IBM Emptoris

Emptoris Sourcing is an IBM software that simplifies complex sourcing decisions and events, helping to optimize value and reduce costs. It helps to optimize allocations in the direct and indirect spend categories by factoring cost, risk and performance into sourcing decisions.

Users can improve value as well as price from their supply base and automate virtually all sourcing events from reverse auctions and RFxs to complex multi-stage negotiations. Also, they can provide both broad and granular visibility into corporate sourcing data and improve their supplier collaboration relationships, reducing costs, and sparking innovation. With it, users can identify sustainable savings. This cost reduction aspect can be applied across complex spend categories using advances sourcing capabilities. Users can transition quickly from addressing simpler spend categories to managing more complex spend categories. Also, users are able to mitigate risks and improve compliance.

Buyers also experience less risk, as they can source faster sompleting negotiations in less time with fewer resources. Emptoris Sourcing gives greater visibility and transparency throughout the sourcing process. It reduces risk exposure by evaluating items throughout the entire process, and allocates more spending to prefer suppliers. Moreover, it optimizes productivity and saves time.

It lets users upgrade their process through shorter cycle times and better spending controls. It streamlines, defines and automates sourcing procedures and frees up resources to run more events. With Emptoris Sourcing, the procurement landscape and sourcing become dynamic. Users can improve their sourcing strategies and relationships with suppliers by taking the data crunching out of sourcing decision-making.

The process becomes automated, by building multi-line proposals and quotes with flexible forms, templates, wizards and consistent workflows. This also allows gathering and comparing the supplier bid data. Emptoris Sourcing is fantastic in allowing more flexible awarding. Users can create more accurate and optimal award scenarios with advanced modelling options. This can be done incrementally or with re-run scenarios at a later date. Users can give feedback to suppliers, allowing them to offer innovative solutions and optimize their bids.

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