Demand Sensing: Omnichannel, Real-Time, and Granular

Don’t settle for static forecasts and disconnected data. Anticipate and meet customer demand across all channels.

Syrup : The art & science of demand sensing
Everything you need to know about advanced demand sensing.
Get the guide

How Informed Are Your Forecasts?

Status quo techniques make the best of limited data — but merchandise planning teams are sitting on a goldmine of untapped insight. Demand sensing offers an elevator into the data depths.

Augment Superficial Data

Historical performance, current sales, and inventory feeds are all sources you’re likely using — the ceiling of what spreadsheet-based approaches can handle. Demand sensing tools can help you take full advantage of this surface-level data.

Layer In Digital And Features

Add critical channel data that often sits siloed. Mine your product attributes for insights into complementarity or cannibalization. Weather matter for your brand? Demand sensing models can account for that, too.

Multivariate Omnichannel Forecasts

Round out your foresight with physical channel analytics and any hyper-local data that might be relevant, such as events.

How Actionable Are Your Forecasts?

Calculating demand for any given item by hand: doable. Calculating demand for all size and color iterations for each item across all channels: forget about it. Spreadsheets just don’t cut it.

Dizzying Combinatorics

Just one shirt requires 20 separate forecasts across its 4 sizes and 5 colorways. An entire assortment? We’ll let you do the math. Or better yet, a demand sensing model can easily handle forecasting across your entire range.

Data That Informs Next Best Actions

Demand sensing offers planners, buyers, and allocators forecast accuracy at the SKU-store level — the level at which daily decisions are made, and the granularity required to ensure they meet demand without overstocking.

AI Is The Big Data Solution

Configurations and eligibility requirements — store tier, local events, regional style preferences, etc. — further increase computational complexity. Demand sensing models easily handle this big data problem.

How Scalable Are Your Forecasts?

The weekly rhythm of retail requires tight integration between forecast, strategic rules, and inventory execution across teams, big and small. Demand sensing tools act as the grand unifier.

Strategy and Execution Should Live Together

Forecasts are just one piece of an intricate merchandising and planning puzzle. Business rules, target metrics, constraints — your strategy — all live somewhere. But bringing that strategy to life frequently takes place in spreadsheets.

The Excel Coding Conundrum

The standard solution? Hardcoded rules in spreadsheet cells. While convenient, formulas in these cells are executing some of your most critical business strategies. Difficult to update, difficult to troubleshoot.

Making Strategy Actionable

Demand sensing tools bring your strategy to the forefront of your merchandising and planning execution system. Dynamic adjustments to target margin, display requirements, store-SKU eligibility, shipping minimums, and more are just a click away.

Demand Sensing Features That Unlock Human Potential

Data Unification

Demand sensing systems collate and standardize valuable inputs across channels, systems, and teams.

  • Ingests all meaningful and available data, both internal and external.
  • Flexible data integration options: SFTP, direct integration, data warehouse, API, and more.
  • Rapid time-to-value with white-glove data onboarding.

Computational Strength

Multivariate analysis becomes omnivariate modeling with the power of AI.

  • Accurate store-level forecasts at the most granular level.
  • Advanced, non-linear models capture complex demand-supply relationships.
  • Forecasting-as-a-service enables rapid innovation and model iteration.

AI Orchestration

Feed strategy and execution needs into an intelligent brain, freeing human resources to innovate and elevate.

  • In-system configurability to set and update business logic constraints.
  • Models proactively address data sparsity and irregular patterns.
  • System aligns recommendations to key target metrics like WOS or max/min constraints for display and shipment.

We configure our specific business rules, such as store minimums for aesthetics, which means we can focus our human effort on analyzing the predictions, instead of manual number crunching.

Lambros Papadatos

VP Omnichannel Allocation and Planning, Faherty

“You need to be able to predict demand at a style, size, location level, which is pretty impossible to do with just spreadsheets. This is where Syrup is quite strong.”

Ivan Tchakarov

COO, Reformation

The Syrup platform gives us the ability to forecast demand at the item and size level.

Eva Sirera Constanti

Technology Innovation Leader, Desigual
Left arrow
Right arrow

The Art & Science of Demand Sensing

Maximize sales, minimize markdowns, and optimize inventory levels while elevating your merchandising and planning teams.

Contents
James Theuerkauf
The Challenges

Want to keep reading? Download the complete guide.

Download