Blue Yonder Warehouse Management vs. IBM Planning Analytics vs. Logility

The size and scope of the operation is the main question. In a smaller environment, or one that does not require a complex Warehouse Management Solution (WMS), RedPrairie may not be a good fit.

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Ideal for large organization with complex multi-dimensional data, large budgets and dedicated administrator support. The performance of the TM1 data base is unmatched. The PAW and PAX options providing planners to work in both Excel and workspace environment. Higher Implementation efforts due to the greenfield implementations. Visualization features are not up to the mark.

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How well the system is going to match with the company's business.

• Cycle counting--great feature for inventory accuracy.
• System directed put-away--system directs driver where to store and put materials away, keeps a warehouse in tip-top shape.
• CNZ-Count near Zero, actually set at count at zero, when a bayrow emtys out, prompts fork driver to verify that the bayrow is actually empty by doing a cycle count....great for inventory accuracy!

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• Handle very large data volumes.
• Scale to a large number of users.
• Not having to compromise on business complexity.
• It can be run by business users.
• Availability of highly qualified consultants to support businesses.
• REST API allows for an open eco system and a variety of solutions to extend the product.
• Vast integration possibilities.
• AI-infused engine with IBM Watson.

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• Can go down to the very detailed level to manage forecast.
• Easy to maintain and control .
• User friendly.

• Their implementation team was unable to provide examples where they successfully executed large scale multi site global deployments. May require strong client team or 3rd party implementation firm to ensure successful deployment and results.
• As of 3 years ago, their parcel shipping module was very new and unproven in marketplace.
• As of 3 years ago, Red Prairie had limited offering in modules that complement the WMS such as trading partner management and distributed order management. If you truly just need warehouse management capabilities this might not matter. For us, this meant we would need to involve more solution providers or internal development to address supply chain initiatives.

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• sometimes it is hard to produce pixel perfect reports from the Web UI. I know it is not made for this, but still, it'll be great
• getting in e.g. an Excel file just by drag and drop, and the AI should "understand" what the data is all around

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• Product profile for different seasons without adding another module.
• Eliminate manual work.

Again, the product was good. Customer service was OK at best. For any new installations or upgrades, I would seek a third party servicer/installer who would be more flexible in contract negotiations and provide service guarantees beyond what could expected with RedPrairie itself. If you choose to deal with RedPrairie directly, prepare for a lengthy negotiation process.

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Since IBM Cognos Express is suitable only for medium data warehouse environment, we are not sure if this tool solves the long term need as the business keeps growing rapidly. So its a 50/50 ratio to renew Express license. But having said that, the components of IBM Cognos Express are also available in other Cognos BI suites like Cognos 10.x version. So we will probably upgrade our environment to IBM Cognos 10.x which comes with more new features.

Need more time to prove that the system really helps the company.

I found RedPraire to be the best system I have used of the years.

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IBM Planning Analytics is generally good in terms of functionalities. It can be used reduce time for budget planning, resource planning, demand forecasting, etc. The performance of IBM Planning Analytics is acceptable, but user interface can be improved. It would be good to see new features that allow users to customise the dashboard.

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IBM support has been very quick to respond and handle the very few issues we've had. We've had a third-party who partners with IBM to be our consulting team which has helped greatly reduce the need for us to contact IBM directly. I highly recommend researching and selecting a well-respected partner to help with an implementation as well as ongoing support as needed.

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RedPrarie seems to have been better than Aloha. I will say that I used Aloha a very long time ago and it is probably light years ahead now. Aloha seemed to be a little more flexible in what you could do. The major downfall was you had a system that needed to be connected to the POS network directly on site that would be used only for reporting. This would require you to have another PC for computing needs. Like I said before, this is probably something that has changed in the newer world of Aloha.

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For strong technical teams and flexibility IBM Planning Analytics is the way to go. For quicker adoption and less technical teams Anaplan is the best option. If consolidation, financials, and moving from legacy tools are main focus than OneStream will be a really good choice. If deeply invested into SAP already than the SAP BPC will be the best fit to maintain the investment.

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I didn't make the decision to select Logility.

it's built for large enterprise rollouts to many users, with on-premises, cloud and hybrid options. The query service is mature and uses caching, and governance and security hold up at scale.

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• Warehousing errors were reduced by almost 12% with Blue Yonder Luminate Logistics.
• Order processing was done at more than 7% of the average TAT with the use of this service.
• End-user & ops team had higher productivity by almost 15% after integrating the service in day-to-day activities.

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• Automate direct data connections to multiple data sources
• One secured version of the the truth (for data and formulas)
• Ability to scale to much more detailed planning with option to create predictive forecasts at detail
• Business user friendly with powerful Excel integration
• Very flexible and powerful modeling, can handle custom modeling needs at scale
• Can make the same data available across finance and ops, but at the level of details and timeline that makes sense for them

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• Improved inventory control.
• Save time by reducing the manual work.