Initial Allocation
Initial Allocation
Initial Allocation

Launch with surgical precision

Launch with surgical precision

Launch with surgical precision

New products have no sales history, but they shouldn't be a gamble. Tightly analyzes attributes to predict exactly where your inventory should go—and in what sizes—before the first unit is ever sold.

New products have no sales history, but they shouldn't be a gamble. Tightly analyzes attributes to predict exactly where your inventory should go—and in what sizes—before the first unit is ever sold.

New products have no sales history, but they shouldn't be a gamble. Tightly analyzes attributes to predict exactly where your inventory should go—and in what sizes—before the first unit is ever sold.

See Allocation in Action

See Allocation in Action

See Allocation in Action

Tightly software seasonality analysis showing low stock of SKU #BH-004-9Z bucket hat, recommending replenishment of 120 units based on current vs last year sales data.
Tightly software seasonality analysis showing low stock of SKU #BH-004-9Z bucket hat, recommending replenishment of 120 units based on current vs last year sales data.
Tightly software seasonality analysis showing low stock of SKU #BH-004-9Z bucket hat, recommending replenishment of 120 units based on current vs last year sales data.
Distribution Logic

No history? No problem

The old way: "Peanut buttering" stock evenly or using lazy clusters. The Tightly way: A bespoke allocation for every location based on SKU-level signals.

Distribution Logic

No history? No problem

The old way: "Peanut buttering" stock evenly or using lazy clusters. The Tightly way: A bespoke allocation for every location based on SKU-level signals.

Distribution Logic

No history? No problem

The old way: "Peanut buttering" stock evenly or using lazy clusters. The Tightly way: A bespoke allocation for every location based on SKU-level signals.

Attribute DNA

We don't need sales history. We analyze the "DNA" (Fit, Fabric, Price) of past best-sellers to predict how the new collection will perform in each region.

Attribute DNA

We don't need sales history. We analyze the "DNA" (Fit, Fabric, Price) of past best-sellers to predict how the new collection will perform in each region.

Attribute DNA

We don't need sales history. We analyze the "DNA" (Fit, Fabric, Price) of past best-sellers to predict how the new collection will perform in each region.

Contextual inbox

Stop sending Small sizes to stores that only sell Large. We calculate unique size curves for every location to match local demographics perfectly.

Contextual inbox

Stop sending Small sizes to stores that only sell Large. We calculate unique size curves for every location to match local demographics perfectly.

Contextual inbox

Stop sending Small sizes to stores that only sell Large. We calculate unique size curves for every location to match local demographics perfectly.

Cluster-free

Forget generic "A/B/C" store grading. Tightly generates a unique forecast for every single door. Store A gets a bespoke mix, independent of Store B.

Cluster-free

Forget generic "A/B/C" store grading. Tightly generates a unique forecast for every single door. Store A gets a bespoke mix, independent of Store B.

Cluster-free

Forget generic "A/B/C" store grading. Tightly generates a unique forecast for every single door. Store A gets a bespoke mix, independent of Store B.

Capacity awareness

We prevent flooding. The system checks the physical shelf capacity of the destination store to ensure you don't send more stock than they can display.

Capacity awareness

We prevent flooding. The system checks the physical shelf capacity of the destination store to ensure you don't send more stock than they can display.

Capacity awareness

We prevent flooding. The system checks the physical shelf capacity of the destination store to ensure you don't send more stock than they can display.

Capacity awareness

The "Cold Start" solver

Most platforms require months of data to start working. Tightly solves the "Day 1" problem by inferring demand from product characteristics.

Capacity awareness

The "Cold Start" solver

Most platforms require months of data to start working. Tightly solves the "Day 1" problem by inferring demand from product characteristics.

Capacity awareness

The "Cold Start" solver

Most platforms require months of data to start working. Tightly solves the "Day 1" problem by inferring demand from product characteristics.

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Attribute clustering

How do you allocate a product that has never sold? We analyze how similar items (based on silhouette or fabric) performed in the past to generate a baseline profile.

Bento Grid Image
Attribute clustering

How do you allocate a product that has never sold? We analyze how similar items (based on silhouette or fabric) performed in the past to generate a baseline profile.

Bento Grid Image
Attribute clustering

How do you allocate a product that has never sold? We analyze how similar items (based on silhouette or fabric) performed in the past to generate a baseline profile.

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Size optimization

The fastest way to kill a full-price sale is to have the wrong sizes. Tightly ensures the physical assortment matches the local customer body type, not a regional average.

Bento Grid Image
Size optimization

The fastest way to kill a full-price sale is to have the wrong sizes. Tightly ensures the physical assortment matches the local customer body type, not a regional average.

Bento Grid Image
Size optimization

The fastest way to kill a full-price sale is to have the wrong sizes. Tightly ensures the physical assortment matches the local customer body type, not a regional average.

Bento Grid Image
Bespoke distribution

No averages. Because Tightly generates a forecast for every SKU at every location, we build a custom allocation for every single door based on its specific velocity.

Bento Grid Image
Bespoke distribution

No averages. Because Tightly generates a forecast for every SKU at every location, we build a custom allocation for every single door based on its specific velocity.

