Build | Be Different

Thought leading insights and perspective from Isima and our customers.

Introduction What is the common infrastructure hurdle shared by high-frequency trading, ad bidding, and eCommerce? Accurate and real-time inventory. All these domains have a finite commodity to trade, and it’s constantly changing hands — every nanosecond, millisecond, or second.  If an overly accurate view of inventory is provided, the risk is lost business, and likewise, […]

Customer data is imported into bi(OS) through various mechanisms, some requiring us to expose a public HTTP endpoint. These endpoints are protected against bots. We also record these attack vectors within bi(OS). We built this multi-cloud bot detection capability in 4 weeks using this data. Further, this dynamic list of bots is also made available to all our customers.
The world’s largest eCommerce player uses zero third-party pixels. The second largest uses 20+. The second-largest player has 6X lower traffic and 2X worse conversion after 20+ years of eCommerce. Is it a coincidence?  We think not. The last decade of SaaS-based crutches to optimize the eCommerce funnel has failed. As consumers demand ever-increasing privacy, the walled gardens of Google and Apple are responding with tightening around third-party support. It's time for a new way to approach eCommerce analytics that optimizes conversions, customer experience (CX), and privacy.
Distributed systems are hard. Infrastructure SLAs, sluggish database queries, and microservices latencies must be stitched together to form an accurate view for any eCommerce business. Add agile CI/CD with a Kubernetes-esque control plane, and the fragmented observability toolchain becomes a tax. How does one answer a simple question: are the customer experience (CX) and business KPIs healthy?  Well, that’s what bi(OS) empowers eCommerce teams to do.
I am Saurabh, a Tech Lead at Pharmeasy. My team develops and maintains the ML infrastructure for serving customer recommendations. Last year, we deployed our first real-time recommendation engine for non-Rx product category recommendations on our home page.  This blog will explain how Isima’s bi(OS) helped with this initiative and the solution architecture for recommendations.

Introduction The PHH Group was formed by merging Lithuanian Pigu. lt and Finnish retail giant Hobby Hall. The group operates online shops and marketplaces in Finland, Estonia, Latvia, and Lithuania. Over 4,000 merchants sell on the group’s marketplaces like, and The PHH group owns five eCommerce properties across four EU countries that […]

In the early 90s, Intel ran a campaign about spotting the very best PCs. This decade established Intel as the undisputed leader in microprocessors. 30 years later, engineers at Intel and Isima decided to attempt the same for data and analytics.