Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(21)

Clean Tech(9)

Customer Journey(17)

Design(45)

Solar Industry(8)

User Experience(68)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(6)

Manufacturing(5)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(33)

Technology Modernization(9)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(41)

Insurtech(67)

Product Innovation(59)

Solutions(22)

E-health(12)

HealthTech(25)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(154)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(8)

Computer Vision(8)

Data Science(24)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(48)

Natural Language Processing(14)

expand Menu Filters

Raising the Bar: Key Takeaways from Salesforce ‘Connected Customer’ Conference

Living up to the Customer is the nouveau and delicate challenge surrounding digital enterprises today. The holisitic shift in focus has parlayed the reaps of experimentation around ‘customer loyalty’ a decade ago, into a new hymn praising the ‘extraordinary experiences’ that businesses can now deliver to their customers. Moreover, 84% of customers say the experience a company provides is as important as its products and services – up from 80% in 2018.

Remarkably, business buyers are just as picky and choosy about their purchase decisions as the consumers they’re coddling — and with good reason too. 89% of business buyers vs 83% of consumers share similar views on the role of customer experience. Both groups also share similar expectations from companies engaging with them — they all need more product information, product choices, and product types to make the most informed buying decisions. 


Personalised Journeys

Salesforce’s recent report points the digital arrow towards intelligence in the connected customer journey. The expectations are as clear as they are loud — more personalisation. When customers’ needs are left unmet by their primary engager, even after several interactions, the relationship weakens. As a result, at least 52% of all customers (including millennials and Gen Z’ers) feel companies are generally impersonal. 

Modern customer engagement happens in real time, (71% of customers feel this way) — highlighting how hurriedly the consumer’s attention is split.

AI-powered Experiences

Truly the stakes have never been higher than they are now. To raise the bar, companies are turning to data to solve these challenges. An intelligent experience for any customer has to have AI built-in, be outcome-focused, complete, actionable, simple and trustable. 


Source: Salesforce State of the Connected Customer

All AI is based on data, specifically good data. But data can’t be sourced from within the company alone. Lots of external data sources are critical to training advanced machine learning models. Nowadays, most organisations are data rich, information poor and ineptly staffed.

Browsing and discovery are closely shaping the way businesses organize service and delivery. According to the report, more than half of customers expect to find whatever they need in three clicks or less. The future state of connectivity is already trying to reduce these clicks to zero, where the experience is hyper-connected and hyper-individualized, right before the customer even decides to buy.

Why Good Data?

Good data enriches unique insights into the customer’s behavior and interests. Customer buying decisions don’t always follow a well-defined rationale or logic. So, to train a model to understand human behavior and preferences — we teach the model a variety of identifiable patterns that the model will then learn and perfect on. Using this learned information, we can approximate for the next buyer! This way the model behaves like a sales rep who is able to identify who the best customers are, why they like your products or services, and even why they prefer yours over competitors.


Source: Salesforce State of the Connected Customer

From Multi to Omni

Millennials & Gen Z are the most omni-channel group among today’s consumers — utilizing around 11 channels on average. Noteworthily, the report reveals that business buyers are not that different; sixty-seven percent of them prefer to buy through multiple digital channels. Business buyers are more likely than consumers to value product

By placing the customer at the heart of the problem, organizations are under more pressure than ever to deliver real-time results, seamless hand-offs and ultra-contextualized experiences. An emphasis on developing strong policies surrounding the collection and use of data — demonstrates a level of commitment that doesn’t go unnoticed by customers. Infact, the ROI of sound data practices extends beyond trust. The key to winning customer experience begins with being transparent about their data. Companies focusing on the quick sale will have to take an ongoing investment in the customer relationship, well after the deal is done, to stand a chance at winning in the connected future.

We help startups and enterprises, build & scale AI-driven products and solutions for last mile environments. Reach out to us on hello@mantralabsglobal.com, to learn more.

Cancel

Knowledge thats worth delivered in your inbox

Smart Manufacturing Dashboards: A Real-Time Guide for Data-Driven Ops

Smart Manufacturing starts with real-time visibility.

Manufacturing companies today generate data by the second through sensors, machines, ERP systems, and MES platforms. But without real-time insights, even the most advanced production lines are essentially flying blind.

