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Bizom launches five products to empower brands with direct access to retailers

ANI 

Bizom's newly launched retailer app-based 'Perfect Store' is a game-changer for consumer brands in It converts push-based distribution to pull-based through its unique suggested orders and image recognition features. These features leverage AI/ML capabilities to empower brands with smarter execution.

On 16th April, Bizom, a leading provider of SaaS-based for consumer companies, has launched AI/ML-based products that will disrupt distribution in The products, launched at Bizom's annual conclave 2019 in Bengaluru, enable smarter execution by converting the traditional push-based distribution to a pull-based one.

The Indian consumer goods industry is a complex ecosystem with its multi-tier distribution system. This means consumer brands have limited or no interaction with their Such unfavourable conditions create an ecosystem that does not support transparency of data or formulation of clear insights. Consumer brands are unable to measure the performance of their products or the effectiveness of various schemes and loyalty programs.

Bizom's perfect focus on simplifying the complex distribution system and bringing about greater clarity. They empower brands to reach and communicate with best-performing directly.

An important outcome for brands is the capacity to plug scheme leakages by directly transferring benefits to retailers. Additionally, brands can measure and analyze the effectiveness of their spend and improve their reach to the end-consumer.

"Consumer goods brands in are at an inflection point where their growth is guaranteed only through technological transformation. However, unlike the rest of the world, brands here grapple with the lack of data or insights thanks to the country's complex distribution ecosystem. Our perfect place the controls of their directly into the hands of the brands and bring greater transparency in the ecosystem", said, Lalit Bhise, Bizom's and Founder.

"The conclave has made it possible for both consumer brands and technologists to meet on common ground. Such collaborations only bode well for India's consumer industry. Bizom's products help brands address the systemic inefficiencies brought on by the multi-layered distribution mechanism. Such innovations are a step in the right direction - of growth not only for consumer brands but also for the 12 million kirana stores in India", said, Ashok Dhingra, former Director of SAB Miller, and

Marquee consumer brands including Reckitt Benckiser, Hershey's, JK Helene Curtis, iD Fresh, Gemini Edibles; Fats, Kraft Heinz, Mahindra Agri, Deepak Fertilisers, Kores, Stovekraft and others attended Bizom's Annual Conclave 2019.

Bizom's other new solutions as part of the innovation showcase included smart distribution planning that helps brands identify their outlet reach viz-a-viz the entire outlet universe, identify gap areas in the distribution network (optimize outlet coverage) and identify and reach the right outlets. Insights-driven DIY analytics provides not just data and reports but fast, accurate and actionable insights that allow brands to improve the velocity of their businesses daily. Suggested orders application helps brands drive several outcomes - optimise sales at outlets, enable dynamic sales forecasting for sales managers and representatives. Further, users can reduce the time spent at outlets and hence, cover more outlets per beat, improving reach all this while driving more depth of their products.

Machine learning-based beat and route planning feature replace the unscientific manual beat planning that is the bane of sales managers. The feature turns around the efficiency of the brand's sales force in the market by ensuring outlet coverage without sacrificing prioritization of the top-performing outlets.

This story is provided by NewsVoir. ANI will not be responsible in any way for the content of this article.

(This story has not been edited by Business Standard staff and is auto-generated from a syndicated feed.)

First Published: Wed, April 17 2019. 17:06 IST
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