Denike 😘

Chemist| Supply Chain Analyst| Inventory| Forecasting| Purchasing Lead| Supply Chain storyteller| culture and family lover|
Convener #DearSupplyChainers

[Denike 😘 @ElixadeKare]

I need to have this pinned on my X account so i won't forget easily cos I sometimes do🥲

[Leke Alder @LekeAlder]

God is maximalist. His default is largeness, vastness, and bigness. His mind is an ocean.

[Denike 😘 @ElixadeKare]

@bookingcom your company seems to be acting in a fishy fraudulent way. If not, tell me why I will cancel a booking in 30 minutes and you guys did not get it done even till now. That is absurd and insane at the same time. Never patronized you until now and never will!!!

[Denike 😘 @ElixadeKare]

Dear Supply Chainers,

Happy Wednesday! I guess I'm back and better and hoping to continue at this pace. On today's episode of telling the supply chain story on @DearSupplyChain, I want to talk about the role of AI in supply chain based on learning. It has become increasingly important that I talk about AI in this field for obvious reasons that you and I know about.

Story caption: Imagine you have some data on predicted and actual sales for the past 2 years but how will things will change in another 2 years based on this data trend?

First, know that AI can be built using supervised learning and unsupervised learning method depending on what the company wants. Let's break it down in simple words. You are aware of where your data in the above storyline is coming from right? They are previous years' predicted and actual sales data so that means they are labelled data. These labelled data are what is fed into machine to train and build model that can predict what the future demand and sales will look like. In this scenario, there is a desired outcome which you are guiding the system to do.

Unsupervised learning on the other hand, is when you feed the machine with many data and want it to look out for patterns on its own, here you do not have any desired outcome. Whatever the outcome, you get to know what you do not know before and act on the new information accordingly.

If you would be a professional in today's AI age, you need to do some few things. Have a framework of what you intend to achieve and work towards it by starting small and collaborating. Note that Supply chain is complex and whatever you want to build must be like a puzzle ready to fit into other area of this complex chain. Have clean and reliable data, have the right mindset that AI is not a one time project but a continuous thing. Also, remember that you need collaboration with other professional experts that you have worked with before AI came into the picture because the way AI will function in forecasting is not the same as logistics or execution. So, collaboration is a big deal.

Many companies are worried about having a cost effective AI system and they need help. They forgot that just like you can buy a fraction of a warehouse space you can do that with existing AI platforms. They just need to buy a domain or space from Claude, Chatgpt etc. In their domain, AI system unique to your company using your own data can be built. Imagine it as AWS SaaS.

Summarily, if you are starting out in supply chain, you need to understand what AI is and what it is not. Data is the currency for a successful AI system. Do this assignment, identify a small or medium sized company, look into their data system, is it harmonious or fragmented? do they make data driven decisions? fix this two things and then you can think of AI.

I hope you have learnt something about AI learning application in supply chain. There are so many things to say but take it up from here, read, ask questions, do research. Till next time, bye!
#AIinsupplychain
#DearSupplyChainers
#Supplychainstory

[Denike 😘 @ElixadeKare]

@Ade44yinka Auditing and compliance is synonymous to GRC-governance, risk and compliance. there are free videos on LinkedIn that can help. ERP is a system used in companies, check https://t.co/xQ9rjQVBpt to get an overview of what it is. I think they have some free training too.

[Denike 😘 @ElixadeKare]

Dear Supply Chainers,
It has been a while on telling stories about your supply chain. Life has been busy for me lately but I'm still here. On today's episode of getting to know what supply chain is and how it works I will be telling you another story.

Story caption: You bought a cheese from the store, but did you think of how many things went into the making?

Okay, I want you to picture your family tree. Yes, you heard me right 😂, everyone has a family tree so I suppose you have one, even if you do not know all of them.A supply chain is likened to a family tree, everything is interconnected. There is no isolation of anything whatsoever.

Today, I want to talk about that the supplier family tree for the cheese I mentioned above. Just like you have aunts, uncles on both your paternal and maternal side, likewise, in Supply chain, we have supplier tiers. Depending on the complexity of your supply chain, we have Tier 1, Tier 2 and so on.

Take for example, If there is a reported cases of food poisoning from a cheese purchased at a certain grocery store and need to be investigated, the store must be able to provide who supplied them with the cheese, who made the plastic bags for the cheese?
what condition was it shipped?
did the employees who packaged the cheese follow the standard hygienic protocol while doing that? and so on. Supplier tier traceability is a big deal in supply chain, if you want to know the weightiness of it, check the aerospace industry.

Though it is very important, but it is funny to inform you that many companies do not have any solid relationship with suppliers beyond Tier 1 and that's all. This is why everywhere is thrown into chaos if anything happens.

