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Slicer_Kanvas_PLM_Analytics_Retail Operations_VM_Kanvas _Main Screen

AI/ML DRIVEN

SIMILARITY SEARCH

Get pricing & buy quantity recommendations based on past performance of similar products using our AI/ML engine.

Slicer-Kanvas-Pricing Strategy-Product Recommendation Engine-Artificial Intelligence-Machine Learning

VISUAL MERCHANDISING AT SCALE

Generate store-specific Visual Merchandising guidelines in bulk based on strategic inputs and each store’s stock and sales data.

IMPROVE OMNICHANNEL PERFORMANCE

See all your data from channels in one place. This holistic approach will enable you to understand trends, customer preferences, product performance and make better decisions.

Slicer-Kanvas-Product-Performance-Analytics-Omnichannel-Insights

Slicer_Kanvas_Merchandising System_PLM_Analysis_Range Review

EASY MANIPULATION

Kanvas allows you to manipulate designs and articles to create intuitive collections and easily reference underlying numeric data.

INTUITIVE
IMAGE ENRICHMENT

Kanvas empowers you to create verbal and non-verbal, iconography-led tags to be added to images, enabling the creation of ad-hoc collections with ease.

Slicer_Kanvas_Tagging_Product_Meta-Data_Enrichment_PLM

MULTIPLE
OUTPUT CREATION

Kanvas enables multiple types of outputs: posters, line-books, range-plans, mood boards, range reviews and reports.

COLLABORATION

Kanvas facilitates collaboration between users within the organisation and with external partners.

ACCESS FROM
ANYWHERE

Kanvas is cloud based, so we can get you started in no time and you can access it from anywhere.

ABOUT US

Slicer’s mission is to transform analytics in the fashion and lifestyle industry. Slicer’s breakthrough platforms help
organisations improve the quality of their decisions by generating faster, better insights and increase
productivity by accelerating design, ordering and tactical marketing processes. Slicer is also selling and adding value to customers through its trusted partners across the globe.

Slicer has offices in Singapore, India (Bangalore) and the US (Menlo Park, California).