Retail content required

Effective Load Control Mechanism helps in attaining higher margins

Timely & accurate predictions about the utility demand can help you cut down costs by reducing wastage and misuse. An efficient supply chain where you Produce, Distribute and consume only what is needed.

Improved profitability with predictive analysis of peak demand hours

Be efficient with the operational planning and reduce Procurement Costs with advanced analysis and forecasting of the utility demand.

Decrease Compliance Cost, plan Load Control Events and grow seamlessly

With VisionAIze, you are monitoring and controlling the performance of your utility in automation. Reduce power outages on the customer side, minimal interruptions, competitive utility costs and advanced demand assessment reporting.

Production Scheduling Optimization

Control operational expenses associated with AMI and other IoT sensor deployments.

What we do

We provide easy, ready-to-use, simple retail supply chain analytic solution that provides in depth business intelligence.

Retail analytics is the process of providing analytical data on inventory levels, supply chain movement, consumer demand, sales, etc. that are crucial for making marketing, and procurement decisions.

Service Segments

Segmenting or dividing a company’s customers into groups relevant to a particular business with the goal of deciding how to relate to customers in each segment in order to maximize the value of each customer to the business. Customer profiling, which can be done even without segmentation, is the next step to understand in-depth the nature of the segments

Customer purchase history, customer data (demographic, psychographic, behavioural etc.)

Clustering, CHAID, recursive partitioning, Classification tree etc.

  • Identify engaged/disengaged customer segments
  • Develop customer retention/acquisition strategy
  • Cross-sell/up-sell to boost revenues
  • Customer lifetime value (CLTV) analysis
  • Identify drivers of loyalty & areas of improvement

Market basket analysis is the study of items that are purchased (or otherwise grouped) together in a single transaction or in multiple, sequential transactions based on an understanding of the relationships & the strength of relationships among the products purchased together

Item level purchase data

Association analysis, Affinity analysis and Recommender based approach

Product placements

Product bundling

Other promotion types planning such as coupons


Sales/demand forecasting critical to retail to manage the entire supply chain & maximize profits. Sales/demand forecasting based on historical data or factors influencing sales/demand. Demand history can be created by scrubbing the sales history and at times adding to the sales history as demand is sales plus opportunity lost

Product sales/demand data, data on influencing factors

Time series forecasting, Regression analysis

  • Sales planning
  • Inventory management
  • Resource planning & deployment
  • Customer lifetime value (CLTV) analysis
  • Identify drivers of loyalty & areas of improvement

Optimizing safety stock to minimise demand-supply mismatch cost & maximise profits in case of dynamic demand & supply lead times for a given customer service level. Simulations based on derived distributions for demand & lead times help businesses to derive safety stocks and prepare for various uncertain scenarios

Product dispatch dates (expected/actual), actual product delivery date, actual quantity delivered, actual quantity consumed

Distribution fitting, Simulations

  • Safety stock optimisation
  • Estimation of optimal production level
  • Estimation of cost of opportunity loss

Promotion is crucial to retail and it is very important to understand how promotions affect sale. Promotion impact varies from product category to category & generally tends to follow an S-curve i.e. a minimum & a maximum level of promotion. Also, the impact can change when one promotion is combined with another

Item level sale data with promotion discount

Regression paradigm and Optimization modeling

  • Promotion impact on sales
  • Minimum, maximum & optimum discount levels
  • Conditional impact of one promotion given another & the optimal combination of the two promotions to maximise sales

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