| # | Financial Problem | Lighthouse AI Application | Measurable Outcome |
|---|---|---|---|
| Now 1 |
EBITDA margin collapsed from 12.3% to 6.8%. Commodity price volatility is moving faster than pricing decisions can respond across QSR, retail, and foodservice channels. | Claude reads corn, soybean, and live chicken market data daily alongside customer contract exposure — produces a one-page Monday morning pricing recommendation brief for the CFO before each weekly pricing meeting. | 100–150bps margin recovery per quarter. Pricing decisions that take days made in hours. Customer negotiations anchored to financial data, not intuition. |
| Now 2 |
Just Bare surpassed $1B in annual retail sales. Getting from $1B to $2B requires deeper Key Customer relationships — conversations that happen at the CFO and procurement level, not the account manager level. | Claude builds a Key Customer consequence narrative before every major account review — grounded in each customer's own disclosed financials, their margin pressures, and their stated strategic priorities. | Premium branded partnerships replace commodity supplier conversations. Every percentage point of branded mix improvement at $18.5B in sales is $185M in margin-accretive revenue. |
| Next 3 |
$950M in 2026 CapEx — Big Bird conversion, Mexico expansion, efficiency projects — requires return accountability. The board asks whether these investments are delivering against committed returns. The CFO needs faster visibility than quarterly earnings allow. | Claude tracks each capital project's financial performance against committed return timelines weekly — produces a board-ready CapEx variance brief before every quarterly review. | Capital allocation decisions made with real-time intelligence. Underperforming projects flagged before they compound. Board confidence built on transparency, not surprises. |
| Next 4 |
$1.3B committed to Mexico through 2030 — currently delivering only 3.1% EBITDA margin in Q1 2026. The CFO is managing a massive capital commitment in a market where intelligence infrastructure hasn't kept pace with investment scale. | Claude synthesizes Mexican market data — import levels, competitor pricing, regulatory signals, commodity fundamentals — in English, weekly, as a Mexico Intelligence Brief calibrated to the investment thesis. | Moving Mexico from 3.1% to 7–8% EBITDA margin on $700M+ annual revenue is $27–34M in annual EBITDA improvement — achievable only with faster market intelligence reaching the right decision-makers. |
| Later 5 |
Digitally-enabled sales grew 35% — but without a margin intelligence layer that distinguishes high-margin digital channels from high-volume ones. Revenue growth without margin awareness creates false momentum while EBITDA compresses. | Claude analyzes digital sales performance by channel, product, and customer — surfaces which combinations drive margin improvement versus just volume growth before Q3 selling season. | Just Bare digital expansion targeted toward margin-accretive channels. 35% revenue growth redirected toward the formats and retailers that improve EBITDA — not just the top line. |