Open to selected opportunities
SaaS Products
Sagacito
Challenge
Media houses (print, TV, digital) sell a perishable, non-storable inventory — airtime and page space — through manual, discount-prone pricing and disconnected pre-sales-to-revenue workflows, leaking margin especially during high-demand seasonal spikes.
Approach
Designed Ymax’s pricing engine — models real-time inventory constraints against seasonality, market dynamics, and audience data to calculate the highest price a client will accept without leaving revenue on the table.
Designed automated proposal and product-mix generation — bundling premium, high-demand slots with lower-demand inventory so sales reps meet campaign requirements while protecting margins.
Designed the approval-guardrail workflow (Pgov) — auto-approving compliant deals and escalating non-compliant or heavily discounted proposals.
Designed cross-channel portfolio optimization — unifying TV broadcast seconds and print page centimeters into a single blended pricing model.
Integrated RevX’s social-listening and prospecting signals directly into Ymax’s workflow, connecting pre-sales triggers to revenue orchestration.
Outcome
Implemented by major Indian media conglomerates including Hindustan Times, Ananda Bazar Patrika, and PVR Cinemas.
Three integrated products — Ymax, Pgov, and RevX — designed to function as one connected pre-sales-to-revenue pipeline.
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