{"id":1159,"date":"2026-05-12T07:10:13","date_gmt":"2026-05-12T07:10:13","guid":{"rendered":"https:\/\/fisgroup.mastersofbrands.co.uk\/?post_type=service&p=1159"},"modified":"2026-05-29T18:06:24","modified_gmt":"2026-05-29T18:06:24","slug":"volumetrics","status":"publish","type":"service","link":"https:\/\/fisgroup.mastersofbrands.co.uk\/service\/launch-and-scale-innovation-successfully\/volumetrics","title":{"rendered":"Volumetrics"},"content":{"rendered":"\n
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VOLUMETRICS<\/p>\n \n

Volumetrics for food and drink, volume forecasting you can commit against<\/h1>\n \n

Specialist volume forecasting for food and drink brands launching new products, ranges or menus. Decision-grade volume projections integrating consumer evidence (concept testing, product testing), category dynamics, channel reality and senior food and drink interpretation. Scenario forecasting where commercial uncertainty matters. The forecasting layer behind major commercial commitments and capacity planning decisions.<\/p>\n \n \n Scope a Volumetrics project →<\/span>\n <\/a>\n \n <\/div>\n\n

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When the launch commitment depends on the volume projection being defensible<\/h2>\n

Most major launches commit to volume projections that the underlying forecasting could not defend. The innovation director needs a number for the commercial case; the commercial director needs a number for the retailer commitment; the supply chain director needs a number for capacity planning; the finance director needs a number for the P&L impact projection. The internal forecasting team produces a number against the timeline and the commercial team commits against it. Six months post-launch, the actual volumes are materially different from the forecast in ways that compromise the commercial commitments made against it.
\nThe structural problem is that most internal forecasting handles new launches the way it handles existing range projections, with category dynamics and consumer evidence treated as input alongside other inputs rather than as the foundation of the projection. New launch forecasting needs different methodology: integration of consumer evidence (concept test scores, product test performance, market dynamics) into volume projections, channel-specific calibration (FMCG, foodservice, e-commerce dynamics vary materially), scenario forecasting where uncertainty matters more than a single point projection, and senior interpretation of what the forecast actually supports for commercial commitment.<\/p>\n<\/div>\n <\/div>\n\n

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Volumetrics is the specialist volume forecasting methodology for food and drink new product, range and menu launches. The work brings together volumetric specialists (who build the forecasting methodology), insight specialists (who integrate consumer evidence and category dynamics), commercial specialists (who calibrate against channel reality), and senior food and drink interpretation throughout. Output is decision-grade volume projections that the commercial team can commit against, with the uncertainty handled honestly and the forecast assumptions transparent for the commercial committee scrutiny that always follows.
\nIt is not the right tool for every brief. If the brief is existing range volume planning rather than new launch forecasting, internal commercial planning is more proportionate. If the brief is general market sizing rather than launch-specific volume projection, broader market research services are structurally different. If the brief is simple back-of-envelope estimation for early-stage concepts, our broader insight services may provide what is needed at proportionate scale. Volumetrics sits specifically when the brief is decision-grade volume forecasting for launches where the commercial commitment depends on the projection being defensible.<\/p>\n<\/div>\n

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What we do differently<\/h2>\n <\/div>\n \n \n <\/div>\n <\/div>\n<\/section>\n\n
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  1. \n Step 1<\/span>\n
    Consumer evidence integrated into volume projection methodology<\/h6>\n

    The structural difference between Volumetrics and generic forecasting. Most volumetric forecasting treats consumer evidence as input alongside other inputs; our methodology builds consumer evidence into the foundation of the projection: concept test performance translates into trial projection logic, product test performance translates into repeat purchase projection, consumer evidence on cannibalisation translates into range impact projection. The integration is what makes the forecast defensible against commercial committee scrutiny because the volume projection has consumer evidence behind it rather than just internal assumption.<\/p>\n <\/li>\n

  2. \n Step 2<\/span>\n
    Channel-specific calibration for food and drink reality<\/h6>\n

    The sector specialism. Volume forecasting varies materially by channel in food and drink: FMCG retail follows category dynamics (range positioning, retailer distribution, promotional mix); foodservice follows operator dynamics (operator type, daypart, menu integration, channel-specific consumer behaviour); e-commerce follows digital dynamics (discoverability, conversion, basket integration). Our methodology calibrates against the specific channel reality rather than applying generic forecasting across channels. The calibration is what makes the forecast credible against the actual launch context rather than generically correct but commercially uninformative.<\/p>\n <\/li>\n

  3. \n Step 3<\/span>\n
    Scenario forecasting that handles uncertainty honestly<\/h6>\n

    The methodological honesty. New launch forecasting carries genuine uncertainty (consumer response to genuinely new products is unpredictable, market dynamics shift, competitive response varies). Single-point forecasts pretend the uncertainty does not exist; scenario forecasting handles it honestly. Our methodology produces scenario ranges (base case, optimistic, conservative) with the underlying assumptions transparent and the sensitivity drivers identified. The commercial team commits against scenarios rather than against false-precision point forecasts, which is what makes the forecast useful for risk-aware commercial decision-making.<\/p>\n <\/li>\n

