Predictive analytics for the logistics and supply chain industry

Supply chains have always been driven by statistics and quantifiable performance indicators. However, supply chain management is quite sensitive to major setbacks from weather conditions or equipment issues. Real-time and predictive analytics provide opportunities to manage supply chains proactively. ML algorithms can train the stock management system to predict when restocking is required to optimize production batches and eliminate inefficiencies. With predictive analytics, bridge the gaps in synchronizing planning and execution, get improved data visibility across your business spectrum, discover factors leading to stockouts or excess inventory, identify inflexible networks and distributors, and lower risks of introducing new elements into your supply chain processes.

Logistics and supply chain analytics use cases

Solutions - Logistic and Supply Chain Dashboard - Chain Clustering

INVENTORY OPTIMIZATION

OPTIMIZE
INVENTORY LEVELS

FORECAST PRODUCT
AND MATERIAL DEMAND

REDUCE OCCURENCE
OF STOCK-OUTS

PREDICT AND MANAGE
EXCESS STOCK

COST REDUCTION

OPTIMIZE PRODUCT
AND SOURCING

MAP PROFIT
POOLS

ASSESS IMPACT
OF COMMODITY PRICES

IDENTIFY CUSTOMER
PROFITABILITY

CONTINUOUS IMPROVEMENT

REFINE
PRODUCTION QUALITY

IDENTIFY
OPTIMAL VENDORS

IMPLEMENT
INTELLIGENT PRICING

STREAMLINE
LOGISTICS OPERATIONS

CUSTOMER MANAGEMENT

ENHANCE
CUSTOMER SERVICE

MONITOR
CUSTOMER FEEDBACK

OPTIMIZE
CUSTOMER ACQUISITION

IMPROVE
CUSTOMER RETENTION

Logistics and supply chain solutions at a glance

ANALANCE SOLUTION :

Analyze the variability in past demand patterns and forecast future demands to improve service levels and SKU profitability. Gain control over inventory by determining the right safety stock levels. Reduce the occurrence of having excess stock, stock-outs, and supply shortfalls. Improve working capital, lead time, and order fulfilment for increased customer satisfaction.

ANALANCE SOLUTION :

Get visibility and track product movement from source to consumer. Through sensors and predictive analytics, get real-time visibility of product location and destination. Improve process integrity to boost cost-efficiency and lower response time. Trace product origin and condition to mitigate risks by proactively identifying defects, compliance issues, and product recalls.

ANALANCE SOLUTION :

Anticipate future delivery and shipping patterns to effectively plan transport routes, manage manpower, and ensure right inventory levels. With real-time data from embedded sensors, optimize inbound and outbound flow of goods. Better meet delivery demands and schedules while reducing cost to serve customers, streamlining operations, and improving ROI.

ANALANCE SOLUTION :

Identify optimal vendors to measure performance, improve efficiency, and reduce total landed cost. Use clustering methods and predictive analytics to comb through various dimensions such as supplier commitments and lead time. Conduct a what-if cost modeling and identify the ideal supply methods, shipping carriers, and which products to make or buy.

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What do supply chain leaders think about advanced analytics?

100%

100% aligned on the increased importance of deploying advanced analytics to drive decision making.

57%

57% consider advanced analytics to be of critical importance in tracking and analyzing product traceability.

94%

94% says that digital transformation will fundamentally change supply chains.

66%

66% say that advanced analytics are critically important to their operations in the next 2 to 3 years.

How predictive analytics solutions help logistics and supply chain

0%
INCREASE

in the improvement in supply chain efficiency

0%
IMPROVEMENT

in order-to-cycle delivery times

0%
INCREASE

in reaction time to relevant issues in the supply chain

Improve Efficiency

Improve Efficiency
Fine-tune inventory management, manage stock levels effectively, and streamline operations across the supply chain.

Better Decisions

Better Decisions
Make informed decisions, with real-time insights, to help companies maximize profits and realize operational goals.

Gain Visibility

Gain Visibility
A 360-degree view of the customers, vendors, and employees helps companies easily identify critical areas to focus efforts.

More Agile

More Agile
Deal with problems that might arise in the midst of economic, regulatory, and technological changes proactively and strategically.

Why enable predictive analytics?

ADVANCED AND AGNOSTIC

Optimize decision-making and business processes with one analytics platform that scales from BI to Advanced Analytics. Reduce costs and the security risks of having multiple solutions.

PREDICTIVE AND ACTIONABLE

Out-of-the-box ML algorithms make it easy to explore data. Get visibility into future outcomes and extract valuable recommendations to inform business strategies.

AUTOMATED AND EASY

A simplified UI allows citizen data scientists to model and visualize data effortlessly. Discover patterns and find opportunities in your data using smart tools with built-in ML capabilities.

ENABLES AND EMPOWERS

Change how executives, analytics leaders, business users, and data scientists work with data. Reduce long hours and repetitive work that’s prone to error.

Analance empowers organizations with data analytics for better storytelling and predictive insights that help scale business outcomes.