Cost Archives - Page 6 of 11

SaaS for component pricing: Q&A with Lytica chairman Ken Bradley

How much should one pay for a chip or a component? Lytica, a Canadian supply-chain pricing analytics company, has the answer. Founded by former Nortel chief procurement officer Ken Bradley, who, like many others in the IT industry, was once bemused by component pricing, Lytica is transforming itself into a software-as-a-service (SaaS) company, helping OEM […]

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SupplyLens™ Pro & 2021

2020 brought Lytica a lot of change in our offerings as we transitioned our legacy products into our new SupplyLens™ Pro SaaS platform. The SupplyLens™ Pro platform delivers 24/7 access to our unique electronic component market intelligence through our first two plug-ins; Spend Benchmarking and Price Estimator. SupplyLens™ Pro draws on the world’s largest and

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SupplyLens™ Pro – 3 FAQs

With the evolution of Lytica’s products from our legacy tools to the establishment of SupplyLensTM Pro, we continue to see similar technology questions from new and existing customers. In this blog, we’re sharing three common FAQs the Customer Success department sees. How does volume affect Lytica’s Target Pricing methodology? Bradley’s Law is fundamental to the

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Covid-19 & Risk

It seems like it never ends. MLCC and other component shortages from automotive market expansion in 2018, tariffs driving sourcing changes in 2019 and now, in 2020, Coronavirus taking us into completely uncharted waters. Despite some interesting environmental new (for some interesting NO2 pollution photos from the crisis, see https://www.visualcapitalist.com/coronavirus-lockdowns-emissions/), it’s not good at best

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Towards “20/20 vision” in 2020

It’s hard to believe, but already the third decade of this century is around the corner. This certitude had me reflecting this week as I commuted to the optometrist. Most adults have an annual ritual of going to an optometrist for an eye exam. They emerge with a prescription for new lenses or, in some

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Shortage Mitigation Revisited

How Lytica became a unique analytics company: Part 22 I have been thinking about shortages again and how one might improve their supply situation in these difficult times. In July, I posted a blog to scmroundtable.com titled “Shortages: Three Extreme Mitigation Approaches” where I suggested things that are somewhat “outside-the-box” for normal sourcing but not

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Ken, your engine is revving a lot of RPMs!

How Lytica became a unique analytics company: Part 20 This blog’s title is an email quote from a customer trying the extreme shortages mitigation approaches outlined in my last blog. He was surprised by the number of alternatives we tabled for him. This individual is one of the best supply chain professionals I know. He

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Shortages: Three Extreme Mitigation Approaches

How Lytica became a unique analytics company: Part 19 The introduction of semi-autonomous vehicle demand coupled with the already growing smart phone requirements for passive components – particularly MLCC capacitors – has created significant shortage problems for EMS and OEM companies in the last year. This has caused a surge in prices for those lucky

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Characterization and Prediction using SPC

How Lytica became a unique analytics company: Part 14 Characterization and prediction are two of the things we are working on in our Advanced Technology Center (ATC). When you look at what all of our effort in AI technology and data science deliver, it is really the ability to characterize your supply chain performance against

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The Genesis of “Bradley’s Law”

A company should expect to pay for a specific electronic device – a price commensurate with their Competitiveness within that particular commodity. This Competitiveness is the measure of how the supply chain sees that company. Ken Bradley, Founder & CTO Lytica Inc. When Ken Bradley founded Lytica in 2005 as a consultancy practice, his primary

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Cost

SupplyLens™ Pro – 3 FAQs

Covid-19 & Risk

Towards “20/20 vision” in 2020

Shortage Mitigation Revisited

Ken, your engine is revving a lot of RPMs!

Shortages: Three Extreme Mitigation Approaches

Characterization and Prediction using SPC

The Genesis of “Bradley’s Law”

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