  4. \n Step 4<\/span>\n
    Senior interpretation that translates forecasts into commercial direction<\/h6>\n

    The interpretive layer. A forecast number is informative; the interpretation of what the forecast supports for commercial decisions is what makes it actionable. Senior food and drink specialists interpret the volume projection against the commercial context: what the forecast supports for retailer commitment, what it implies for capacity planning, where the upside opportunities sit, what the downside scenarios mean for risk planning. The interpretation is what makes Volumetrics useful for commercial decision-making rather than just informative for analytical consumption.<\/p>\n <\/li>\n \n <\/ol>\n \n <\/div>\n<\/section>\n\n

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    Six commercial use cases, written as scenarios a buyer will recognise from their own brief. The aim is for the reader to see their question on this list and self-select.<\/h2>\n <\/div>\n \n \n <\/div>\n <\/div>\n<\/section>\n\n
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    New product launch volume projection<\/h4>\n

    You are launching a new product and need decision-grade volume projection to inform commercial commitments (retailer listing volume commitments, P&L projections, capacity planning, marketing investment). Volumetrics integrates consumer evidence (concept test scores, product test performance), category dynamics, channel reality and senior interpretation into a defensible volume projection scoped for the specific commercial decisions the forecast has to support.<\/p>\n <\/div>\n <\/div>\n

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    Range launch volume and cannibalisation projection<\/h4>\n

    You are launching a range and need both the new volume projection and the cannibalisation impact projection on the existing range. Volumetrics handles the integrated forecast: which new SKUs deliver what new volume, how much new volume is genuinely incremental versus cannibalised from existing range, what the net range impact is across the launch period. Critical for range strategy decisions where the commercial case depends on the cannibalisation reality.<\/p>\n <\/div>\n <\/div>\n

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    Menu programme volume projection<\/h4>\n

    You are launching a foodservice menu programme and need volume projection scoped against operator dynamics: which menu items deliver what volume, what the menu engagement looks like, how operational reality affects volume realisation, what the daypart and channel-specific volume dynamics are. The foodservice equivalent of FMCG volume forecasting, with the methodology calibrated for foodservice operational reality and operator commercial dynamics.<\/p>\n <\/div>\n <\/div>\n

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    Scale-up brand growth trajectory forecasting<\/h4>\n

    You are a scale-up brand commissioning growth trajectory forecasting that supports investment cases, board commitments or strategic planning. Volumetrics produces growth trajectory projections grounded in consumer evidence and category reality rather than internal optimism, with the scenario ranges scoped for the strategic decisions the forecasting has to support (investor commitments, strategic partnership conversations, board strategic planning).<\/p>\n <\/div>\n <\/div>\n

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    International market entry volume projection<\/h4>\n

    You are entering a new market (UK brand entering Europe or US, international brand entering UK) and need volume projection for the market entry launch: market sizing, channel dynamics, consumer reception projection. Volumetrics handles the international launch projection with methodology calibrated for the specific market reality rather than assuming UK or domestic dynamics extend. Critical for market entry investment decisions where the forecast supports substantial commercial commitments.<\/p>\n <\/div>\n <\/div>\n

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    Capacity planning forecast for 3PM and manufacturing<\/h4>\n

    You are scoping manufacturing capacity for launch (3PM commercial commitments, in-house capacity planning, contract minimums) and need volume forecasts the capacity planning can commit against. Volumetrics provides the forecast layer that feeds capacity planning, often commissioned alongside 3PM Manufacturing Solutions for major launches where capacity decisions are commercially sensitive. The integration of volumetric forecasting with capacity planning is what makes the manufacturing commitments defensible rather than over-built or under-built.<\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n

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      How a Volumetrics project runs<\/h2>\n

      From launch context to defensible volume projection<\/h5>\n <\/li>\n \n
    2. \n Step 1<\/span>\n
      Scoping call<\/h6>\n

      Twenty minutes on a call. You tell us the launch context (which products, which channels, which markets, what the commercial commitments are), the existing consumer evidence available (concept testing, product testing, market research, internal sales data), the decisions the forecast has to support (retailer commitments, P&L projections, capacity planning, investment cases), the integration with your internal forecasting and commercial team and the timeline. We tell you whether Volumetrics is the right tool, what format makes sense, what evidence integration is feasible and roughly what it will cost. Where the brief would be better served by internal forecasting with selective external support, by market sizing rather than launch forecasting, or by other approaches, we will recommend the right alternative honestly.<\/p>\n <\/li>\n

    3. \n Step 2<\/span>\n
      Evidence audit and methodology design<\/h6>\n

      Senior team audits the existing consumer evidence and identifies the integration points for the forecast: how concept test performance translates into trial projection logic, how product test performance translates into repeat projection, how market dynamics inform category share assumptions, where the forecast methodology has to flex for channel-specific reality. Methodology designed against the specific brief and signed off by the client before forecasting work opens, so the forecast is scoped against agreed parameters rather than against generic forecasting methodology.<\/p>\n <\/li>\n