Bento Grid Image
Bespoke distribution

No averages. Because Tightly generates a forecast for every SKU at every location, we build a custom allocation for every single door based on its specific velocity.

NPI Forecasting

Forecast without history

We analyze the DNA of your product catalog to predict the performance of a new arrival with high accuracy, preventing the costly cycle of shipping stock out only to ship it back later.

NPI Forecasting

Forecast without history

We analyze the DNA of your product catalog to predict the performance of a new arrival with high accuracy, preventing the costly cycle of shipping stock out only to ship it back later.

NPI Forecasting

Forecast without history

We analyze the DNA of your product catalog to predict the performance of a new arrival with high accuracy, preventing the costly cycle of shipping stock out only to ship it back later.

Look-alike modeling

We scan your historical catalog to find "twins"—products with similar attributes. The engine inherits their demand profile to create a launch curve.

Look-alike modeling

We scan your historical catalog to find "twins"—products with similar attributes. The engine inherits their demand profile to create a launch curve.

Look-alike modeling

We scan your historical catalog to find "twins"—products with similar attributes. The engine inherits their demand profile to create a launch curve.

Confidence bands

We don't just guess; we give you a risk profile. See the "Best Case" and "Worst Case" scenarios to decide how aggressively to push stock to new markets.

Confidence bands

We don't just guess; we give you a risk profile. See the "Best Case" and "Worst Case" scenarios to decide how aggressively to push stock to new markets.

Confidence bands

We don't just guess; we give you a risk profile. See the "Best Case" and "Worst Case" scenarios to decide how aggressively to push stock to new markets.

Transactions List
Transactions List
Transactions List
Transactions List
Transactions List
Transactions List
Demographic Fit

Stop the "Broken Stock" cycle

Sending all the Smalls to a store that sells Large is a margin killer. Tightly calculates unique size curves for every location.

Demographic Fit

Stop the "Broken Stock" cycle

Sending all the Smalls to a store that sells Large is a margin killer. Tightly calculates unique size curves for every location.

Demographic Fit

Stop the "Broken Stock" cycle

Sending all the Smalls to a store that sells Large is a margin killer. Tightly calculates unique size curves for every location.

Dynamic curves

Size demand isn't static. Tightly detects shifts (e.g., a trend toward oversized fits) and adjusts the ratio of XLs to Ms automatically for the next push.

Dynamic curves

Size demand isn't static. Tightly detects shifts (e.g., a trend toward oversized fits) and adjusts the ratio of XLs to Ms automatically for the next push.

Dynamic curves

Size demand isn't static. Tightly detects shifts (e.g., a trend toward oversized fits) and adjusts the ratio of XLs to Ms automatically for the next push.

Location specific

We treat every store as a unique market. Your downtown flagship might sell 40% Smalls, while your suburban location moves 60% Larges.

Location specific

We treat every store as a unique market. Your downtown flagship might sell 40% Smalls, while your suburban location moves 60% Larges.

Location specific

We treat every store as a unique market. Your downtown flagship might sell 40% Smalls, while your suburban location moves 60% Larges.

Bespoke Distribution

No averages. No clusters

Lazy "Store Clustering" hides inefficiency. Because Tightly generates a forecast for every SKU at every location, we build a custom allocation for every single door.

Bespoke Distribution

No averages. No clusters

Lazy "Store Clustering" hides inefficiency. Because Tightly generates a forecast for every SKU at every location, we build a custom allocation for every single door.

Bespoke Distribution

No averages. No clusters

Lazy "Store Clustering" hides inefficiency. Because Tightly generates a forecast for every SKU at every location, we build a custom allocation for every single door.

Store specificity

Store A might need deep inventory on "Basics" but shallow stock on "Fashion." Store B might be the opposite. Tightly respects the nuance.

Store specificity

Store A might need deep inventory on "Basics" but shallow stock on "Fashion." Store B might be the opposite. Tightly respects the nuance.

Store specificity

Store A might need deep inventory on "Basics" but shallow stock on "Fashion." Store B might be the opposite. Tightly respects the nuance.

Pack optimization

We respect the box. Tightly automatically rounds allocation quantities to match vendor pre-packs (e.g., 2-2-1-1 size runs) to ensure warehouse efficiency.

Pack optimization

We respect the box. Tightly automatically rounds allocation quantities to match vendor pre-packs (e.g., 2-2-1-1 size runs) to ensure warehouse efficiency.

Pack optimization

We respect the box. Tightly automatically rounds allocation quantities to match vendor pre-packs (e.g., 2-2-1-1 size runs) to ensure warehouse efficiency.

Transactions List
Transactions List
Transactions List

Deployed and loved by retailers & brands

Deployed and loved by retailers & brands

Deployed and loved by retailers & brands

Ready to stop the chaos?

Join the modern merchants using Tightly to scale faster and smarter.

Connect your email and ERP. Let Tightly manage the noise so you can focus on the relationship.

Get your assessment

Ready to stop the chaos?

Join the modern merchants using Tightly to scale faster and smarter.

Connect your email and ERP. Let Tightly manage the noise so you can focus on the relationship.

Get your assessment

Ready to stop the chaos?

Join the modern merchants using Tightly to scale faster and smarter.

Connect your email and ERP. Let Tightly manage the noise so you can focus on the relationship.

Get your assessment