Rizz~Branson🩵 🌜

CEO|Hospitality Guru🍷| Lover of God | Peace lover| @ChelseaFc Stan| Future oyo state Gov| psalm 23| Romans 8:28 |psalm 91:10🤲... 💯❤️

[Victor Ugwu | Excel Automation for Logistics @_VictorUgwu]

Only 10 seats left. We start this Friday, July 24.

Most supply chain professionals spend hours every week updating Excel reports manually.

The problem isn't Excel.

It's knowing how to use it for supply chain decision making.

In the next 5 weeks, I'll teach you how to analyze inventory, logistics performance, supplier data, procurement metrics, and operational KPIs using Excel and AI.

This is a practical bootcamp.

You will build dashboards.

You will work with real supply chain datasets.

You will learn how to automate repetitive reporting.

You will complete a capstone project you can confidently add to your portfolio.

What you'll learn

• Excel for Supply Chain Analytics

• Inventory and Logistics Analysis

• Interactive Dashboard Development

• KPI Reporting

• AI Powered Data Analysis

• Real World Projects

• Certificate of Completion

Early Bird Fee

₦50,000 or $50

Bootcamp Starts

Friday, July 24

Only 10 seats remain.

If you've been waiting for the right time to develop practical supply chain analytics skills, this is your opportunity.

To register

📧 [email protected]

📞 08087508823

[Victor Ugwu | Excel Automation for Logistics @_VictorUgwu]

8 Days To Go.

In eight days, another group of professionals will begin a journey that can completely change how they work with supply chain data.

The difference between a good supply chain professional and an exceptional one is not just experience. It is the ability to turn data into decisions.

Companies are looking for people who can analyze inventory, monitor logistics performance, build dashboards, track KPIs, forecast trends, and present insights that improve business results.

That is exactly what we will focus on in the Supply Chain Analytics Bootcamp Cohort 2.

Over five weeks, you will learn practical skills you can apply immediately.

You will work on real supply chain datasets.

You will build interactive dashboards in Excel.

You will analyze inventory and logistics performance.

You will create KPI reports that support business decisions.

You will learn how AI can make data analysis faster and more efficient.

You will also complete real world projects that strengthen your portfolio and give you experience you can confidently talk about during interviews or client meetings.

Bonus for Bootcamp Students

Every student who enrolls in the Supply Chain Analytics Bootcamp Cohort 2 gets the ₦10,000 LinkedIn Funnel Kit at no additional cost.

This kit will help you position yourself on LinkedIn, attract the right audience, generate quality leads, and build a professional profile that supports your career or business growth.

If your goal is to become a stronger Supply Chain Analyst, improve your Excel skills, learn Supply Chain Analytics, master Dashboard Development, understand Inventory Analysis, improve Logistics Analytics, and use AI for Data Analysis, this bootcamp was designed for you.

The countdown has started.

Bootcamp begins Friday, 24th July.

Seats are limited, and registration closes once all available spots are filled.

I look forward to welcoming you into Cohort 2.

[Thelma Etuk @officialladi_T]

If you need a portfolio website but don’t want to code it from scratch, watch this.

A quick step-by-step on how to build one using Lovable and Claude AI. 👇

(Video credit: @DabereNnamani )

[Victor Ugwu | Excel Automation for Logistics @_VictorUgwu]

Most people don't struggle with Excel because it's hard.

They struggle because nobody ever taught them how to think with data.

Every week, I watch people burn hours cleaning the same messy spreadsheet, hunting for formulas on YouTube, patching broken reports, and manually refreshing dashboards.

The worst part? They do it again next Monday.

Not because they have to. Because they don't know a better way exists.

That's exactly why I built the Data Analysis AI Operating System.

It's not another course. It's not another prompt pack.

It's a complete workspace built to help you move faster inside Excel and Google Sheets.

Messy data to clean? Formulas you don't understand? PivotTables to build? A dashboard that needs to just work?

Sales, inventory, logistics, finance, HR, customer data — doesn't matter.

Instead of ten browser tabs, a YouTube rabbit hole, and three different AI tools giving you three different answers, you get one system that walks you through it.

Whether you're learning analytics, working as an analyst, or automating reports for clients, the goal doesn't change:

Spend less time figuring it out. Spend more time doing work you're actually proud of.

The people who grow fastest aren't the smartest ones in the room.

They're the ones with better systems.

And a good system saves you time every single day.

Good morning guys !!!

[Rizz~Branson🩵 🌜 @Ade44yinka]

When it’s my turn, even basket will hold water for me 💯

[Victor Ugwu | Excel Automation for Logistics @_VictorUgwu]

Skills Are No Longer Enough

Over the past few days, I asked members of my Supply Chain Analytics Bootcamp community and waitlist a simple question:

"What's stopping you from getting more opportunities as a data analyst?"

The responses were revealing.

Some said they don't know how to optimize their LinkedIn profile.

Others admitted they don't know what to post.

A few simply said they don't know where to start.

Not a single response was about learning another Excel formula or building another dashboard.

That told me something important.

The problem isn't always a lack of technical skills.

It's a lack of visibility.

You can build amazing dashboards, automate reports, and analyze business data brilliantly. But if no recruiter, hiring manager, or client ever sees your work, your skills remain hidden.

Today's data industry rewards those who can demonstrate value, not just possess it.

That's why technical training alone isn't enough anymore.

