Predictive analytics solutions for retailers

The FMCG sector is all about the customer. As such, it has become crucial to understand and identify patterns in customer choices. Unlock these insights to optimize the FMCG process flow—from the supply chain to replenishing shelves—and create a positive experience that makes it easy for shoppers to find and purchase the right product at the right time.

Our predictive analytics solutions can help you meet distribution and customer demand, create optimal product placements for better cross-selling and upselling, and boost revenue margins with targeted interactions.

FMCG analytics use cases

Solutions - FMCG Dashboard - Customer Analysis

SUPPLY CHAIN

DEMAND
FORECASTING

OPTIMIZE
INVENTORY LEVELS

STOCK-OUT
REDUCTION

PREVENTATIVE
MAINTENANCE

FINANCIAL

DISCOUNT
ANALYSIS

PRICING
OPTIMIZATION

CUSTOMER
PURCHASE FREQUENCY

SPEND
ANALYTICS

SALES AND MARKETING

CUSTOMER
ACQUISITION OPTIMIZATION

MARKET
BASKET ANALYSIS

OPTIMAL
CUSTOMER SUPPORT

CHURN
ANALYTICS

CUSTOMER BEHAVIOR

PERSONALIZED
PROMOTIONS

CUSTOMER
SENTIMENT ANALYSIS

LIFETIME VALUE
PREDICTION

RECOMMENDATION
ENGINES

FMCG solutions at a glance

ANALANCE SOLUTION :

Enable a cost-effective supply chain by leveraging predictive modeling for strategic forecasts and insights to meet distribution and customer demands. Anticipate product demand and make necessary changes in production and replenishment. Optimize driving routes and add manpower for better delivery management. Reduce unplanned equipment downtimes and engage in preventative maintenance for a higher ROI.

ANALANCE SOLUTION :

Dictate optimal product placements in-store and online. Conduct a market basket analysis to determine association rules between items and effectively segment products for better cross-selling. These item sets (e.g. coffee + milk) can improve buyers’ experience and influence purchasing decisions. Improve the effectiveness of promotions and create opportunities for up-selling to boost sales across all channels.

ANALANCE SOLUTION :

Provide insight into a customer’s buying pattern behavior to better personalize an interaction. Make sense of reviews, social media updates, and other communications touchpoints by conducting a customer sentiment analysis. Using text clustering and classification, identify patterns in customer behavior to develop strategic, timely marketing campaigns to better target loyal customers and avoid churn.

ANALANCE SOLUTION :

Identify high-value customers and disengaged customers through predictive analytics and clustering techniques. By identifying customer segments, retailers can focus on customers that are likely to drive growth and profits. Similarly, this would allow them to build campaigns for disengaged customers in order to sustain their interest and encourage purchases.

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Why enable predictive analytics for all?

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.

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