Inventory Management

A Flexible Business Can’t Run on a Rigid Point-of-Sale

Many point-of-sale (POS) systems are marketed as being able to “fit any business.” But in reality, retail operations rarely look the same. A grocery store, a furniture showroom, and a boutique may all process sales, yet the workflows, compliance requirements, and customer expectations are vastly different. When the technology doesn’t account for those differences, the friction begins to show — in duplicate data entry, checkout delays, or even missed opportunities for customer engagement.

These issues are more than small inconveniences. Over time, they erode revenue, consume staff resources, and undermine customer trust.

Smarter Inventory Systems Through Advanced Data Analytics and Software Development

Inventory management has become a make-or-buy decision in the world of small online stores as well as in the world of international supply chains. The old systems that previously made use of manual tracking and simple reporting can no longer be able to support the complexities of the modern functions.

Combine the best of data analysis and software development two fields that are changing the way companies handle inventory, demand and supply chain optimization. They combine to produce a new generation of smart and versatile inventory systems that can learn, forecast and evolve ever-better.

Smart Inventory Management in the Cloud: Best Practices & Strategies

Any products based business is the life blood of the inventory. Be it a retail store, distribution company, or eCommerce site, the appropriate products could be at the right place at the right time and be of great importance to customer satisfaction as well as profitability. However, the conventional approaches of inventory management, which are the use of manual spreadsheets, unintegrated systems, or the use of old software, can usually result into ineffectiveness, mistakes, and missed opportunities.