Prelert launched a new Retail Order Analytics solution, which helps online and multichannel retailers identify technical and operational issues as they’re happening in order to stem losses and protect revenue streams.
The technology is already being used by a number of retailers to improve digital commerce efficiency, including one of the world’s largest multichannel brands and one of the world’s largest pure-play ecommerce sites.
Prelert’s Retail Order Analytics solution can be broadly applied to analyze real-time transaction metrics such as orders per minute, carts created per minute, invoices per hour, or deposits per hour, so that revenue-impacting events can be found and fixed quickly. For example, after automatically learning what normal behavior looks like within any given metric, it can identify issues such as an unusually high number of abandoned carts, an unusually low number of completed checkouts, or even an invoice brown-out, so the root cause can be identified and addressed in near real time.
Accurately modeling periodicity – also known as seasonality – is a difficult data problem for retailers to solve. As a result, automated data analysis is becoming necessary for retailers to identify critical problems and avoid drowning in false positive alerts. Due to the varying nature of periodic data, writing rules that can accurately monitor constantly changing behaviors is nearly impossible. Employing humans to watch dashboards and graphs is expensive and subject to human error. Even using supervised or trained machine learning is a poor solution because it can generate a stream of false alerts as data patterns change.
Built with unsupervised machine learning technology, Prelert’s solution automates data analysis and automatically detects the periodicity of daily and weekly order cycles. It adapts to changing data patterns that may result over time due to factors such as a new product becoming available or current events that cause a spike in product interest, and constantly updates its self-generated models of normal baselines. As a result, it accurately finds deviations in expected behavior that can indicate costly problems.
“A significant drop in the number of orders taken by an e-commerce site during a particular day might be obvious in retrospect, but can be very difficult to catch in near real time without automated machine learning. Static thresholds and even moving averages can’t reliably identify issues,” said Mark Jaffe, CEO of Prelert. “Our anomaly detection algorithms have been proven to work and provide significant ROI within hundreds of progressive IT organizations around the globe. We can provide the same value now for retail and ecommerce organizations, with a solution tailored specifically for them.”
Prelert is easy to deploy, bringing analytics to where an organization’s data already resides to analyze it in near real time. In addition, an open API allows developers to use Prelert in their own products or environments.
The Latest
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...
An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...
Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...
In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...
Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...
As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...
According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...
Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...
IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...
Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...