One major reason for inaccurate or non-existential tier traceability in many companies' supplier tiers is heavy presence of fragmented data and lack of solid and continuous relationship. Hence, communication systems are broken or not even realistic beyond the Tier 1 supplier. As a result, many companies sometimes push the liabilities of whatever happens to their Tier 1 suppliers. While this is doable to an extent, companies reputation is on the line especially if this area happens to be their core competencies(read about core competencies in my previous stories). Additionally, getting it right is good for competition in the market too.

I do not know if you are thinking what I am thinking, if not, let me help you, since supplier traceability is a big deal in supply chain, then companies are looking for professionals who can help them manage supplier of supplier of suppliers in terms of data, communication and connectivity. No amount of AI can fix a broken system because it needs to be fixed first before AI can help. In fact, AI needs clean data to train its model, else, we would just have a biased AI model churning out wrong answers that would lead companies astray.

If you are looking into starting out in supply chain, get on data skills and visualization, know how ERP system, touch base with some auditing and compliance materials etc. and you will be duly sort for.

I hope you learnt something today, till next time, bye!
#Supplychain
#DearSupplyChainers
#SupplierTiers

[Denike 😘 @ElixadeKare]

Hi, Unfortunately, you need to be hired by a company who uses ERP to really have full access to one. However, you can watch a demo on ERP by going to https://t.co/MOPXhnxAYM I guess and do some free training with them. I think they have paid service too.
I hope that helps. Thanks

[Abdulsamad @richtosho]

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[Denike 😘 @ElixadeKare]

RT @ElixadeKare: Dear Supply Chainers,
It has been a while on telling stories about your supply chain. Life has been busy for me lately but…

[Àgbàakin of Europe🇳🇬 🇪🇺 @powerfulbadeeu]

Between Supply chain & Tech.

I heard people talking about Supply chain waves as if Supply chain is in itself a new niche, but that’s by the way.

During the Tech wave, you’d see people specializing in Cybersecurity, Data analysis, product development, DevOps & so on. It’s very uncommon that you see anyone being a specialist beyond one or two.

In Supply chain, we have different specialty as well, such as Demand planning, Material planning, procurement, Logistics, production planning, Distribution requirement planning & so on.

But unlike Tech, I can be an expert in Demand planning & be hired for a senior position in procurement, I can be an expert in Supply planning & be hired for a role in production planning, the roles are so interwoven that once you’ve mastered one very well, you can be relied upon to be trained in the other within 1-3 months & you’ll get the concept effortlessly.

When people ask me which niche of supply chain should they focus on; I always tell them to choose one & excel in it, with that, you’ll find it easy to sidestep into others if need be.

I have by the grace of God work as a supply chain professional in 3 Fortune 500 companies in different roles.

1) Distribution requirement planning
2) Demand planning
3) Material planning.

The first company trained me, The second company hired me with only my knowledge of number 1 & the third company hired me with only the knowledge of number 1 & 2; different positions, yet, only with the knowledge of being a Supply chain expert.

Talk to me, what are you still waiting for, wouldn’t you want to explore this career path too?

[Blake Burge @blakeaburge]

One of the best pieces of advice I ever got: If you want a calmer life, you need to address small problems while they’re still small. The cost of dealing with an issue rarely gets cheaper with time. Procrastination turns uncomfortable things into unavoidable things.

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[Tai Lopez @tailopez]

To fall asleep you first pretend to be asleep. That's how everything in life works.

[Denike 😘 @ElixadeKare]

@UBAGroup Hi, please I’d like to know how long does it take your customer service to reply to an email?
Thanks

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[Denike 😘 @ElixadeKare]

There is a free course on Artificial Intelligence and Career Empowerment" developed by the Robert H. Smith School of Business, University of Maryland. It is a self-paced, 25-hour certificate requires no college application and is completely free to global learners. Here is the link: https://t.co/j4i9YDHCKf
Happy learning. RT

[Denike 😘 @ElixadeKare]

Dear Supply Chainers,
I hope your work is going on well. Today, I will be concluding my #sequel on the stages involved in Supply Chain maturity. Before now, I have talked about the first 3 stages and the last two stages will be covered here. Grab a seat and let's dive in!

