
How to choose the right retail sales management tool
What criteria should you use to choose a retail sales management tool? Field KPIs, dashboards, and reporting: a guide for sales forces.
In short
8 min read
Definition of essential field KPIs for tracking sales performance.
Centralization of data for automated real-time reporting.
Intuitive dashboard design for rapid adoption by sales teams.
Integration capabilities with existing POS systems and CRMs.
Predictive analytics to anticipate consumer trends at the point of sale.
Customization of alerts for proactive business management.
Choosing the right commercial steering tool for retail has become a strategic challenge for brands and distributors. Between competitive pressure on the shelves, the complexity of the data to analyze (ND, WD, share of shelf, out-of-stocks, promotions) and the need to coordinate headquarters and the field, a simple general CRM is no longer enough.
Retail has its own specificities: unique indicators, mobile sales teams, and immediate reporting needs. That is why it is essential to identify which solution actually matches your challenges.
In this article, we review the different commercial steering tools tailored to retail, their differences, and the criteria to consider in order to make the right choice.
The different commercial steering tools for retail
When choosing your commercial steering software, it is important to take into account that you work in retail. Many companies believe that a "generalist" CRM or management tool is enough. Spoiler alert: it is not.
Why?
First, because retail has unique indicators. In retail, we do not limit ourselves to sales revenue: we also talk about ND (numeric distribution), ND (Numeric Distribution) and WD (Weighted Distribution), share of shelf, out-of-stocks, promo visibility. A generalist tool does not always take this into account.
Second, because your sales reps work in the field. Unlike traditional B2B sales, retail sales forces spend their days in stores, collecting data. A suitable tool integrates these audits and the collected data into your analyses.
Additionally, a good tool creates a strategic link between headquarters and the field. The field teams collect store information, but it is up to headquarters (trade marketing, category management, sales management) to exploit it. Without a software designed for retail, the data is either incomplete or unusable.
That being said, we can now present the different commercial steering tools specific to retail.
1. CRM and SFA (Sales Force Automation) tools
A CRM SFA (Sales Force Automation) is a tool that centralizes sales activities and helps organize the work of field sales teams. It enables store visits planning, shelf audit tracking and measuring the performance of each sales representative.
The CRM records what your sales teams do on a daily basis: store visits, shelf audits, observed out-of-stocks, orders, reports.
Its analysis is operational and immediate: tracking a sales rep's objectives, banner coverage rate, share of shelf on a product.
In retail, it is indispensable for transforming data collected in-store into actionable indicators for sales management. The CRM SFA makes it possible to know what is happening in stores and to act quickly (correct an out-of-stock, launch a promo, adjust a route).
Some CRMs, like Sidely, also integrate checkout data and external data, for a more comprehensive analysis.
2. BI (Business Intelligence) and data analysis tools
BI tools aggregate and analyze sales data from different sources (CRM, ERP, retail panels). They allow the creation of interactive dashboards to track revenue, ND/WD, or the profitability of operations.
In retail, they provide a strategic vision by cross-referencing field data with real sales and retailer performance.
The real difference between a BI tool and a CRM SFA lies in the nature of the analyzed data, granularity, and final use. BI tools aggregate more external data, offering a more global and historical analysis: trends, correlations, performance by region or banner, profitability of retail execution.
In retail, BI allows you to step back and guide strategy (e.g., investing more in Carrefour than Intermarché because the promo ROI is higher there).
3. Trade marketing and field execution software
These software solutions measure the impact of marketing activities in the field and ensure that what was negotiated with the retailers is actually implemented in-store.
The difference with the previous tools lies in the nature of the data, which is much more focused on tracking merchandising and promotional actions: in-store visibility (POS/POPAI), compliance of promos, photo feedback, ROI of animations.
In retail, trade marketing software helps answer the question: "Were my promotions and merchandising operations correctly executed and did they generate business?".
Where a CRM tracks sales reps' activity and a BI consolidates global data, trade marketing software is focused on the implementation and control of promo operations in point of sale.
In retail, they guarantee that trade marketing investment translates into concrete results in stores.
4. Sales forecasting and planning tools
These tools anticipate demand and allow the efficient allocation of sales resources. They serve to adjust sales objectives, optimize routes and better distribute commercial budgets, mainly by tracking sales histories, product seasonality, consumer trends...
In other words, forecasting and sales planning tools serve to anticipate demand, set realistic quotas and plan resources (sales forces, promo budgets, production volumes) accordingly.
In retail, they allow you to know which point of sale is going to sell, how much each point of sale is going to sell, and how to distribute sales forces to maximize results.
