Be on the leading edge of retail analytics
Inoptimizer is a legacy modernization friendly retail analytics tool that picks and feeds trends into your in-house system. Whether you are a retailer or a brand, Inoptimizer adapts to your ever-evolving brand positioning, product bundling and pricing strategies.
Inoptimizer's rules based pricing engine matches your volume, pricing and revenue goals with automated price adjustments. Adjustments can be triggered according to occasion, competitor intel, product, category, season and consumer behavior.
Inoptimizer is a truly holistic solution that consumes data from your ERP system to identify and fill gaps in your supply chain. It ensures that your assortment planning is pitch perfect and you never run into an out of stock situation.
With Inoptimizer you will never lose an opportunity to up-sell or cross-sell. The recommendation module pairs consumer behavior with product and category level dependencies in real-time.
Inoptimizer's predictive intelligence module sets it apart from other retail analytics solutions by visualizing 'what if' scenarios. It pairs real-time market and social media insights with simulation parameters specified by you.
Inoptimizer helps improve each stage of the retail-life cycle which adds up to the bottom-line.
Take advantage of real-time insights about trending attributes like colours, styles, materials and frequent stock-outs on competing marketplaces to forecast demand.
Inoptimizer computes store data and matches it with the planogram to recommends changes that optimizes product assortment visibility.
Automated re-orders are triggered whenever item stocks fall below minimum required levels, closest styles are matched if the exact items are not available at the warehouse / RDC.
The client wanted to expand the categories they served to become relevant for the upcoming winter season. They wanted to enter the aspirational lifestyle category as well.
The client needed an approach to increase market share of the skin as well as laundry categories by 200 Basis Points each. Using insights from POS data available, marrying them with AC Nielsen data & running targeted promotions to bring about this delta increase in share.