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Digitate for Retail Announced

Digitate announced Digitate for Retail.

The solution, built on Digitate’s award-winning Artificial Intelligence Operations (AIOps) platform, has been successfully deployed by more than 50 global leading retailers and Fortune 500 companies to fundamentally transform their retail operations.

Digitate for Retail integrates AI and intelligent automation to convert retail data across systems, applications, and business transactions into actionable intelligence. It streamlines daily retail business readiness and eliminates system failures by automatically flagging and diagnosing problems, proactively resolving them, in addition to helping predict and prevent them. As a result, IT teams gain end-to-end visibility to monitor, troubleshoot, and prevent business-critical incidents early, thereby delivering consistent customer experience and revenue assurance.

Using the Digitate platform, retail enterprises can assure resilient operations for critical business functions across retail and digital stores, ecommerce, and warehouses, reducing supply chain vulnerabilities. In addition, retailers are empowered to ensure business workflows such as stock replenishments and deliveries are completed on time, execute timely data synchronization across various application and point-of-sale (POS) systems, inventory reconciliation, plan for peak demand periods, and ensure 24x7 system availability and performance. Digitate also enables retail customers to address challenges such as “pricing not available at POS,” “products not on shelf,” service level agreement (SLA) fines, and application unavailability, which all affect revenue and bottom line, and predict where future system problems may occur, enabling contingency plans to be put in place.

“Digital buyers in United States are expected to surpass 275 million1 in 2023. Retail enterprises today rely on IT innovations to meet ever changing customer demands, make business processes more agile and prepare for business uncertainties,” said Rajiv Nayan, VP, Sales and Client Services at Digitate. “Forward-looking IT leaders in retail enterprises are adopting AI and intelligent automation to enable smooth end-to-end retail operations, enjoy complete visibility across complex hybrid technology stacks, and reduce the risk of incidents.”

Key business benefits of Digitate for Retail include:

- Streamlining start-of-business day processes with business health monitoring

- Enhancing customer experience by eliminating POS failures, not-on-shelf and not-on-file scenarios

- Assuring availability, performance and capacity of business applications as well as underneath platforms and infrastructure

- Monitoring the health of all critical business functions across geographically distributed retail stores and digital applications

- Proactively identifying events, understanding root-causes and their potential business impact

- Resolving incidents with intelligent automation

- Ensuring smooth business transactions​ across multiple payment gateways

- Predicting and resolving potential SLA misses before they happen

- Better management of Enterprise Resource Planning (ERP) Operations

- Resolve system failures autonomously across POS, devices, applications, and transactions

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Digitate for Retail Announced

Digitate announced Digitate for Retail.

The solution, built on Digitate’s award-winning Artificial Intelligence Operations (AIOps) platform, has been successfully deployed by more than 50 global leading retailers and Fortune 500 companies to fundamentally transform their retail operations.

Digitate for Retail integrates AI and intelligent automation to convert retail data across systems, applications, and business transactions into actionable intelligence. It streamlines daily retail business readiness and eliminates system failures by automatically flagging and diagnosing problems, proactively resolving them, in addition to helping predict and prevent them. As a result, IT teams gain end-to-end visibility to monitor, troubleshoot, and prevent business-critical incidents early, thereby delivering consistent customer experience and revenue assurance.

Using the Digitate platform, retail enterprises can assure resilient operations for critical business functions across retail and digital stores, ecommerce, and warehouses, reducing supply chain vulnerabilities. In addition, retailers are empowered to ensure business workflows such as stock replenishments and deliveries are completed on time, execute timely data synchronization across various application and point-of-sale (POS) systems, inventory reconciliation, plan for peak demand periods, and ensure 24x7 system availability and performance. Digitate also enables retail customers to address challenges such as “pricing not available at POS,” “products not on shelf,” service level agreement (SLA) fines, and application unavailability, which all affect revenue and bottom line, and predict where future system problems may occur, enabling contingency plans to be put in place.

“Digital buyers in United States are expected to surpass 275 million1 in 2023. Retail enterprises today rely on IT innovations to meet ever changing customer demands, make business processes more agile and prepare for business uncertainties,” said Rajiv Nayan, VP, Sales and Client Services at Digitate. “Forward-looking IT leaders in retail enterprises are adopting AI and intelligent automation to enable smooth end-to-end retail operations, enjoy complete visibility across complex hybrid technology stacks, and reduce the risk of incidents.”

Key business benefits of Digitate for Retail include:

- Streamlining start-of-business day processes with business health monitoring

- Enhancing customer experience by eliminating POS failures, not-on-shelf and not-on-file scenarios

- Assuring availability, performance and capacity of business applications as well as underneath platforms and infrastructure

- Monitoring the health of all critical business functions across geographically distributed retail stores and digital applications

- Proactively identifying events, understanding root-causes and their potential business impact

- Resolving incidents with intelligent automation

- Ensuring smooth business transactions​ across multiple payment gateways

- Predicting and resolving potential SLA misses before they happen

- Better management of Enterprise Resource Planning (ERP) Operations

- Resolve system failures autonomously across POS, devices, applications, and transactions

The Latest

Outages aren't new. What's new is how quickly they spread across systems, vendors, regions and customer workflows. The moment that performance degrades, expectations escalate fast. In today's always-on environment, an outage isn't just a technical event. It's a trust event ...

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...