Retail Analytics Solution

Supercharge AI and ML adoption in Retail Sector

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Solution Highlights

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Converting Transaction Data to Customer Insight

Increased digitization is enabling enterprises in collecting data from different customers interactions. To enhance business edge and for customer retention & delight; enterprises need carefully crafted analytics platform for converting transaction data into customer insight. Our Platform generates actionable insights to help enterprises analyze customer behavior & devise plan to serve their customers & vendors better.

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Accurate Forecasting for Optimising Business Operations

Increased competition & escalating costs of logistics have forced enterprises to look for ways to more accurate forecasting. This help enterprises run a tight ship & optimise business operations resulting in saving in operational expenses. Our Platform support forecasting to help in multiple use cases e.g. aligning production schedule, inventory stocks at warehouses, workforce planning & scheduling etc.

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Hyper Personalized Recommendation

Enterprises are looking for ways to create detailed profile of user to realign or customise their offering as per customer profile. Our Platform supports building recommendation engine with ability for continuous learning as per new customer interactions. This allows enterprises to know their customers and offer products that appeal to them.

Cloud-Native
Cloud Native Platform with Flexible Engagement Models

Platform is built as cloud native platform suitable for public, private of hybrid cloud infrastructure. Platform has built in capabilities for scalability, resilience & agility for quick response to customer feedbacks We offer flexible enagement models for different customer requirements ranging from SaaS to custom development .

Solution Features

Clustering Models
  • Support of Customer Vendor Segmentation using RFM & similar techniques. Segmentation enables rolling out initiative for each segment.
Recommend Model
  • Support of product & user based recommendation engine using market basket analysis(e.g. Apriori)
  • Support of user specific recommendation engine using deep reinforcement learning (e.g. DQN)
Time Series Models
  • Forecasting uses various statistical, machine and deep learning approaches for accurate forecasting of timeseries data. Our Platform uses forecasting to predict demand for products per location, which results in better inventory & manpower planning.
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Warehouse Automation
  • Support Product Analytics from multiple viewpoints like product category/subcategory, vendor, customer location, warehouse etc.
Predictive Maintenance
  • Support sentiment analysis for comments on social media platforms using NLP algorithms.