A packaging rule debated in a state assembly, a viral complaint in Hindi, a competitor launch covered in Tamil press — each can move sales in a region long before it reaches a national English-language summary. Brand teams that rely on English monitoring and quarterly audits see these signals late.
Score every mention, the same way
In the growth command center we built for an Indian FMCG beverages maker, real Indian news is ingested in English and Hindi, extensible to Telugu and Tamil. Every mention is scored by an LLM for sentiment, category, brand, region and impact, with a one-line "so what". If the model is unavailable, scoring falls back to keyword rules rather than stopping.
What the signal engine watches
From our retail & consumer case study
| Signal | What it does |
|---|---|
| Watchlist | Alerts on named activists, competitors and topics |
| Negative spike | Compares the last 48 hours with the baseline |
| Regulatory radar | Tracks packaging, labelling and claims developments |
| India signal map | Shades states by sentiment, coverage or sales metrics |
Note: Capabilities as built.
Source: DaasLabs, “Delivered for consumer businesses: retail & consumer case study” (2026)
Join the signal to the money
A spike in negative coverage matters more in a state that carries a large share of a brand's sales. That is why the map lets a team switch between external signals and internal sales metrics — and why its footnote always says which one is shown and how many states are populated.
A sentiment score on its own is trivia. Joined to the sales in that state, it becomes a decision.