The Challenge

A mid-size FMCG manufacturer with a well-established grocery presence was seeing volume growth but margin erosion. Promotional spend had grown year-on-year without a corresponding increase in ROI. The commercial team suspected they were leaving revenue on the table but had no analytical framework to pinpoint where — or how much.

What Prism Did

We deployed our AI-powered RGM diagnostic — modelling the full pricing, promotional and mix architecture across the brand’s portfolio. Within three weeks, the AI had identified four distinct areas of commercial opportunity totalling £4.2M in annualised revenue and margin.

• Identified 23% promotional ROI improvement available through mechanic and timing reallocation
• Surfaced a pricing gap vs competitors that the brand was systematically underutilising
• Modelled pack architecture changes that would improve mix without sacrificing volume
• Built a 90-day implementation roadmap prioritised by speed to P&L impact

The Results

Within 90 days of implementing the prioritised recommendations, the brand had improved promotional ROI by 18%, implemented new pricing architecture across its core range, and was on track to capture £2.1M of the identified £4.2M opportunity in year one. The engagement converted to an ongoing retained RGM partnership.

The Challenge

A challenger food brand with strong D2C sales was approaching its first major grocery range review at Tesco. The team had a great product and an engaged consumer base — but no category management capability, no retailer-ready data deck, and two weeks before the buyer meeting.

What Prism Did

We deployed our AI-powered category intelligence platform to build the shopper story from the ground up. In 10 days we had a complete picture of the category landscape, shopper missions, competitive dynamics and the specific gap the brand uniquely filled — backed by data the buyer hadn’t seen before.

• AI analysed shopper basket data, social conversation and competitor ranging across the category
• Built a category vision grounded in emerging shopper missions Tesco’s own data hadn’t yet captured
• Identified a specific ranging gap worth significant incremental revenue to Tesco
• Delivered a retailer-ready category story and data deck in 14 days from brief

The Results

The brand won a full Tesco listing across 500 stores from a standing start — going from zero grocery presence to a tier-1 retailer in a single range review cycle. Category share in the relevant sub-category grew 23% in the six months following launch, validating the category story the AI intelligence had built.

The Challenge

A consumer goods brand on a monthly Prism intelligence retainer was consistently reacting to category trends rather than leading them. Competitors always launched first. The team knew better intelligence was the answer — but traditional research was too slow and too generic.

What Prism Did

Six weeks into the intelligence retainer, our AI flagged an unusual and statistically significant uptick in consumer discussion around a specific product variant across multiple independent platforms simultaneously. The cross-platform signal gave the AI high confidence this was a genuine emerging trend — not noise.

• AI detected the trend 7 weeks before any mainstream category intelligence or media coverage
• Validated the signal across 14 independent data sources before flagging
• Provided a full product strategy and launch recommendation with consumer language analysis
• Identified 6 creators already authentically discussing the trend for seeding partnerships

The Results

The brand launched first. The limited edition product generated £1.8M in incremental revenue and sold out in 9 days. Competitors launched 6 weeks later into a conversation the brand already owned. The intelligence retainer has since identified two further trend opportunities ahead of the market.

The Challenge

A private equity firm was in the final stages of a £30M acquisition of a UK consumer brand. Standard commercial due diligence was taking too long through their usual advisory channels — the deal timeline required a full commercial landscape assessment in under two weeks. Traditional consultancies couldn’t move at that pace.

What Prism Did

We deployed our full AI intelligence capability to compress a typical 6-week commercial due diligence process into 12 days. Our AI simultaneously processed market sizing data, consumer sentiment signals, competitive dynamics and category growth forecasts — synthesised into a commercial landscape assessment the investment team could use immediately.

• Market sizing and growth rate analysis across the brand’s three core categories
• Consumer sentiment and brand perception assessment vs category competitors
• Competitive landscape mapping — positioning, pricing, distribution and recent moves
• RGM opportunity identification — the revenue upside available post-acquisition
• Risk assessment — category headwinds, consumer risks and competitive threats

The Results

The PE firm closed the £30M acquisition with a full commercial picture. The Prism intelligence identified £2.8M in RGM upside available post-acquisition — which became the core of the 100-day value creation plan. Prism was subsequently engaged to deliver the RGM diagnostic and category strategy for the acquired brand.