According to Gartner, 97% companies use year-on-year savings to define procurement’s value.

Augmented sourcing decisions can, in our experience, shave 3-5% off your raw material spend, year over year. Nothing magic or even surprising here - we are just injecting more data and technology into a well-honed process.

What is really unique about Datapred’s purchase order suggestions is their being continuously fed back (together with your actual decisions) to our predictive and optimization engines. Closing this feedback loop ensures that your buying decisions are not only optimal individually, but also sequentially, over time.

That is the key difference between successful bets and robust efficiency gains.

Sustainability has become a critical part of corporate strategies, especially in material-intensive industries: Sustainable Brands found that "during the past 5 years, the percentage of the world’s 200 largest companies with public, specific sustainability targets has risen from 77 to 94%".

But for procurement teams, sustainability targets can generate painful headaches:

• In process industries, what if the raw material mix that minimizes cost, differs from the mix that maximizes yield, and from the mix that minimizes emissions?
• In discrete industries, how should you balance orders between suppliers that compete on sustainability rating, in addition to price, quality, delivery delay and payment terms?

With Datapred, these are just additional parameters of the sourcing optimization equation. Define your preferences in Datapred's optimization engine, and receive purchase order suggestions ensuring compliance with company objectives.