    4. \n Step 3<\/span>\n
      Forecasting work<\/h6>\n

      Volumetric specialists run the forecasting work against the agreed methodology: trial projection from consumer evidence, repeat projection from product performance, channel-specific calibration, range cannibalisation modelling where relevant, scenario development across base case, optimistic and conservative scenarios. The work integrates the consumer evidence and category dynamics throughout rather than treating them as input applied at the end of methodology execution.<\/p>\n <\/li>\n

    5. \n Step 4<\/span>\n
      Scenario development and senior interpretation<\/h6>\n

      Senior food and drink specialists develop the scenario ranges and run the interpretive layer: what the base case forecast supports for commercial commitment, what the optimistic scenario implies for upside planning, what the conservative scenario means for downside risk planning, where the sensitivity drivers sit (which assumptions matter most for the forecast outcome), what the forecast genuinely supports versus over-claims on. The interpretation is what makes the forecast commercially useful rather than just numerically present.<\/p>\n <\/li>\n

    6. \n Step 5<\/span>\n
      Decision-ready volume projection<\/h6>\n

      A working readout session walking the team through the volume projection, the scenarios and the commercial implications, followed by the full deliverable: scenario forecasts with transparent assumptions, sensitivity analysis on the key drivers, commercial decision support recommendations against the specific decisions the forecast has to inform, integration with capacity planning or 3PM Manufacturing work where relevant. The deliverable is built for the commercial decision audience (board, investment committee, commercial committee, NPD committee) and lands within three weeks of fieldwork completion for focused briefs, longer for strategic forecasts.<\/p>\n <\/li>\n \n <\/ol>\n \n <\/div>\n<\/section>\n\n

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      Three formats. Scoped against the launch context and the forecast commercial purpose.<\/h2>\n

      Volumetrics flexes against the launch context, the forecast scope and the commercial decisions the forecast has to support. The three formats below are the typical engagement shapes, with the format selected at scoping rather than assumed. Focused launch forecasting for single product or focused range work; strategic launch forecasting for range or multi-channel work; pipeline forecasting for ongoing projection across multiple connected launches.<\/p>\n <\/div>\n \n \n <\/div>\n <\/div>\n<\/section>\n\n

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      Focused launch forecasting<\/h2>\n

      Single product or focused range, single market, single primary channel, typically four to six weeks from scoping to decision-ready forecast. Cross-functional team scoped to the focused brief; evidence integration tightly scoped against the specific launch context; output focused on the commercial decisions the forecast has to inform. The most common Volumetrics format and the cleanest commercial proposition for focused launch forecasting briefs.<\/p>\n<\/div>\n <\/div>\n <\/div>\n\n

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      Strategic launch forecasting<\/h2>\n

      Range launch, multi-channel scope, or major strategic launch context, typically six to ten weeks from scoping to decision-ready forecast. Cross-functional team scoped for the multi-dimensional complexity; integrated forecasting across the range or channel scope with cannibalisation modelling where relevant; output scoped for the strategic commercial decisions the forecast has to inform. Suited to substantial commercial commitments where the strategic forecasting complexity exceeds focused single-product work.<\/p>\n<\/div>\n <\/div>\n <\/div>\n\n

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      Pipeline forecasting<\/h2>\n

      Ongoing forecasting across multiple connected launches in a strategic innovation pipeline, typically running across six to twelve months or longer as a sustained engagement. Cross-functional team scoped for ongoing pipeline integration; forecasting methodology flexes across launches within the pipeline; senior team holds the cumulative pipeline context across the engagement. Suited to strategic innovation contexts where the pipeline coherence affects forecast assumptions and where individual launches gain forecasting accuracy from the pipeline integration.<\/p>\n<\/div>\n <\/div>\n <\/div>\n\n

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      Food and drink is all we do<\/h2>\n

      We are not a generalist forecasting consultancy that takes the occasional food and drink brief or an analytics consultancy that adds volumetric work on top of broader services. Food and drink is the only sector we work in, and our senior team runs volumetric forecasting for this sector specifically: knowing which consumer evidence types correlate with which volume outcomes in food and drink, knowing the realistic forecast ranges by category, knowing where the forecasting needs to flex against channel-specific reality. Generic forecasting consultancies can run forecasting methodology; sector specialists can run forecasting calibrated against food and drink commercial reality rather than against generic category assumptions.
      \nThat focus is why we work with 11 of the UK’s top 40 food and drink brands.<\/p>\n <\/div>\n \n \n <\/div>\n <\/div>\n<\/section>\n\n

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      Other ways to launch and scale innovation successfully<\/h2>\n

      Volumetrics is one tool in the broader Launch & Scale Innovation Successfully toolkit. Depending on the brief, one of these might be a better fit, or a stronger partner alongside the volumetric forecasting work.<\/p>\n <\/div>\n \n \n <\/div>\n <\/div>\n<\/section>\n\n