Olist is a national marketplace powered by concentrated seller hubs. Customer demand appears across Brazil, but seller supply is much more concentrated in Sao Paulo and the South/Southeast.
The main operating tension is distance. Only 12.3% of geo-linked item rows are within 50 km, while 26.9% travel more than 750 km. Delivery time and freight rise materially as distance increases.
The best opportunity is regional supply development. Olist should keep using Sao Paulo as the main seller engine, but prioritize seller recruitment and logistics improvements in high-demand, under-supplied states and cities.
Main business question: Is Olist’s seller supply located close enough to where customer demand is, or is the marketplace relying too much on a few seller hubs to serve the whole country?
Decision question: Where should Olist recruit regional sellers or improve logistics to reduce long-distance shipping pressure?
Index formula: customer demand item rows / seller supply item rows.
Insight: Most states are customer-heavy, while only a few states are seller-heavy or close to balanced. Sao Paulo has a 0.59x index and Parana has 0.66x, meaning seller supply exceeds local demand. Santa Catarina is almost balanced at 1.02x. By contrast, many North and Northeast states have very high demand/supply indexes, including PA at 100x+, AM at 55x, PI at 44.92x, and several demand-only states marked Inf.
So what: The map shows that Olist demand is national, but local seller supply is not. This points to regional seller recruitment as the clearest business lever.
Insight: City-level ratios show the same structural pattern at a more detailed grain. Sao Paulo is seller-heavy, while Rio de Janeiro, Belo Horizonte, Brasilia, Salvador, Fortaleza, Belem, Manaus, Recife, and other cities show demand ahead of local seller supply.
So what: Use the city map to identify concrete places for seller recruitment or fulfillment partnerships, not just broad regional imbalance.
Insight: Seller supply is much more concentrated in Sao Paulo than customer demand. SP has 42.2% of customer item rows, but 71.3% of seller-origin item rows.
So what answer: Sao Paulo concentration helps Olist scale nationally because it creates a dense seller base, but it also creates a regional supply bottleneck when distant states depend on SP sellers.
Chart 1: Seller supply is more concentrated in Sao Paulo than customer demand.
Insight: Only 12.3% of orders are within 50 km, while 26.9% travel more than 750 km.
So what answer: Olist depends heavily on long-distance logistics, not just local buyer-seller matching. Delivery performance and freight economics are core to the marketplace model.
Chart 2: Most geo-linked item rows travel beyond local distance.
Insight: Delivery rises from 6.2 days at 0-50 km to 20.5 days at 1500+ km. Freight rises from BRL 11.48 to BRL 35.78.
So what answer: Olist should prioritize the distance bands above 750 km, especially 1500+ km routes, because those routes carry the clearest delivery-time and freight penalties.
Chart 3: Longer customer-seller distances increase delivery time and freight cost.
Insight: SP -> SP has 36,136 item rows, far above SP -> RJ with 9,661 and SP -> MG with 8,676.
So what answer: Olist should keep optimizing Sao Paulo because it is the main engine, but also build more regional supply near large demand markets like RJ, MG, BA, PE, CE, PA, and AM.
Chart 4: The highest-volume lanes are anchored in Sao Paulo.
Insight: The hardest long-distance lanes are mostly Sao Paulo to North/Northeast. SP -> PA averages 2,321 km and 23.4 delivery days.
So what answer: These lanes need either regional sellers, better routing, or clearer delivery promises. The highest-priority lanes are the ones with both high volume and long delivery time.
Chart 5: Long-distance lanes show where operational pressure is highest.
Insight: Belem and Maceio are demand-only examples, while Ibitinga has 7,723 supply items and only 24 demand items.
So what answer: Demand-heavy cities are candidates for seller recruitment. Supply-heavy cities are export hubs whose role is to serve demand elsewhere.
Chart 6: City-level imbalances separate demand-heavy markets from seller-export hubs.
| State | State name | Customer demand items | Seller supply items | Index | Interpretation |
|---|---|---|---|---|---|
| AC | Acre | 91 | 1 | 91x | Demand-heavy (4x+) |
| AL | Alagoas | 443 | 0 | Inf | Demand only |
| AM | Amazonas | 165 | 3 | 55x | Demand-heavy (4x+) |
| AP | Amapa | 82 | 0 | Inf | Demand only |
| BA | Bahia | 3,777 | 638 | 5.92x | Demand-heavy (4x+) |
| CE | Ceara | 1,468 | 93 | 15.78x | Demand-heavy (4x+) |
| DF | Distrito Federal | 2,212 | 855 | 2.59x | Demand-skewed |
| ES | Espirito Santo | 2,244 | 372 | 6.03x | Demand-heavy (4x+) |
| GO | Goias | 2,319 | 518 | 4.48x | Demand-heavy (4x+) |
| MA | Maranhao | 819 | 403 | 2.03x | Demand-skewed |
| MG | Minas Gerais | 13,087 | 8,744 | 1.5x | Demand-skewed |
| MS | Mato Grosso do Sul | 817 | 49 | 16.67x | Demand-heavy (4x+) |
| MT | Mato Grosso | 1,049 | 145 | 7.23x | Demand-heavy (4x+) |
| PA | Para | 1,077 | 8 | 100x+ | Demand-heavy (4x+) |
| PB | Paraiba | 596 | 38 | 15.68x | Demand-heavy (4x+) |
| PE | Pernambuco | 1,801 | 447 | 4.03x | Demand-heavy (4x+) |
| PI | Piaui | 539 | 12 | 44.92x | Demand-heavy (4x+) |
| PR | Parana | 5,715 | 8,649 | 0.66x | Supply-skewed |
| RJ | Rio de Janeiro | 14,523 | 4,803 | 3.02x | Demand-skewed |
| RN | Rio Grande do Norte | 527 | 56 | 9.41x | Demand-heavy (4x+) |
| RO | Rondonia | 275 | 14 | 19.64x | Demand-heavy (4x+) |
| RR | Roraima | 52 | 0 | Inf | Demand only |
| RS | Rio Grande do Sul | 6,215 | 2,191 | 2.84x | Demand-skewed |
| SC | Santa Catarina | 4,167 | 4,071 | 1.02x | Balanced |
| SE | Sergipe | 384 | 10 | 38.4x | Demand-heavy (4x+) |
| SP | Sao Paulo | 47,338 | 79,975 | 0.59x | Supply-skewed |
| TO | Tocantins | 313 | 0 | Inf | Demand only |
Presentation takeaway: Olist has national customer reach, but the seller network is still concentrated. That concentration is useful because it creates scale in Sao Paulo, but it also pushes many orders into long-distance logistics.
Business advice: Keep Sao Paulo as the main hub, but invest in regional seller recruitment and logistics support in customer-heavy states with meaningful demand. Prioritize by combining four signals: customer/seller index, total demand volume, delivery days, and freight cost.