You also need a system that helps people discover your work, trust your expertise, and remember your name.

[Victor Ugwu | Excel Automation for Logistics @_VictorUgwu]

Ever wondered how Amazon delivers in one day, why Jumia sometimes takes a week in Nigeria, and how Temu still ships to your doorstep from the other side of the world?

It is not magic. It is supply chain management done right, or done differently, depending on where you sit.

Let me break it down the way I explain it to my students.

Amazon built its entire empire around one thing: fulfillment speed. They spent years and billions of dollars placing fulfillment centers close to where people actually live. That is the secret. When your warehouse management system knows exactly where every item sits, and your fulfillment center is a few miles from the customer, one day delivery stops being impressive and starts being normal. Add in accurate demand forecasting, so they already know what you are likely to buy before you click order, and you get a system that feels like it read your mind.

Jumia operates in a completely different reality. Nigeria does not have the road network, the address system, or the warehouse density that the US has. Last mile delivery here means riders navigating traffic in Lagos, locating houses with no proper street numbers, and sometimes waiting for enough orders in one area before a delivery route makes financial sense. This is not Jumia failing. This is logistics responding to infrastructure. You cannot out execute bad roads and unreliable addresses with better software alone, though better inventory management and route planning absolutely help.

Then there is Temu, shipping products from factories in China straight to individual customers across the world. This works because of a completely different model built around cross border logistics, consolidated freight, and customs clearance systems that move in bulk. It is slower on paper, but the entire supply chain is optimized for cost, not speed. You are not paying for a warehouse near you. You are paying for a direct line to the factory floor.

Three companies. Three supply chain strategies. All correct, because they are solving different problems for different customers in different markets.

This is the part most people miss. Supply chain analytics is not just about moving boxes. It is about designing a system that matches the reality of your customers, your infrastructure, and your cost structure. The same logic applies whether you run a small ecommerce store in Lagos or manage inventory for a distribution company handling thousands of SKUs.

If you work in logistics, ecommerce, procurement, or operations and you want to actually understand how to read this kind of data, build dashboards that tell the real story, and make decisions like the ones these companies make daily, that is exactly what we teach inside the DataChain Analytics Supply Chain Bootcamp. Cohort 2 is currently open.

Drop a comment or send a message if you want the link to join.

Turning Data into Clarity. Clarity into Impact.

[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

[Àgbàakin of Europe🇳🇬 🇪🇺 @powerfulbadeeu]

Funfact; Amazon supply chain is one of the top 4 in the world.
Together with P&G. Unilever. Apple.

Then there’s the top 25 Supply chain companies in the World, the aforementioned 4 ain’t rated because they’re clearly above others.

NB- I used to work with P&G as a supply chain professional, and currently works with one of the top 25 at the moment, basically, I’ve worked with the best Supply chain companies all my life.

[Victor Ugwu | Excel Automation for Logistics @_VictorUgwu]

Most people selling a course say "learn Excel and AI for supply chain." That tells nobody why they should care enough to pay.

Here is what the Excel and AI for Supply Chain Analytics Bootcamp actually is.
You are probably staring at inventory reports that take hours to build and are already outdated by the time your boss sees them. You are guessing at reorder points instead of calculating them. You know AI tools exist but you have no idea how they actually fit into a supply chain job, not just a chatbot demo.

This bootcamp is built to fix exactly that. Over the seven weeks, you walk away with real tools sitting on your laptop, not just notes. A working reorder point tracker. A forecasting model you built yourself and understand completely. A dashboard you can show in an interview or bring straight into your current job on Monday morning.

By the end, you are not someone who "took a course." You are someone who can open Excel and Power BI and actually solve an inventory or logistics problem in front of an employer or a client.

Cohort 2 starts July 24, 2026. Only 18 seats available out of 25, and early bird pricing is ₦50,000 or $50, which will not last once the seats fill.

If you have been putting off learning this because you were not sure it would actually change anything for you, this is the cohort built for exactly that doubt.

Come build something real, not just watch another

[Rizz~Branson🩵 🌜 @Ade44yinka]

@ElixadeKare Okay, thank you 😊

[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

[Oreoluwa Bukola, CFA. @BukkyOA]

This week,

Update your CV
Apply to at least 20 opportunities
Aim to chat to someone new
Organise a coffee chat with a mentor
Do 1 full course
Read a chapter of a book per day

Did you even get my newsletter today?

[Rajat Jain - Data Analyst @rajatjain1107]

@Ade44yinka Proof of work > degree in 2026

[Rizz~Branson🩵 🌜 @Ade44yinka]

@rajatjain1107 No degree

[Àgbàakin of Europe🇳🇬 🇪🇺 @powerfulbadeeu]

I’m so gassed up and excited with the profile of our speakers for our supply chain twitter space tonight: Their experience cover key aspect of supply chain

1- Demand planning
2 - Supply planning
3 - Material planning
4- New Product Introduction
5- Distribution Requirement Planning
And so on……

*Two of the speakers are Supply chain Managers in Europe
*Two are supply chain managers in Canada
*One is a supply chain Director in Europe
*One is a supply chain manager in Europe.

Funfact; I’m the least experienced amongst our Speakers, so when I said I’ll be bringing my Senior Colleagues, I mean it.

Check my TL, set your reminders, see you all 8pm.

[Rizz~Branson🩵 🌜 @Ade44yinka]

@powerfulbadeeu Okay sir