tenants
Increase the tenants’ sales by using one or few recommended tactics: add to a marketing program, give a discount, check on the fraud, add to rotation plan
Prevent the turnover decrease with the automatic identification of problem tenants
Save revenue with offering the “Fair discount” to the tenant with arguments based on data
Prevent a frequent rotation with a forecast of the tenants’ turnover
Save at least 10 days of working time for leasing and finance managers
Dress Code retailer asked the shopping mall developer for providing the discount arguing its position by sales decrease. The retailer has stores in two shopping malls of this developer.SOLUTION
The FOCUS analysis revealed:
After the developer pointed out this problem to the tenant, the tenant expanded its assortment in shopping center 2. As a result, the tenant's revenue increased by 20%, and the income of the shopping center from rent increased by 76,000 EUR per year.
Lexmer tenant demanded a 40% discount otherwise he will close the store in this shopping mall. Reasons and arguments of the tenant: the turnover decreased by 40%, insufficient advertising of the store in the shopping mall.SOLUTION
Analysis of tenant data in FOCUS showed that against the background of high tenant attendance, his conversion fell by 20% (over 2 months) and the average check fell. As a result, the tenant's revenue decreased by 40%. It turned out that the store was transferring collections to its other stores and did not purchase enough goods.RESULT
As a result, the store agreed with the argument of the mall that the problem lies within the store. Shopping mall provided the complimentary short-term discount of 5% instead of 40%. The tenant stayed in the mall.
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