Manufacturers are implementing real-time dashboards that serve as control towers for their daily operations, enabling them to shift from reactive to proactive decision-making. These tools are essential to the evolution of Smart Manufacturing, where connected systems, automation, and intelligent analytics come together to drive measurable impact.

Data is available, but what’s missing is timely action.

For many plant leaders and COOs, one challenge persists: operational data is dispersed throughout systems, delayed, or hidden in spreadsheets. And this delay turns into a liability.

Real-time dashboards help uncover critical answers:

  • What caused downtime during last night’s shift?
  • Was there a delay in maintenance response?
  • Did a specific inventory threshold trigger a quality issue?

By converting raw inputs into real-time manufacturing analytics, dashboards make operational intelligence accessible to operators, supervisors, and leadership alike, enabling teams to anticipate problems rather than react to them.

1. Why Static Reports Fall Short

  • Reports often arrive late—after downtime, delays, or defects have occurred.
  • Disconnected data across ERP, MES, and sensors limits cross-functional insights.
  • Static formats lack embedded logic for proactive decision support.

2. What Real-Time Dashboards Enable

Line performance and downtime trends
Track OEE in real time and identify underperforming lines.

Predictive maintenance alerts
Utilize historical and sensor data to identify potential part failures in advance.

Inventory heat maps & reorder thresholds
Anticipate stockouts or overstocks based on dynamic reorder points.

Quality metrics linked to operator actions
Isolate shifts or procedures correlated with spikes in defects or rework.

These insights allow production teams to drive day-to-day operations in line with Smart Manufacturing principles.

3. Dashboards That Drive Action

Role-based dashboards
Dashboards can be configured for machine operators, shift supervisors, and plant managers, each with a tailored view of KPIs.

Embedded alerts and nudges
Real-time prompts, like “Line 4 below efficiency threshold for 15+ minutes,” reduce response times and minimize disruptions.

Cross-functional drill-downs
Teams can identify root causes more quickly because users can move from plant-wide overviews to detailed machine-level data in seconds.

4. What Powers These Dashboards

Data lakehouse integration
Unified access to ERP, MES, IoT sensor, and QA systems—ensuring reliable and timely manufacturing analytics.

ETL pipelines
Real-time data ingestion from high-frequency sources with minimal latency.

Visualization tools
Custom builds using Power BI, or customized solutions designed for frontline usability and operational impact.

Smart Manufacturing in Action: Reducing Market Response Time from 48 Hours to 30 Minutes

Mantra Labs partnered with a North American die-casting manufacturer to unify its operational data into a real-time dashboard. Fragmented data, manual reporting, delayed pricing decisions, and inconsistent data quality hindered operational efficiency and strategic decision-making.

Tech Enablement:

  • Centralized Data Hub with real-time access to critical business insights.
  • Automated report generation with data ingestion and processing.
  • Accurate price modeling with real-time visibility into metal price trends, cost impacts, and customer-specific pricing scenarios. 
  • Proactive market analysis with intuitive Power BI dashboards and reports.

Business Outcomes:

  • Faster response to machine alerts
  • Quality incidents traced to specific operator workflows
  • 4X faster access to insights led to improved inventory optimization.

As this case shows, real-time dashboards are not just operational tools—they’re strategic enablers. 

(Learn More: Powering the Future of Metal Manufacturing with Data Engineering)

Key Takeaways: Smart Manufacturing Dashboards at a Glance

AspectWhat You Should Know
1. Why Static Reports Fall ShortDelayed insights after issues occur
Disconnected systems (ERP, MES, sensors)
No real-time alerts or embedded decision logic
2. What Real-Time Dashboards EnableTrack OEE and downtime in real-time
Predictive maintenance using sensor data
Dynamic inventory heat maps
Quality linked to operators
3. Dashboards That Drive ActionRole-based views (operator to CEO)
Embedded alerts like “Line 4 down for 15+ mins”
Drilldowns from plant-level to machine-level
4. What Powers These DashboardsUnified Data Lakehouse (ERP + IoT + MES)
Real-time ETL pipelines
Power BI or custom dashboards built for frontline usability

Conclusion

Smart Manufacturing dashboards aren’t just analytics tools—they’re productivity engines. Dashboards that deliver real-time insight empower frontline teams to make faster, better decisions—whether it’s adjusting production schedules, triggering preventive maintenance, or responding to inventory fluctuations.

Explore how Mantra Labs can help you unlock operations intelligence that’s actually usable.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot