We realize that the AI? landscape is presently filled with lofty promises filled with dream crushing realities. For #supplychain companies that might make you recoil in fear. The reality is that Machine Learning Operations is the primary (only?) path to forecast automation success. As this fantastic illustration from Srini Pagidyala reveals, the real #AI with cognition and decision making impact is likely years away. At Vizen Analytics we can help show you the way today towards cash flow heaven. We see it as the right combination of timely accurate forecasting driven by Machine Learning + Causal Modeling, that automates the application of dynamic inventory allocation optimization (aligning your forecast to supply shortages and rapidly changing demand patterns). We're seeing inventory cost savings that exceed 20%! Think about the ROI generated from this perspective. https://lnkd.in/ggnYRpjt
Vizen Analytics
Software Development
Walla Walla, Washington 653 followers
Remove Supply Chain Friction, Maximize Cost Reduction
About us
As a fast-moving consumer goods company, it is vital to use the right supply chain planning tools to improve procurement to supplier lead times and to capture demand trends that may hamper your inventory management, affecting profitability and bottom line performance. Let Vizen's Empowered-AI® SaaS platform remove the guess work. Imagine the value of gaining visibility while mitigating risk management by extending the reliability of your forecast horizon, thus better balancing stock levels over time. In fact, we guarantee a 5X ROI in year one, realized via reduced inventory costs and increased sales. Consider this an opportunity to get closer to your customer by generating just-in-time fulfillment, while improving sustainability via lower emissions. Are you in a fast-moving consumer goods company? If yes, how are you addressing underperforming products that affect your inventory availability and service levels? Are you carrying higher safety stock as a buffer to account for delayed supplier deliveries? If these questions resonate, please be aware that the underlying root cause will likely continue to impact your business. Thankfully, Vizen can help resolve these challenges by applying the right external market intelligence to enable a more responsive demand forecast while also offering proactive lead time forecasting to know when to procure supply reorders. Eliminate the cost of excess buffer stock and improve the flow of business to your clients in the process. Vizen offers: * Demand Forecast * Production Planning * Supplier Sourcing
- Website
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https://vizenanalytics.com/
External link for Vizen Analytics
- Industry
- Software Development
- Company size
- 2-10 employees
- Headquarters
- Walla Walla, Washington
- Type
- Privately Held
- Founded
- 2020
- Specialties
- Predictive Analytics, Performance Management Solution, SaaS, Supply Chain, Sales & Marketing, Business Operations, Strategic Planning, Artificial Intelligence, Prescriptive Analytics, Deep Machine Learning, Business Intelligence, Financial Services, Business Services, Consumer Services, Demand Planning, Supply Chain Analytics, Demand Forecasting, Food & Beverage, Wholesale Distribution, Retail Grocery, Logistics, Automotive, and Supply Planning
Products
Empowered-AI
Demand Planning Software
Empowered-AI is an automated AI-forecasting platform that helps tier-1 automotive suppliers and food & beverage companies transform supply chain performance by more accurately predicting material lead times, labor productivity, inventory optimization and product demand. Empowered-AI™ balances dynamic market factors affecting SKU availability and future consumer buying trends. Our tailored SaaS solution incorporates external data sources via deep learning AI to evaluate relevant key market factors including weather, health, economic, and demographic info, etc. to recommend specific inventory purchasing strategies to reduce holding costs (goods, storage, expiry). predicting future consumer demand and optimizes inventory by reducing food waste (over-stock) and lost sales (under-stock). We guarantee at least a 10% improvement in 90 days or less. Our solution eliminates the need to hire data scientists, manage a complex cloud service, or continuously upgrade costly demand software.
Locations
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Primary
1644 Plaza Way
Suite 307
Walla Walla, Washington 99362, US
Employees at Vizen Analytics
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Marco Piraccini
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Pablo Cussatti
Chief Supply Chain Officer | Board Director
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Judy Chow
🔹 Product Management Executive 🔹 Results-Focused Leader 🔹 SaaS, Data, Platform, and AI Product Expertise 🔹 Board Advisor 🔹 Creates People-First,…
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Greg Foster
Causal-AI Delivers Results / CEO @ Vizen Analytics
Updates
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https://lnkd.in/gwznDaif When we say #AI, we mean robust, operational machine learning driven systems that are time tested with proven use cases. Don't get left behind using dated, inefficient ERP systems or other ineffective 3rd party software. Reach out to Vizen Analytics and we'll help you get it right. The impact of #AI on #supplychains is immeasurable. For starters, food and beverage companies are seeing strong results from predictive maintenance systems powered by machine learning. “For #manufacturers, that’s not a nice-to-have – it’s operational insurance,” said Dag Calafell, III, director of technology innovation at MCA Connect. “Every minute a machine is down means money lost – and if your factory can’t warn you before it fails, it already has.”
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Good afternoon, everyone. Posting this excellent article from freelance writer Kaila Johnson as she shares the value of applying causal-AI modeling in #demandplanning and #demandforecasting. Especially as it affects the sudden dynamic spikes of your favorite sales around the globe. "It can be difficult to predict when a product will get its well-deserved recognition after years of flying under the radar. #Matcha, a popular coffee alternative, has been on the rise due to health benefits and, more importantly, the aesthetic of a green drink on social media. According to The Business Research Company demand for this drink is predicted to rise at a significant rate nearly doubling in global sales by 2030." "#Supplychain companies need a more responsive method that can work in near real-time rather than after a trend may have already passed. The good news is that an advanced technology called #causalAI modeling can transform the way #manufacturers to retailers uncover and forecast sudden product #demand shifts in their marketplace." https://lnkd.in/g2hZF-BN
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When we think about #supplychain sales revenue growth and improved #demandforecast generators. Let's think closely about the causal ripples within a sector in this case #pizza. Have we hit peak #pizza? Or are we tired of the commercial options that we're given, versus say the quality and delight of that first bite of a local sweet basil bistro and the dine in dynamics? Have we marginalized the value of #pizza in relationship with all the other boring fast food options? "The irony is that there doesn’t seem to be anything wrong with Domino's’s itself. On the second quarter earnings call last week, CEO Russell Weiner noted that over the last ten years, Domino's’s has taken about a point of market share every single year. Figures from publicly-traded competitors seem to confirm that argument: in 2024, for instance, Domino’s US same-store sales rose 3.2%, while North American sales for Papa Johns’s dropped 4% and Pizza Hut was off 3%. The problem, instead, might be the pizza market itself. The Food Institute https://lnkd.in/e-KbRG7i
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It may be time to start stocking up on the chocolate. I know we will. Swiss chocolate giant Lindt & Sprüngli passed along a 15.8% price increase in the first half of the year. #Toblerone and #Milka manufacturer Mondelēz International also warned of similar action in 2025. Michele Buck, The Hershey Company’s CEO, said in August 2024 that the business has “absorbed a lot of inflation already, but we do believe we need to pass some of it on.” #Chocolate candy accounts for two-thirds of The Hershey Company’s sales, The The Wall Street Journal Journal noted, citing an April analysis by TD Cowen, while non chocolate candy accounts for about 12%. -Foodive https://lnkd.in/g8ei8dp4?
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Some outstanding research here and clearly a link to the causal factors that shape demand for retailers and food manufacturers. According to Nik Modi of RBC Capital Markets, for the past few quarters, #consumers by and large have been in a “spending recession.” He shared his insights on a recent episode of The Food Institute Podcast sponsored by City National Bank. “Think about why people are probably deciding to get frozen meals instead of going out to eat, because it’s too expensive, right? So again, another kind of proof point that the consumer is under pressure,” https://lnkd.in/gEHje244
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Compelling post from Alicja Spaulding on her concerns for the entire food industry sector and the lessons learned on the bankruptcy that has sadly transpired at Del Monte Foods. She gets underneath potential root cause factors and how to help other companies move in a better direction. Supply Chain inefficiency including forecast challenge liabilities and a general lack of connected dynamic inventory management systems, contribute significantly to their financial woes. It's time for a change. Adapt or risk the consequences. She says, that the root problem is existential: their core competency became their core liability. They’re not alone. Over the last 18 months, the food industry has experienced its most dramatic restructuring in decades: → $40B+ in M&A deals → 49% spike in bankruptcies → 30+ food companies filed with liabilities exceeding $4B combined https://lnkd.in/ge5mPptt
Marketing AI Professor | AI x Food x Marketing | Strategic Advisor & Consultant | Fractional CMO | Keynote Speaker
The Del Monte Foods bankruptcy is a warning for the food industry. Del Monte survived 140 years. Two world wars. The Great Depression. Countless recessions. But it couldn't survive changing grocery shopping habits. Think about it… for most of human history, the biggest food challenge was preservation. How do you keep fruit fresh when there's no refrigeration? How do you feed soldiers on long campaigns? How do you stock remote mining towns? Del Monte's answer: Put it in a can. Genius. For over a century, shelf stable was a competitive advantage. Now we think: canned = processed preservatives = unhealthy shelf-stable = why not just buy fresh? That same preservation technology is now the exact reason consumers reject them. We've moved from a world of food scarcity to food abundance. When food was scarce, preservation was valuable. When food is abundant, freshness becomes the premium. Del Monte’s $125M interest expense and rising steel tariffs are just the financial symptoms. The root problem is existential: their core competency became their core liability. They’re not alone. Over the last 18 months, the food industry has experienced its most dramatic restructuring in decades: → $40B+ in M&A deals → 49% spike in bankruptcies → 30+ food companies filed with liabilities exceeding $4B combined Mars dropped $35.9B to buy Kellanova. PepsiCo is spending billions too to scoop up better for you brands. Many legacy players are quietly restructuring or going away altogether. The companies that survive market shifts don't just adapt their products…they completely reimagine what problem they're solving. So I keeping asking myself…What strength in the food industry might actually be tomorrow's weakness? Because if a 140 year track record can vanish that fast...what is truly safe?
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This thought provoking piece from Rod Boothby on the value of implementing casual inference based systems into your #supplychain. Vizen Analytics provides just such a solution to enhance forecasting and improve problem solving! https://lnkd.in/gWYe7BXE
Senior technology executive and multi-time founder. Scaled products to 20M+ users, generated $150M+ in revenue, and secured $125M+ in VC funding. Expertise in FinTech, digital identity, AI, and developer ecosystems.
Would an LLM AI like Gemini or ChatGPT be able to come up with a truly new theory about ... well about anything? Not yet. And, here's why. Artificial General Intelligence needs many more pieces beyond LLMs. - Symbolic AI and Logic Systems: For rigor, formal reasoning, and explainability. - Mathematical and Simulation Tools: For modeling complex systems and quantitative analysis. - Causal Inference Systems: To move from correlation to understanding cause and effect mechanisms. - Physical Systems (Robotics/Sensors): For empirical validation and real-world data acquisition. The physical systems are also needed for basic things like a sense of time. Trying getting ChatGPT to walk you through a 30 minute workout. It fails. Of all of those things above, the only area that has not yet received massive VC investment are Causal Inference (CI) Systems. AI Agents and Agentic AI solutions available so far are basically combinations of Logic and Physical Systems that wrap domain specific process around standard automation in combination with LLMs. They don't use fundamentally new math. Causality is so important because answering the question "Why?" and understanding cause & effect are critical to solving problems. Is Causality the last piece of the puzzle? Probably not. But it is an important one. Beyond that, intention, imagination, ambition, and the will to thrive still reside with humans.
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How do we predict and accurately forecast #demand in the ever changing consumer driven marketplace? Think snacks, drinks, ready to eat meals – the #CPG market in the U.S. has exploded with new options in recent years. With all the variety in products, how can businesses stand out from their competition? What could #food companies be doing better – and what are they getting right? And can big labels survive the new landscape? Hear insights on these topics from SmashBrand founder Kevin Smith in this episode of The Food Institute Spotlight! https://lnkd.in/gdzwNpaV
What’s The Biggest Mistake Food Companies Make?
https://www.youtube.com/
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Happy Saturday and on the first full day of summer. I realize that you may be getting pretty tired of constantly talking about #tariffs And who wouldn't. But the simple reality is that if we don't focus on ways to solve the heart of the issue, which is uncertainty, the problem is only going to worsen. Vizen Analyticsf empowered-AI platform features #causal-AI modeling which gets underneath basic historical correlations to validate root factors and applies the impact they have on forward demand, and supplier pricing. This great article from Forbes validates this principle. Isn't it time to find new and better ways to solve old tired problems? "#AI-powered analytics play a crucial role in helping organizations navigate this uncertainty. By delivering real-time risk assessments, AI provides decision-makers with data-driven insights needed to act decisively in volatile markets. These models can evaluate vast datasets—including trade histories, economic indicators and geopolitical signals—to forecast potential tariff shifts. This enables proactive strategy adjustments rather than reactive course corrections." https://lnkd.in/gZhTvrTa