Transform your retail business with
big data analytics

Optimize large volumes of enterprise data using
business analytics

The ever-changing face of the retail industry has impacted businesses all over the globe. Until recently, growing retailers struggled to keep track of their sales and expend inventory volumes. As they embraced an integrated IT architecture connecting stores to warehouses, home offices and vendors, the main challenge, ironically, was not a lack of data but an explosion of it. Retailers found it difficult to handle the burgeoning volumes of data and more importantly, extracting relevant insights. With the advent of analytics, backed by robust data management techniques, it is now possible to harness big data to make better plans and decisions for the future.
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PredictiVu can lead the data transformation journey for your retail or consumer goods business to enhance user experience, sales and revenue

With PredictiVu’s Retail Analytics, businesses can access online dashboards that display real-time data related to customer affinity profiling, share of wallet metrics, and market shares. With PredictiVu, you can leverage customer behaviour data to generate behavioural insights. Retailers can now predict the future buying behaviour of customers and suggest products based on location. PredictiVu’s Retail inventory management helps retailers keep track of inventory and SKUs in real-time.

Retail service offerings

Using AI enabled architecture, marketers observe the behavioural patterns of customers to predict actions by creating detailed customer profiles and predict what offers to make.
AI driven product recommendations
Our sophisticated AI driven recommendation engine suggests the next purchase that the customer is likely to make based on the location and liking of the customer.
Pricing
merchandising
Marketers must have visibility on shopping patterns, shelf placement, attractive pricing, and product availability to maintain stability between profitability and product availability.
Demand prediction & SKU management
Marketers need to forecast the buying capacity of customers and manage the SKU’s to avoid stockout situations.
Marketing & sales analytics
Advanced analytics and AI allows marketers to understand customer touch points and optimise budgets.
Social listening
Marketers must analyse the strategy of brands that are surging in popularity to guage the shifting sentiment of customers.

Consumer goods

Price & promotion optimisation

The sales growth of CPG companies depends on optimisation algorithms that collect information from factors like control price and trade promotion strategies.

Media & trade spend optimisation

CPG companies focus on optimising their spend architecture for multiple brands to fuel growth and profit in a competitive market.

Assortment planning

CPG companies need to ramp up their sales and distribution strategy to analyse store level buying patterns of customers.

Use cases


Analysing User Sentiment With Machine Learning

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AWS For Retail Industry

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Customer Analytics for Retail

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Retail Business Intelligence Solutions

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Industry recognition & awards

  • Award 1

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  • Award 2

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  • Award 2

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  • Award 2

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