The #fourth stage is the 𝐞𝐱𝐭𝐞𝐧𝐝𝐞𝐝 𝐜𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐯𝐞 supply chain. In simple logic, extended here implies that the company at this stage is beginning to extend its collaborative approach(that started in stage 3) to its suppliers who we would considered as outside stakeholders in this scenario. Here, there is 𝒔𝒖𝒑𝒑𝒍𝒊𝒆𝒓 𝒄𝒐𝒍𝒍𝒂𝒃𝒐𝒓𝒂𝒕𝒊𝒐𝒏 which will definitely call for 𝒓𝒆𝒂𝒍-𝒕𝒊𝒎𝒆 𝒅𝒂𝒕𝒂 𝒔𝒉𝒂𝒓𝒊𝒏𝒈, there will be 𝒗𝒆𝒏𝒅𝒐𝒓 𝒎𝒂𝒏𝒂𝒈𝒆𝒅 𝒊𝒏𝒗𝒆𝒏𝒕𝒐𝒓𝒚(VMI)-I'll talk about it in another post) depending on the item involved and across the company's network 𝒍𝒐𝒈𝒊𝒔𝒕𝒊𝒄𝒔 𝒐𝒑𝒕𝒊𝒎𝒊𝒛𝒂𝒕𝒊𝒐𝒏 . This stage is beautiful but yet challenging. A lot of data sharing is involved hence, data security and trust is very important and of course there is a heavy reliance on partners/suppliers capabilities. Beyond these named possible challenges, this stage is characterized by 𝑒𝑛𝑑-𝑡𝑜 -𝑒𝑛𝑑 𝑣𝑖𝑠𝑖𝑏𝑖𝑙𝑖𝑡𝑦, 𝑠𝑡𝑟𝑜𝑛𝑔 𝑠𝑢𝑝𝑝𝑙𝑖𝑒𝑟 𝑟𝑒𝑙𝑎𝑡𝑖𝑜𝑛𝑠ℎ𝑖𝑝 𝑎𝑛𝑑 𝑓𝑜𝑐𝑢𝑠 𝑜𝑛 𝑡𝑜𝑡𝑎𝑙 𝑠𝑢𝑝𝑝𝑙𝑦 𝑐ℎ𝑎𝑖𝑛 𝑐𝑜𝑠𝑡𝑠 𝑎𝑛𝑑 𝑛𝑜𝑡 𝑗𝑢𝑠𝑡 𝑡ℎ𝑒 𝑖𝑛-𝑐𝑜𝑚𝑝𝑎𝑛𝑦 𝑐𝑜𝑠𝑡𝑠. Dell Technologies is a typical example of a company at stage 4 maturity in the 1990s, it built a highly responsive supply chain with its suppliers by establishing the build-to-order model, this is a model that is heavily centered around suppliers and cannot be achieved without a high level collaboration, data sharing and coordination.

The #fifth maturity stage is the 𝐃𝐢𝐠𝐢𝐭𝐚𝐥/𝐝𝐞𝐦𝐚𝐧𝐝 𝐝𝐫𝐢𝐯𝐞𝐧 𝐬𝐮𝐩𝐩𝐥𝐲 𝐜𝐡𝐚𝐢𝐧 . The typical addition in this stage compared to the 4th stage is the inclusion of 𝒑𝒓𝒆𝒅𝒊𝒄𝒕𝒊𝒗𝒆 𝒂𝒏𝒅 𝒑𝒓𝒆𝒔𝒄𝒓𝒊𝒑𝒕𝒊𝒗𝒆 𝒂𝒏𝒂𝒍𝒚𝒕𝒊𝒄𝒔, 𝒔𝒄𝒆𝒏𝒂𝒓𝒊𝒐 𝒎𝒐𝒅𝒆𝒍𝒊𝒏𝒈 𝒂𝒏𝒅 𝒂𝒖𝒕𝒐𝒎𝒂𝒕𝒊𝒐𝒏. It is a 𝑐𝑢𝑠𝑡𝑜𝑚𝑒𝑟-𝑐𝑒𝑛𝑡𝑟𝑖𝑐 𝑓𝑢𝑙𝑓𝑖𝑙𝑙𝑚𝑒𝑛𝑡 𝑠𝑡𝑎𝑔𝑒 and depends heavily on data than before. As a result, there is more exposure to cybersecurity risks and high investment is involved. This is one of the reason among many others as to why many companies are always in need of cybersecurity experts. As supply chain keep evolving, the more the risk because of the depth of data involved.
Amazon is a very good example for this stage. Since 2010, Amazon has consistently used predictive analytics and automation interdependently. This partly account to why you order an item today and somehow it's delivered in 2 days in almost all cases. That is the power of a supply chain that has matured, keeps maturing into maximizing automation-which some people now consider as the sixth stage of supply chain maturity.

If you are looking to apply to a Supply chain role in a Company, take a cue from the stories I've been telling to and analyze what stage you think they might be. This will help you know firsthand the duties required of you in your prospective role and you can prepare adequately for the interview by tailoring your response to what they are looking for. I wish you all the best in your endeavor.
I hope you learnt something, till next time, bye!

#SupplyChain
#Dearsupplychainers
#Supplychainmaturity
#Storytelling

[R(R) @real1800splurge]

somewhere in your 20s or 30s you’ll get the opportunity to rebuild your life after a negative loop. its very important that you see that journey through