Unlike previous reporting tools, which observe what happened or what is happening (ongoing), these solutions project what is going to happen (forecast, scenarios). They are prospective, not just descriptive.
5. ERP (Enterprise Resource Planning) with retail modules
An ERP is an integrated solution that manages all company processes: sales, finance, logistics, and inventory. It mainly analyzes internal flows. With its specific retail modules, it ensures the tracking of orders, product availability, and billing.
In retail, it plays a key role in connecting commercial operations in-store to the logistical and financial chain. The ERP provides an integrated view of the company, showing available products, delivered and correctly billed to support commercial actions in-store.
Unlike a CRM, a BI or trade marketing tool (more oriented towards sales performance), the ERP acts behind the scenes. It forms the foundation of the back-office, ensuring that sales made in the field are well supported by fluid logistics and controlled invoicing.
Discover the difference between ERP and CRM.
Matching each retail commercial steering tool to the right analysis needs
Now that we have presented the different solutions on the market, you have understood well that each type of commercial steering solution corresponds to different analysis needs. Here is a clear mapping:
1. CRM / SFA (Sales Force Automation)
The CRM SFA tracks the activity of field sales forces (visits, audits, reports) to drive sales execution in-store. → Operational analysis of the field and sales forces.
For whom? Field sales force, sales managers, sales management.
Analysis Need:
Tracking field activity (visits, reports, check-in/out).
Tracking completed actions (coverage rate, number of visits, compliance of audits).
Analysis of network coverage and target compliance by sales rep.
Measurement of in-store presence (ND, out-of-stocks, shelf audits).
Qualitative feedback from the field (photos, out-of-stocks, prices, promos).
2. Business Intelligence (BI) tools
Business Intelligence tools consolidate and analyze multi-source data to offer a strategic vision of retail performance. Sales, marketing and general management. → Analyze global and strategic data.
For whom? Commercial management, marketing management, category managers, general management.
Analysis Need:
Data aggregation and visualization (sell-in, sell-out, market share).
Consolidation of multi-source data (CRM, ERP, retail panels like Nielsen/Kantar).
Tracking strategic indicators (revenue, ND, market share, profitability).
3. Trade Marketing and Merchandising Solutions
Trade marketing and merchandising solutions measure the compliance and impact of promotions and merchandising actions in point of sale. → Analyze promo visibility and effectiveness.
For whom? Trade marketing teams, merchandising, network animators.
Analysis Need:
Control of promo compliance and merchandising operations.
Measurement of visibility (POS, POPAI, share of shelf space for promo).
Calculation of ROI on trade marketing investments.
4. Sales forecasting and planning tools
Sales forecasting and planning tools anticipate demand and optimize the allocation of objectives, resources, and sales routes. → Analyze demand and objectives.
For whom? Sales directors, commercial management, supply chain, general management, planning managers.
Analysis Need:
Anticipation of sales volumes (forecast).
Adjustment of sales objectives according to trends.
Optimization of resource allocation (routes, budgets, animations).
5. ERP (with commercial/retail modules)
ERPs with retail modules integrate commercial, logistics, and financial flows to guarantee product availability and administrative tracking. → Analyze internal and financial processes.
For whom? General management, CFO, sales administration
Analysis Need:
Administrative and financial tracking of sales (orders, invoices, margins).
Inventory management and product availability.
Global performance steering (cross-functional vision).
Analysis needs ↔ commercial steering solutions matrix
Analysis need | Most suitable solution | Concerned users |
|---|---|---|
Performance of field sales forces (number of visits, actions completed, network coverage) | CRM SFA | Area managers, sales managers |
Qualitative field tracking (out-of-stocks, prices, photos, shelf audits) | CRM SFA | Area managers, category managers |
Multi-source analyses (CRM, ERP, retail panels) | BI (Business Intelligence) | Category managers, trade marketing |
Global view of the business (revenue, market share, ND, profitability) | BI (Business Intelligence) | Sales management, general management |
Impact of promotions and activations (trade marketing ROI, POS visibility) | Trade marketing and Merchandising | Trade marketers, brand managers |
Sales anticipation and demand management (forecast) | Forecasting / planning tools | Sales directors, supply chain |
Optimization of commercial routes (prioritization of POS) | CRM / SFA with planning | Mobile sales reps, managers |
Administrative and financial tracking (orders, invoices, margins) | ERP | Sales administration, CFO, general management |
Inventory management and product availability | ERP | Supply chain, logistics managers |
Analysis of competition in-store (prices, innovations, promos) | CRM SFA | Area managers, category managers |
Choosing your retail commercial steering tool according to company size
Choosing a commercial steering solution necessarily involves a budgetary reflection. And not all companies have the same resources to dedicate to it. Furthermore, depending on the time and means available internally, you will not make the same choices.
