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Consumer — Food Service & Processing

Food Service & Processing

Two businesses under one heading, and they must never be analysed with the same tools. Retail food service lives or dies on per-store unit economics. Food processing is a fixed-price contract business with punishing working capital.

For retail: novelty fades, so judge the mature-store cohort, not the new one. For processing: contracts are fixed, so the analysis is procurement price, yield, grade mix and the ninety-day working-capital cycle.

01 — Market Map

Two models, two analytical frames.

A · Retail food service

  • Formats
    Standalone versus in-mall locations; cloud kitchens; FOFO, COCO or hybrid ownership models.
  • Channels
    Dine-in versus aggregator delivery — different margins, and aggregators take a cut.
  • The core risk
    Once a brand reaches a certain scale, the novelty wears off. Same-store growth in the mature cohort is the honest test.

B · Food processing & export

  • Model
    B2B. Procure from farmers, process, sell to institutional buyers and brokers — often on export contracts.
  • Constraint
    Dehydration and similar processes must sit close to the farm; preservation and moisture loss govern the location.
  • Concentration
    Clusters are real: Mahuva in Gujarat alone has roughly 80–100 dehydration companies exporting onion and garlic at 6–8% margins.
02 — Structure & Economics

Per-store maths, and the processing bridge.

Retail — the definitions that matter

  • Conversion
    Total bills ÷ customers × 100 — footfall actually turning into a sale.
  • ATV
    Total sale ÷ total bills. Average ticket value.
  • Basket size
    Total quantity sold ÷ total bills.
  • ASP
    Total sale ÷ total quantity sold.
  • SPSF
    Total sale ÷ store size. Sales per square foot — the productivity measure.
  • Table turns
    How many times a table is filled per service period.
  • Rent per sq ft
    Per month, and against SPSF — the ratio that decides store-level profit.

Processing — the margin bridge

Volume (tons) × blended realisation (₹/kg)
less variable costs — raw material at mandi + milling and sorting loss + freight
= gross margin
less fixed overheads — A&P, employee cost, storage and ageing
= EBITDA

Blended realisation is simply total revenue ÷ total volume sold. Export realisation per kg typically runs higher than bulk domestic, reflecting stronger pricing power on branded or specification-grade product.

The working-capital cycle is the processing sector's defining feature. Debtor days run high because procurement pays the farmer early — roughly 3 months — while EU buyers advance only about 30% and Middle East buyers around 60%, leaving a working-capital cycle near 90 days. Contracts with ship-liners are quarterly or half-yearly and fixed, so price escalation is a structural drawback: input inflation between contract dates lands entirely on the processor.
03 — What Drives a Winner

Store productivity, branded mix, and procurement edge.

— 01

Mature-store productivity

SPSF and throughput per store in the mature cohort, not the newly opened one. New stores flatter every average; the mature base tells you whether the concept holds.

— 02

Branded revenue share

In processing, branded sales ÷ total sales is the pricing-power metric. Bulk commodity export at 6–8% margins is a fundamentally different business from a branded one.

— 03

Procurement & yield

Procurement price per kg, realised yield, and grade A versus grade B mix. Small yield differences compound directly into gross margin on fixed-price contracts.

04 — Diligence Checklist

What to answer before underwriting.

  • Store cohort economics. SSSG and SPSF for stores open more than two years, separated from new openings. Has novelty worn off in the mature base?
  • Standalone or mall. Location mix, rent per sq ft per month, and how rent compares against sales per sq ft.
  • Channel split. Aggregator versus dine-in, and the margin on each after commission.
  • Ownership model. Cloud kitchen, FOFO, COCO — and what that means for capital intensity and control.
  • Revenue per SKU. Tracked QoQ and YoY to see what actually sells, and whether pricing has been tested.
  • Input cost absorption. Can the business absorb escalation — for example a global coffee price move — or does it reprice?
  • Procurement terms. Price per kg, sourcing period, price volatility, and grade A versus grade B split.
  • Processing capacity. Plant throughput capability versus actual volumes, and wastage rates.
  • Contract structure. Quarterly or half-yearly ship-liner contracts, and whether any escalation clause exists at all.
  • Client concentration. Top three to five institutional buyers and brokers, and advance terms by geography.
05 — KPIs to Track

What to monitor, quarter by quarter.

KPICalculationBenchmark or read-through
SSSGSame-store sales growthRead on mature stores only; the honest measure of concept health
Sales per sq ft (SPSF)Total sale ÷ store sizeThe core productivity metric; compare against rent per sq ft
Average ticket valueTotal sale ÷ total billsRising ATV on flat footfall = pricing or mix working
ConversionTotal bills ÷ customers × 100Footfall turning into sales; falling conversion precedes SSSG decline
Basket sizeTotal quantity ÷ total billsAttach rate; upselling effectiveness
Table turnsCovers per table per periodCapacity utilisation in a dine-in format
Rent ÷ salesStore rent ÷ store revenueThe store-level profitability gate
Aggregator vs dine-in mixRevenue splitAggregator commission is a permanent margin cost
Throughput per storeVolume or covers per storeNormalises for store size when comparing formats
Blended realisation (₹/kg)Total revenue ÷ total volumeThe processing top line; split domestic vs export
Export realisation per kgExport revenue ÷ export volumeTypically above bulk domestic — a pricing-power signal
Branded revenue shareBranded sales ÷ total salesThe single best margin-durability indicator in processing
Procurement price₹/quintal or ₹/kg at mandiTrack through peak arrival quarters — the RM inflation read
Yield / wastageOutput ÷ input; wastage %Small yield moves compound directly into gross margin
Grade A vs B mixVolume splitGrade mix drives realisation as much as price does
Working capital cycleDebtor + inventory − creditor days~90 days is the sector norm; farmer paid at ~3 months
06 — Risks & Red Flags

How the thesis breaks.

  • !
    Novelty decay. The stated sector risk: at a certain scale the novelty wears off. Growth carried entirely by new openings, with flat or negative mature-store SSSG, is the classic warning.
  • !
    Fixed contracts, floating inputs. In processing, quarterly and half-yearly contracts with no escalation clause mean input inflation lands wholly on the processor.
  • !
    Working-capital squeeze. Paying farmers at three months while receiving 30% advance from EU buyers leaves a structural funding gap.
  • !
    Commodity margins. Bulk dehydration export at 6–8% margins offers almost no buffer against a procurement or freight shock.
  • !
    Cluster competition. Eighty to a hundred companies in a single cluster means limited pricing discipline and easy buyer switching.
  • !
    Aggregator dependence. Delivery platforms bring volume and take margin; a commission change resets store economics.
  • !
    Perishability and yield. Moisture loss, wastage and grade slippage hit gross margin with no recourse under fixed pricing.
07 — Key Numbers

The figures, and where they stand.

MetricValueNoteBasis
Dehydration export margin6–8%Mahuva cluster, onion and garlic exportResearch note
Mahuva cluster size80–100 companiesGujarat; onion and garlic dehydrationResearch note
Farmer payment terms~3 monthsProcurement side of the cycleResearch note
EU buyer advance~30%Balance on delivery termsResearch note
Middle East buyer advance~60%Materially better terms than EUResearch note
Working capital cycle~90 daysThe sector's structural funding requirementResearch note
Contract tenureQuarterly / half-yearlyFixed price; escalation is the known drawbackResearch note
Basis. This framework leads on definitions and unit-economic structure. Add category-level market size and competitive share alongside it as those estimates come in.