Venditech
Data aggregation and unification platform
Venditech operates a network of smart vending machines and develops data-driven retail solutions. To manage performance and revenue across locations, the company relies on sales and usage data from its machines. As the network expanded, Venditech began receiving sales and operational data from many machines, each using a different format. As a result, teams had to combine and clean the data manually before analysis. This process took time and caused errors. Consequently, reports arrived late, and managers lacked a clear view of machine performance, product demand, and advertising results. The company needed one system that could gather and display all metrics. To solve this issue, Innowise implemented a unified sales metrics platform for vending analytics. The system collects data from all machines in a centralized store and updates it on a schedule and in real time. A web dashboard then shows sales, stock levels, machine status, and ad performance. Users can filter results by location, product, or time range, while alerts highlight low stock or unusual sales so teams can respond quickly.
Challenge
The client needed a strategic partner to address key business objectives and deliver measurable outcomes in their market.
Solution
Our team developed and executed a comprehensive strategy tailored to the client's specific needs, leveraging industry expertise and proven methodologies to deliver results.
Results
The platform brought sales, inventory, and fleet data together in a single system, which gave Venditech a unified view of its vending network. As a result, manual data work dropped by up to 90 %, while reporting errors fell by around 45 %. Teams gained clear insight into SKU sell-through and machine performance across locations. With faster access to accurate data, staff could plan stock refills and promotions more efficiently. At the same time, the centralized platform allowed the business to expand its vending network without adding extra operational workload.