Two main factors must be taken into account:
The size of the sales team (number of field sales reps, managers, analysts, etc.)
The size and structure of the company (SME, Mid-cap, multinational, budget, digital maturity level).
Small teams (SMEs, micro-businesses, start-ups)
Profile
Reduced sales team (often <10 people).
Need to focus on field execution and growth.
Limited resources (budget, implementation time, IT support).
Suitable solutions
→ prioritize simplicity and speed (field CRM + lightweight BI).
CRM / SFA specialized in retail: mobile tool, simple, quick to learn.
Lightweight BI or integrated into the CRM: automated dashboards without the need for a dedicated data analyst.
Simplified trade marketing: basic tracking of promos and presence on shelves.
For example, an area manager audits store presence via their mobile, the data is centralized and the manager can steer store coverage without heavy infrastructure.
Intermediate teams (Mid-caps, growing brands, regional or national networks)
Profile
Sales team with regional or national networks of 20–100 sales reps.
Multiple hierarchical levels (area managers, regional managers, sales management).
Multiple data sources to cross-reference (sell-in, sell-out, retail panels).
Need to standardize processes and industrialize reporting.
Suitable solutions
→ need for structuring and industrialization (CRM + BI + trade marketing).
Industry-specific CRM / SFA with advanced features (route planning, mandatory check-in, automated audits).
Structured BI linked to retail panels (Nielsen, IRI).
Trade marketing tools to measure the impact of animations and POS material.
For example, a food industry mid-cap that wants to know which promo generated the most revenue in store, and adjust its investment by banner.
Large teams (major groups like Coca-Cola, Danone, Nestlé…)
Profile
Several hundred field sales reps, managers, analysts.
International organization with complex processes.
Robust IT infrastructure (ERP, data warehouse, internal BI teams).
Suitable solutions
→ integrated, heavy and customized solutions (ERP + global CRM + advanced BI).
Global ERP to steer flows (orders, stocks, billing).
Customized CRM/SFA or integrated into a global ecosystem (e.g. Salesforce, SAP C4C).
Advanced BI (Power BI, Tableau, Qlik) connected to multiple sources.
Dedicated retail execution solutions with international reporting.
For example, Coca-Cola can analyze in real-time the share of shelf of its products in 10,000 stores in Europe, and compare performance by country/banner to adjust its global strategy.
Evaluation checklist for a retail commercial steering tool
Point of sale management
Does the tool allow mapping stores with segmentation (banner, format, potential)?
Can you track POS typology (hypermarket, supermarket, convenience, food service, drugstore)?
Does it integrate the concept of geographic areas and commercial routes?
In-store presence tracking
Does the tool allow executing audits (shelf audit, competitor audit...) in multi-strata and multi-category?
Is it possible to measure fundamental KPIs such as the number of facings or ND?
Does it allow tracking assortment compliance by banner and by POS?
Does it integrate tracking of out-of-stocks on shelves?
Trade marketing & field execution
Can you track ongoing promotions and measure their effectiveness?
Does the tool manage shelf visibility / POS / POPAI with photo proofs?
Does it allow comparing the compliance of negotiated operations vs store reality?
Does it offer tracking of competitor operations?
Steering of field sales forces
Does the tool allow planning and prioritizing visits (optimized routes, priority store alerts)?
Does it integrate check-in / check-out to validate actual presence in-store?
Does it allow generating a simplified field report (voice dictation, forms, mandatory fields)?
Is it possible to assign quantitative objectives by sales rep, banner or region?
Analysis of commercial performances
Does the tool automatically calculate the share of shelf and its evolution?
Can you cross-reference field data with sell-in and sell-out sales?
Does it offer retail dashboards (ND, WD, visibility, network coverage, promo ROI)?
Is it possible to segment results by banner, region, area manager, product category?
Advanced retail specificities
Does the tool work in offline mode for store visits without a network?
Does it offer structured competitor feedback (prices, innovations, competitor share of shelf)?
Does it allow the integration of retail panels (Nielsen, IRI, GSA) in its analyses?
Can it trigger store alerts (out-of-stock, non-compliance, promo display to follow up)?
In summary, the choice of a commercial steering tool for retail depends on the size of the company, digital maturity, the structure of the sales team and especially the priority analysis needs for the field, strategic, marketing, forecasting or logistics.
Angela heads up Customer Success at Sidely. She leads her team with an approach that is both highly human-centric and deeply product-oriented. This dual perspective—understanding customer needs while mastering how technology solves them—allows her to see what others miss. She supports sales teams by experiencing their daily challenges alongside them.
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