May 19, 2020

Procuring fast answers on everything from steel tariffs to the Coronavirus

AI
Procurement
covid-19
Johannes Ritter, Director, Bus...
4 min
Procuring fast answers on everything from steel tariffs to the Coronavirus

Johannes Ritter, Director, Business Value Consulting EMEA, ThoughtSpot, looks at the current status of procurement in these uncertain times. 

Whether it’s about something as routine as supplier costs for a specific component or assessing Coronavirus risk exposure in an extended supply chain, procurement needs answers - and fast. In everything from negotiations to crises, time is of the essence. The sooner you are armed with reliable facts, the more attractive (and profitable) options are available to you.

However getting answers to even the simplest questions often takes several days, sometimes weeks. By the time a data analyst produces a static report, the answers in it are often out of date or need more clarification. Since the reports aren’t showing live, native data, there’s no way procurement can use them to scenario plan and make optimal decisions. 

The slow pace of data sourcing is baffling to business people who rely on procurement. Surely ‘the system’ should be able to easily cough up basic information? But for most companies, especially large enterprises, this isn’t the case. Supplier contracts and their data are often inherited through mergers and acquisitions and never get integrated properly. Information is stored in multiple, often incompatible systems, in different structures with inconsistent labels. People come and go. Systems come and go. All of which makes getting simple data answers very difficult and slow. 

Ironically it’s the stealth fragmentation of systems and data that lead to the waste, inefficiency and excess costs that procurement people are paid to investigate. And it’s these problems that make it so hard for those same people to track down answers and negotiate better deals. Most companies employ only a small team of data analysts with the specialist skills to extract, aggregate and build reports on this information for a huge number of people across the whole business, not just procurement.

This problem gets exponentially worse when data questions are complex, or lead to more questions: “Are we utilising our logistics assets appropriately? What is the current and historical time and capacity utilisation for every vessel, aircraft, truck, and railcar? What are the trends? Are all of those assets available when we need them per the contract?” This example came from a real list of 55 questions that a large oil company’s procurement operation struggles to answer.

Changing the game with AI and search 

Now let’s go to a happier place: what if you could type any procurement question - or series of questions - into a search engine like Google, using natural language, and get answers instantly - even in the midst of a critical negotiation? 

Sounds futuristic, but this is exactly where technology is heading to make procurement more effective. Another large, conservative oil industry company that operates in more than 120 countries, is benefiting from these technologies today. After several mergers and acquisitions, the company was running 20 ERP systems and had massive data volumes with more than 220 million records. This scale and complexity made it impossible for procurement to gain insights fast enough to make optimal, profitable decisions.

Today 250 procurement people in 38 countries are using search and AI-driven analytics to get answers to a staggering 20,000 ad hoc questions every month. That’s an average of 80 questions per person, per month - a volume that previously would have seemed completely unthinkable. 

The system is providing insights in countless ways, for example, it can now identify bottlenecks that led to capacity problems during the ramp-up in oil production at the beginning of 2019. It can detect problems at plants or site locations that weren’t previously visible so that manufacturing processes can be optimised and the right amount of stock is manufactured. The system also exposes the impact of external market factors, like Trump’s trade tariffs. These affected oil production costs because steel is used to develop pipe, valves and fittings.

The time the system saves is equivalent to eleven full-time employees. This frees up procurement capacity to focus on more difficult and high-stakes projects like mitigating supply chain risk associated with the Coronavirus - a crisis that affects supply and demand. The International Energy Agency’s (IEA) recently cut its growth forecast for oil to the lowest levels since 2011. This means procurement and supply chain operations must plan collaboratively, using reliable, timely information to make the best decisions for the company.

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While search provides easy user experience and fast answers, AI flags those all-important trends and outliers. AI’s ability to trawl through vast datasets and spot patterns in vast stores of historical sales data, for example, makes it possible to improve forecast accuracy and reduce wasteful spend on products that could become obsolete. AI’s ability to spot outliers can pinpoint the regions where, for example, demand has reduced significantly.

Whether it’s routine procurement questions, trade tariffs or the Coronavirus, companies today have to respond quickly and optimally to whatever comes their way. Fortunately, AI and search technologies are finally providing the fast answers procurement needs.

For more information on business topics in Africa, please take a look at the latest edition of Business Chief Africa.

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Jun 14, 2021

5 minutes with... Janthana Kaenprakhamroy, CEO, Tapoly

Tapoly
Insurance
Leadership
Digital
Kate Birch
3 min
Heading up Europe’s first on-demand insurance platform for the gig economy, Janthana Kaenprakhamroy is winning awards and leading with diversity

Founder and CEO of award-winning insurtech firm Tapoly, Janthana Kaenprakhamroy heads up Europe’s first on-demand insurance platform for the gig economy, winning industry awards, innovating in the digital insurance space, and leading with inclusivity.

Here, Business Chief talks to Janthana about her leadership style and skills. 

What do you do, in a nutshell?

I’m founder and CEO of Tapoly, a digital MGA providing a full stack of commercial lines insurance specifically for SMEs and freelancers, as well as a SaaS solution to connect insurers with their distribution partners. We build bespoke, end-to-end platforms encompassing the whole customer journey, but can also integrate our APIs within existing systems. We were proud to win Insurance Provider of the Year at the British Small Business Awards 2018 and receive silver in the Insurtech category at the Efma & Accenture Innovation in Insurance Awards 2019.

How would you describe your leadership style?

I try to be as inclusive a leader as possible. I’m committed to creating space for everyone to shine. Many of the roles at Tapoly are performed by women and I speak at industry events to encourage more people to get involved in insurance/insurtech. Similarly, I always try to maintain a growth mindset. I think it’s important to retain values to support learning and development, like reliability, working hard and punctuality.

What’s the best leadership advice you’ve received?

Build your network and seek advice. As a leader, you need smart people around you to help you grow your business. It’s not about personally being the best, but being able to find resources and get help where needed.

How do you see leadership changing in a COVID world?

I think the pandemic has proven the importance of inclusive leadership so that everyone feels supported and valued. It’s also shown the importance of being flexible as a leader. We’ve had to remain adaptable to continue delivering high levels of customer service. This flexibility has also been important when supporting employees as everyone has had individual pressures to deal with during this time. Leaders should continue to embed this flexibility within their organisations moving forward.

They say ‘from every crisis comes opportunity’, what opportunities do you see?

The past year has been challenging, but it has also proven the importance of digital transformation in insurance. When working from home was required, it was much harder for insurers to adjust who had not embedded technology within their operating processes because they did not have data stored in the cloud and it caused communication delays with concerned customers at a time when this communication should have been a priority, which ultimately impacts the level of customer satisfaction. This demonstrates the importance of what we are trying to achieve at Tapoly in driving digitalisation in insurance and making communication between insurers and distribution partners seamless. 

What advice would you give to your younger self just starting out in the industry?

Start sooner, don’t be afraid to take (calculated) risks and make sure you raise enough money to get you through the initial seed stage.

 

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