How do I choose between different demand planning software options for a pet food supply chain team?

Choosing demand planning software for a pet food supply chain team comes down to matching the tool to your planning complexity, data quality, and the decisions your team needs to make every week. Here’s a practical way to evaluate options.

1) Start with your business needs

For pet food, demand can be volatile because of:

• promotions and price changes
• retailer orders and fill-rate behavior
• seasonal spikes
• new product introductions
• channel mix shifts, including e-commerce
• ingredient or packaging constraints that affect supply response

Ask:

• Are you mainly forecasting at SKU/store/DC level, or at a higher aggregate level?
• Do you need statistical forecasting, promotional lift modeling, S&OP, or all of the above?
• Is the main pain forecast accuracy, planner productivity, inventory imbalance, or service level?

2) Define your must-have features

Common essentials for a pet food team:

• multi-echelon planning
• promotion and event planning
• SKU/location-level forecasting
• collaborative workflow and approvals
• exception management
• demand sensing or short-term adjustment
• scenario planning
• integration with ERP, WMS, TMS, POS, and retailer data
• support for new product introductions and substitutions
• user-friendly planner interface

If you sell through retail and e-commerce, make sure the tool can handle channel-specific demand patterns.

3) Check data and integration requirements

The best software won’t help if it can’t ingest clean data.

Evaluate:

• how easily it connects to your ERP and demand signals
• whether it supports POS, shipment, order, and inventory data
• master data management for SKUs, customers, plants, and pack sizes
• data refresh frequency
• data cleansing and hierarchy management
• API availability and integration effort

For pet food, pack-size complexity and item proliferation matter a lot, so hierarchy and master data handling are important.

4) Compare forecasting capabilities

Look at the forecasting engine itself:

• statistical methods available
• machine learning support
• ability to handle intermittent demand
• treatment of promotions, holidays, price, and cannibalization
• forecast accuracy metrics
• forecast bias tracking
• ability to forecast at multiple horizons

Ask for a proof of concept using your real data, not demo data.

5) Assess planner usability

A powerful system that planners avoid is a bad investment.

Look for:

• intuitive dashboards
• easy scenario comparisons
• clear exceptions and alerts
• explainability of forecast changes
• minimal manual spreadsheet work
• role-based views for demand planners, supply planners, and leadership

The software should help your team spend time on decisions, not data cleanup.

6) Evaluate scalability and fit

Think about your current and future scale:

• number of SKUs
• number of locations and customers
• transaction volume
• global vs regional planning
• cloud vs on-premise deployment
• ability to grow without a reimplementation

If you expect growth in DTC or new geographies, choose a platform that can scale with that.

7) Consider implementation and vendor support

Implementation often determines success more than features.

Ask:

• typical implementation timeline
• required internal IT resources
• vendor consulting support
• training materials and change management support
• customer references in CPG or food manufacturing
• SLA and support responsiveness

A vendor with strong consumer packaged goods experience is usually preferable.

8) Build a scorecard

Create a weighted comparison table. Example criteria:

• forecasting capability: 25%
• integrations/data handling: 20%
• usability: 15%
• promotion and scenario planning: 15%
• scalability: 10%
• implementation effort: 10%
• vendor support: 5%

Score each option against the same use cases and data.

9) Run a pilot

Before selecting a platform:

• choose 1–2 product families
• include a few volatile SKUs and a few stable ones
• test actual forecast accuracy, planner workload, and integration effort
• measure outcomes over several planning cycles

Success should be judged by business results, not only feature checklists.

10) Think about total cost of ownership

Include:

• subscription/license fees
• implementation and integration costs
• training
• internal support time
• data prep and maintenance
• future enhancement costs

Cheaper software can become expensive if planners still rely on spreadsheets and manual overrides.

A simple decision rule

Choose the software that best balances:

1. fit to your planning process
2. strong integration with your data sources
3. reliable forecasting for your SKU/channel complexity
4. ease of use for planners
5. vendor credibility in food/CPG
6. acceptable total cost of ownership

If you want, I can also help you build a vendor evaluation scorecard specifically for a pet food company, or compare a few popular demand planning tools side by side.