As digital accelerator we advice enterprises on building digital roadmap and adopt solutions to improve productivity, efficiency, customer experience
Joined December 2023
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208 Photos and videos
Digital transformation in manufacturing often starts with ERP, dashboards, automation, AI. Yet the same solution delivers different outcomes across plants. A Digital Maturity Assessment helps identify gaps, priorities, and practical next steps for higher ROI and business impact.
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Manufacturers often ask: Where should digital transformation begin? A strong start is ERP for structure and visibility. Then focus on inventory, production quality, and maintenance. Start with the foundation, then improve step by step. #Manufacturing #DigitalApplication
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Manufacturing data becomes valuable when the right things are tracked. A strong starting point: ๐ Production Data โ๏ธ Machine Data โ
Quality Data ๐ง Maintenance Data. Together, they create a clearer view of operations and performance. #Manufacturing #Industry40 #Digitalization
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Cloud vs On-Premise is one of the first decisions in manufacturing digitalization. On-premise gives full control but needs higher investment, maintenance, cybersecurity, and IT support
For most SMEs, cloud systems are easier to scale, manage, and maintain.#DigitalManufacturing
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Is MES relevant for SMEs?
A MES gives real shopfloor visibility, tracking efficiency, productivity, and costs at an operation level.
In Episode 3 of Digital Factory Decoded, we explore where to start, what to prioritize, and if ERP is enough.
Watch: youtu.be/9WddBc-K-Gk
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#ERP โ #digitalization.
ERP manages orders & planning, but doesnโt show real-time shopfloor reality.
In Episode 3 of Digital Factory Decoded, we break down:
What to adopt, where to start, and if ERP alone is enough.
Watch: youtu.be/9WddBc-K-Gk?si=lJKnโฆ
Follow @digiXLT for more.
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Thanks for the strong response to Digital Factory Decoded.
Episode 3 tackles the real question: which digital applications actually deliver impact?
๐
23 April | โฐ10 AM
If youโre planning your next digital move, donโt miss this.
#podcast #digitalization #manufacturing #msme
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Jumping into tools, platforms, and dashboards without defining the problem is why most digital initiatives underdeliver.
Fix the foundation first.
Run a Design Thinking workshop with @digiXLT and start solving the right problems.
#designthinking
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The missing link between planning and production:
Your ERP says all is on track. The shopfloor tells a different story.
Small gaps, delays rarely visible in time.
digiSmart connects realtime shopfloor data to ERP, so decisions reflect reality.
#MES #ERP #DigitalManufacturing
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Digital Factory Decoded, Episode 2 - Digital Foundation youtu.be/ftvrrhN_jJI?si=vApTโฆ via @YouTube
Digital initiatives in #manufacturing fail due to weak foundations.
Episode 2 of our podcast breaks down how to build it right.
@minmsme @ASSOCHAM4India @FollowCII @amitsaluja73
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How Hindustan Unilever Limited recognized by the WEF as a Value Chain Lighthouse.
50 digital use cases across the value chain.
Planning cycles cut from 14 days โ 1 day.
Changeover time โ 85%.
Product availability โ 90% .
A strong example of digital delivering real impact.
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Machines and Operators are occupied, still the actual output doesnโt match what the plant is capable of.
Thatโs what we will discuss in our Free Live Webinar on "๐ ๐ฎ๐
๐ถ๐บ๐ถ๐๐ฒ ๐๐ฎ๐ฝ๐ฎ๐ฐ๐ถ๐๐ ๐จ๐๐ถ๐น๐ถ๐๐ฎ๐๐ถ๐ผ๐ป".
๐ณ๐ฒ๐ ๐๐ฒ๐ฎ๐๐ ๐น๐ฒ๐ณ๐.
forms.gle/tTP45vfagrHsDMHW8
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ACG Capsulesโ Pithampur facility was recognized by the WEFโs Global Lighthouse Network in 2023, becoming the worldโs first capsule manufacturing factory to achieve this. A strong example of how AI, IIoT and advanced analytics can drive manufacturing excellence and Industry4.0.
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Monitoring production creates visibility.
But visibility alone does not improve performance.
Monitoring โ Awareness
Control โ Execution
Optimization โ Operational Excellence
Factories that move beyond monitoring are the ones that improve productivity, cost, and throughput.
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Manufacturing problems are often solved too quickly.
Machine stops โ fix the machine.
Delays โ push the team.
Quality issues โ add inspection.
Symptoms get fixed, but root causes remain.
@digiXLT's DesignThinking helps teams step back understand real shopfloor workflows.
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OEE isnโt hard to calculate.
OEE = Availability ร Performance ร Quality.
The real challenge? Consistency across shifts.
Different downtime rules, manual estimates, and varying cycle standards make shift comparisons unreliable.
OEE should drive loss visibility, not just reporting.
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