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Our Solutions

Apollo

Predict True Demand™ And Get It Right Every Time

True demand planning is one of the most critical capabilities for a 21st-century retailer or a brand that seeks to stay relevant as the digital revolution sweeps the global retail industry. However, fashion’s success rate is in the same space as the software industry, with two-thirds of products not meeting the True Demand ™ of the consumer. Current prediction models are designed assuming products can be understood through attributes. However, it’s time we change this old way of engaging in a one-way conversation with the consumer for accurate demand planning through advanced predictive analytics. We will put the existing predictive analytics methods through a litmus test right now. Can you narrate what you are wearing or what you are having in your home or your shoe in language? 

Whatever narration you get, if you give it to a designer, do you think they would recreate the True Demand ™ of the consumer? Your response to this question will be a “no.” This means that the so-called existing prediction models use transaction data and attributes that carry signals that are insufficient for an industry like fashion and lifestyle. Hence, the need for a new thinking “Apollo,” a one-of-its-kind advanced predictive analytics engine that uses both images and textual attributes for top-hole demand planning. With Apollo, a brand or a retail organization can produce on-trend styles by evaluating its past sales data and analyzing True Demand ™ data specific to the brand. The brand’s buyers, planners, and merchandisers can use Apollo to augment their decisions using demand planning that helps them take appropriate actions and track the performance of styles launched.

Apollo has demonstrated best in the class increase in forecast accuracy of anywhere between 20% and 40% from the current baseline with our clients. This in effect creates an opportunity to double your profits.

Benefits

Monitor True Demand ™ through advanced predictive analytics

Analyze True Demand ™ to help your brand increase the accuracy of key product decisions. Prevailing demand planning methods are either associative, conventional consumer research-based models or at best, analyses of textual attributes. Inspired by human visual perception, Apollo scans every pixel of images of products on the internet and analyses that along with text-based attributes through an ensemble machine learning model for informed demand planning.

Evaluate potential True Demand ™ for a yet-to-be-launched product

Apollo helps you map True Demand ™ using your omnichannel data combined with True Demand ™ of consumers from C.IT at an internet-scale. This advanced predictive analytics helps assess relative demand potential at the prototype/design stage itself so that you can accurately choose relevant styles for future ranges. It creates contextually relevant predictive analytics for your new products and helps you develop a consumer-right assortment strategy for your launch assortment.

Optimize inventory by hyper-accurate demand planning

Apollo helps you optimize open-to-buy (OTB), pre-season and in-season demand planning decisions, in-season overbuy and underbuy predictions that will help you take prompt actions. It leverages enterprise data and market trends to maximize sales velocity, revenue, and profit. No style is a poor performer if bought in the right quantity at the right time. Apollo predicts absolute True Demand ™ for products at various levels of distribution channels. It eliminates guesswork and helps you decide how much to buy or recommend to your stores and channels by analyzing True Demand ™. You can minimize the common errors of overbuying and underbuying, leading to inventory leftover and lost sales opportunities, respectively, due to inaccurate demand planning.

Relevant for: Buyers, Planners,
Category heads.
Want to know how?

Our Solutions

Apollo

Predict True Demand™ And Get It Right Every Time

True demand planning is one of the most critical capabilities for a 21st-century retailer or a brand that seeks to stay relevant as the digital revolution sweeps the global retail industry. However, fashion’s success rate is in the same space as the software industry, with two-thirds of products not meeting the True Demand ™ of the consumer. Current prediction models are designed assuming products can be understood through attributes. However, it’s time we change this old way of engaging in a one-way conversation with the consumer for accurate demand planning through advanced predictive analytics. We will put the existing predictive analytics methods through a litmus test right now. Can you narrate what you are wearing or what you are having in your home or your shoe in language? 

Whatever narration you get, if you give it to a designer, do you think they would recreate the True Demand ™ of the consumer? Your response to this question will be a “no.” This means that the so-called existing prediction models use transaction data and attributes that carry signals that are insufficient for an industry like fashion and lifestyle. Hence, the need for a new thinking “Apollo,” a one-of-its-kind advanced predictive analytics engine that uses both images and textual attributes for top-hole demand planning. With Apollo, a brand or a retail organization can produce on-trend styles by evaluating its past sales data and analyzing True Demand ™ data specific to the brand. The brand’s buyers, planners, and merchandisers can use Apollo to augment their decisions using demand planning that helps them take appropriate actions and track the performance of styles launched.

Apollo has demonstrated best in the class increase in forecast accuracy of anywhere between 20% and 40% from the current baseline with our clients. This in effect creates an opportunity to double your profits.

Benefits

Monitor True Demand ™ through advanced predictive analytics

Analyze True Demand ™ to help your brand increase the accuracy of key product decisions. Prevailing demand planning methods are either associative, conventional consumer research-based models or at best, analyses of textual attributes. Inspired by human visual perception, Apollo scans every pixel of images of products on the internet and analyses that along with text-based attributes through an ensemble machine learning model for informed demand planning.

Evaluate potential True Demand ™ for a yet-to-be-launched product

Apollo helps you map True Demand ™ using your omnichannel data combined with True Demand ™ of consumers from C.IT at an internet-scale. This advanced predictive analytics helps assess relative demand potential at the prototype/design stage itself so that you can accurately choose relevant styles for future ranges. It creates contextually relevant predictive analytics for your new products and helps you develop a consumer-right assortment strategy for your launch assortment.

Optimize inventory by hyper-accurate demand planning

Apollo helps you optimize open-to-buy (OTB), pre-season and in-season demand planning decisions, in-season overbuy and underbuy predictions that will help you take prompt actions. It leverages enterprise data and market trends to maximize sales velocity, revenue, and profit. No style is a poor performer if bought in the right quantity at the right time. Apollo predicts absolute True Demand ™ for products at various levels of distribution channels. It eliminates guesswork and helps you decide how much to buy or recommend to your stores and channels by analyzing True Demand ™. You can minimize the common errors of overbuying and underbuying, leading to inventory leftover and lost sales opportunities, respectively, due to inaccurate demand planning.

Relevant for: Buyers, Planners,
Category heads.
Want to know how?