This room centralizes the demos, documentation, and diligence artifacts needed to underwrite Delectable AI. Use the interactive app suite to explore the end-to-end experience, then dive into the technical documents for data science, AI/ML models, and the agentic system design.
Search, product, cart, and architecture walkthroughs.
Agentic system, models, standards, and data pipeline.
Due diligence Q&A + FirstMile evaluation checklist.
Artifacts reflect current codebase and demos.
Prepared for the Nielsen corp dev and investment team. Strategic synergies, data enrichment, and the $100B retail media opportunity.
The partnership thesis: macro + micro intelligence, synergy vectors, competitive moat, and growth opportunities.
Open strategic overviewMulti-dimensional product enrichment: food intelligence, user dimensions, behavioral signals, and market context.
Open data synergies$100B RMN market, NIQ Activate integration, closed-loop attribution, and proven ROI evidence.
Open retail mediaComplete data room with platform deep dives, architecture, customer evidence, and live demos.
Open Nielsen portalRebranded demo environments that show the shopper experience and AI surfaces.
High-level launchpad that links to search, category, PDP, cart, and agent architecture demos.
Open hubContextual search with live agent help, recipe reasoning, and personalized outcomes.
Open search demoCurated aisles with trend analysis, contextual bundles, and tailored promotions.
Open category demoEnhanced product detail AI plus cart optimization and savings logic.
Open product demoHow Delectable positions against LLM providers entering grocery — and why their entry validates our thesis.
Why LLM providers entering grocery is our tailwind. Seven defensible moats, investor-specific value for Nielsen and First Mile, and the data flywheel.
Open moat analysisDeep technical analysis of how OpenAI, Google, Amazon, and Microsoft approach grocery — and Delectable's role as the enterprise integration layer.
Open strategy documentRequired diligence materials requested by FirstMile.
Structured answers covering integrations, evaluation, data/IP, roadmap, and demo maturity.
Open Q&AFull diligence checklist to track completion across product, data/IP, security, and GTM.
Open checklistInteractive overview of the Delectable AI platform — agentic intelligence, food science, ranking pipeline, and commerce activation.
The full platform narrative — 6 defensible pillars, 10-stage ranking pipeline, knowledge graphs, virtual pantry, multi-channel architecture, and investor value thesis.
Open interactive overview14 orchestrated tools, playbook orchestration, and agentic reasoning loop — the Brain layer.
Open technical doc"Annotate, Don't Filter" — confidence-based dietary annotations that respect real shopping behavior.
Open technical doc70K+ SKUs enriched with 11 dietary flags, Nutri-Score, NOVA, health tiers — 100% coverage.
Open technical doc4-layer deterministic pipeline: ingredient parsing, category search, size-aware quantities, pantry subtraction.
Open technical docOne API across web, Shopify, kiosk, mobile, voice, and associate tablet — channel-agnostic by design.
Open technical docNutrient-weighted scoring, propensity integration, semantic bridge, and BQML models.
Open technical docSchema.org, GS1/GDSN, RDF, OWL — standards-based extraction and entity alignment.
Open technical docSuggested artifacts to strengthen diligence coverage and differentiation.
