Search & Discovery

Turn customer intent into
the right product recommendation.

How Graas reasons through every product decision.

Customer Intent

They come with specific needs, not product names

Knowledge graph

Catalog & Customer Intelligence

Search and ranking

Query context, org policies and user’s preferences

Product Recommendation

Right products with reasoning explained

πŸ‘€
CUSTOMER QUERY "Looking for an AC for a 12 Γ— 14 west-facing bedroom in Chennai."
STEP 1

Understanding the context

Region & climate signals extracted
β—Ž Chennai β˜€ West-facing β‰ˆ Humid climate ↑ Hot afternoons
STEP 2

Sizing the room

Thermal load computed from dimensions
Room size
12 Γ— 14 ft β†’ 168 sq ft
Required load
1.5 ton
West-facing bias
+12% heat load
STEP 3

Product Graph

Catalog reasoned against the computed load
AC specs matched to load β†’ 4 qualify
STEP 4

Search & Ranking

Ranked by verified buyer reviews from similar climatic conditions, not by generic popularity.

Shortlisted with a clear "why this fits your room."

Not just a list, an explanation, so users buy with conviction.

✦ BEST MATCH

1.5 Ton Inverter AC

Sized for 168 sq ft. Rated for humid climates. West-facing heat load accounted for.

ALTERNATIVE

Higher Performance

Exceeds spec. Higher efficiency.

VALUE

Cost-Efficient Option

Meets all requirements.

Why enterprise buying needs more than search.

VS

Without Graas

KEYWORD SEARCH
Search engines match strings, not needs.
βœ•Match keywords: strings, not the need behind them.
βœ•Compare specifications: the buyer does the reasoning.
βœ•Ignore eligibility & availability: surfaced too late, at checkout.
βœ•Returns a product list: long, unranked for the buyer's context.

With Graas

✦ REASONED DISCOVERY
The Knowledge Graph reasons on the buyer's behalf.
βœ“Understand intent: the use case, constraints, and context.
βœ“Reason over catalog and user preferences: connected in one graph.
βœ“Apply business rules and stock availability: before anything is shown.
βœ“Recommend the best fit with reasoning: so buyers act with conviction.

Business Outcomes

2x

Higher Conversion

Intent matched to the product that actually fits, not keywords.

+15–25%

Basket Value

Smart upsells and cross-sells from the product Knowledge Graph.

Omni channel

Consistent Buying Experience

Across channels - web chat, WhatsApp and call centres