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Artificial Intelligence Tools That Can Benefit Your Small Business Today

WorkWave

For example, AI in pest control allows organizations to optimize chemical distribution routes, automate marketing, and deploy drones to eliminate pests in hard-to-reach places. Learn more about the best AI tools for small businesses below. AI-based Graphic Design Tools. Automated Customer Communications.

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How to Improve your Manufacturing Processes with Business Intelligence

SYSPRO Smarter ERP

By streamlining and accelerating data collection and analysis, you get the insights you need for effective decision-making. There’s no need for IT staff to export data out of one system, clean it, import it into another reporting tool and make it presentable to answer C-Suite’s inquiries. Automatically refresh your data.

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Active Supply Chain Design: A Key Imperative for De Risking Supply Chains

Logistics Viewpoints

The bullwhip effect is one example of this disruptive effect, when small changes in demand cause huge demand spikes downstream. Table 1 describes a few examples of these types of risks. Examples of disruptive risks are suppliers going out of business or shipwrecks that result in the loss of cargo containers.

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How Can Supply Chain Leaders Use Big Data as a Tool to Continuously Improve?

GlobalTranz

Each of these elements more traditionally handles by outsourcing analysis of processes to supply chain consultant. As explained in a previous blog post, continuous improvement in an organization can be achieved through the use of performance measurement tools via big data. Transportation modes used in procurement and shipping.

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Top 5 Barriers to Supply Chain Network Design Adoption and How to Overcome Them

Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS

When you finally have the analysis, everything has changed, and it is no longer relevant. This on-demand webinar shares research findings from Supply Chain Insights, including the top 5 obstacles that bog you down when trying to improve your network design efforts: Poor data quality. Lack of skilled resources.

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Using Predictive Analytics For Better Supply Chain Resilience

Blue Grace Logistics

Approaching a demand analysis with historical data and seasonal variations is no longer competent. Brand identity, interactive marketing campaigns and differential lifestyles complicate a perfect trend analysis model. Combining regular data analysis with human touch and giving context to these results will create meaningful decisions.

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3 Compelling Reasons to Start Using Prescriptive Analytics

AIMMS

If you’ve read up on the latest topics in the field of data analysis, then you’ve probably encountered the term Prescriptive Analytics. Let’s take an example from one of our clients in manufacturing. Off the shelf scheduling tools, pricing optimization tools, and production planning tools tend to work well for many businesses.