Smart Offer Badges.

The problem

Map-based local search shows nearby businesses but not which real-time promotions are actually worth attention. Users make high-intent decisions without incentives, and merchants have no way to influence discovery at the moment that matters. Once offers do exist, the hard problem is deciding which to surface without creating promotional clutter or irrelevant noise — poor offer selection and irrelevant promotions are the most frequent, most severe pain points.

Traditional ad systems — Google Maps Local Ads, Apple Maps promotions, Yelp Ads — prioritize exposure and spend over relevance, against a backdrop of declining trust in digital promotions, signal overload, and privacy constraints.

The solution

Smart Offer Badges is an AI decision-and-ranking engine that layers onto map-based search to surface only offers genuinely worth showing. It interprets real-time intent and context, scores every nearby offer, suppresses low-quality ones, and ranks the rest across relevance, engagement, monetization, and exploration — with a diversity guard to prevent any one category from dominating.

The engine is trust-first and conservative by default: when in doubt, it suppresses. It optimizes across relevance, engagement, and monetization simultaneously rather than maximizing exposure, and improves through a closed feedback loop that learns from impressions, clicks, and navigation. Results appear as ranked map badges with lightweight explanation cues.

How it works

The architecture is a hybrid: a constrained, instruction-following LLM handles intent interpretation, context understanding, and tradeoff reasoning under ambiguity, while a deterministic rule layer enforces eligibility, constraints, consistency, and auditability. The system prompt casts the model as a neutral platform arbiter that prioritizes user trust over merchant exposure, never optimizes for impressions or spend, and returns strict JSON only — an approved_offers array with confidence scores, no free-text reasoning.

Inputs are structured, non-PII fields — offer metadata, merchant trust score, distance, inferred search intent, time context, policy flags — with low temperature for determinism and suppression by default when inputs are missing or conflicting. Manual evaluation across representative scenarios reached an ~85–90% pass rate, near 100% on high-confidence cases; early failures on ambiguous, borderline-trust queries were resolved by tightening suppression-first language and clarifying that trust outranks discount magnitude.

Who it's for

The product is B2B, sold to map-based search and local discovery platform operators (such as Google Maps and Apple Maps) who license the decision engine as a backend microservice. It integrates within existing map UI surfaces rather than introducing new navigation flows.

It indirectly serves two end-user groups: consumers making immediate high-intent decisions, who benefit from relevance and reduced clutter, and local merchants creating offers, who benefit from qualified, high-intent visibility. Revenue is transactional and outcome-based — the platform pays per qualified high-intent action such as directions or visit intent, rather than for impressions or guaranteed ranking.

Why it matters

The target market is projected to grow at roughly 10–15% CAGR over 3–5 years, driven by MarTech (~15–20% CAGR) and location-based advertising, rising high-intent local search, and advances in real-time AI decisioning. The differentiator is a trust-first, self-optimizing marketplace that balances relevance and monetization while protecting the user experience.

Rollout is staged and metrics-gated: a controlled pilot on select food and coffee merchants, then a live A/B test on ~5–10% of users comparing AI badges against a no-badge or rules-based baseline, then incremental scale (25% → 50% → 100%) only after meeting thresholds on relevance, latency, and high-intent actions — with instant feature-flag rollback to a safe "no-badge" mode if any metric degrades.

At a glance

Project

Smart Offer Badges

Built by

Ali Khosrojerdi

One-liner

Smart Offer Badges is an AI-powered local offer discovery and ranking concept layered on top of map-based business search.