Franchise ERP Features: 10 Core Functions and How They Should Connect
Franchise ERP: 10 core features and the standards for connecting their data
Franchise ERP features only pay off when they connect into a single flow around the headquarters dashboard
CORE SUMMARY
✓ To gauge the real workload, judge franchise ERP features by whether data flows between them without gaps, not by how many features there are.
✓ Headquarters work moves from sales to store opening to operations. Lay out the 10 core features in that order and you can see where the data breaks.
✓ Store information is the reference data for inspections, sales, customer service and AI analysis. Whichever feature you adopt first, check that history builds up store by store.
✓ For AI forecasting and recommendations, check that the system shows its reasoning and a recommended action while a staff member approves the final step. Also check that you can start small and expand as your data quality improves.
A franchise ERP is a business management solution that lets franchisor headquarters record and manage, in one system, the work that repeats between headquarters and stores: franchise inquiries, franchise contracts, store openings, store inspections and sales management. A general ERP is built around accounting, HR and purchasing. A franchise ERP is built around the two-tier structure of one headquarters and many stores, and around the order in which franchise work actually happens.
Buyers now also look for POS and delivery app sales integration, review analysis and AI anomaly alerts. But a feature list alone tells you little, and many companies discover only after rollout that "the features are there, but they don't talk to each other."
This article walks through the 10 core features in the order headquarters work actually happens. For each one, it covers how to evaluate it, what data it should pass to the next step, and how to choose which features to adopt first.
How should franchise ERP features be evaluated?
Judge franchise ERP features by whether data entered once carries straight into the next task, more than by how polished each feature is. Headquarters work is not a set of separate jobs. It is one continuous process: a prospective franchisee goes through consultations, becomes a store owner, opens a store and starts operating.
For example, prospect information entered at the inquiry stage becomes the contracting party's information. It then becomes store information at the opening stage and the baseline for inspections and sales analysis. If staff re-enter that information into different files or programs at each stage, they will spend their time copying and reconciling data, no matter how many features the system has. The criteria come down to three points.
1
CRITERIA 01
Does data carry over to the next stage?
Check whether you can move from inquiry to contract, contract to opening, and opening to operations without re-entering existing information. Any point that requires re-entry is where omissions and mismatches creep in.
2
CRITERIA 02
Does history build up by store?
You should be able to follow one store's inquiry records, contract details, opening progress, inspection results, sales trends and support history in one place. If that history is scattered, you have to jump between menus every time you check on a store.
3
CRITERIA 03
Is there a record of who did what, and when?
When staff change, disputes arise or internal reports are due, work can only continue if the record shows who owned each task and its status, not just the outcome.
Read through these criteria, the 10 features below each have a clear role in the overall flow.
What do franchise sales, contract, settlement and opening management features do?
Before a store joins the franchise, franchise ERP features create the prospect record and pass it on to the contract and store opening without gaps. The contract terms set at this stage also become the settlement baseline once the store is operating.
Prospect information should carry through from inquiry to contract to store opening as one data set
1
FUNCTION 01
Franchise sales and lead management
Why it matters: Franchise inquiries arrive through many channels, including the website, ads, phone calls and trade shows. When staff track them in personal notes, duplicates and missed follow-ups are common. What to evaluate: Check whether inquiries from all channels land in one place where duplicates can be merged and owners assigned. Check whether you can view a pipeline with stages that fit your brand, such as New, In consultation, Under review and Contract pending. Also check that consultation notes, follow-up dates, preferred locations and budgets are recorded. Data handed off: Prospect information and consultation history carry over to the contract stage.
2
FUNCTION 02
Franchise contract and settlement management
Why it matters: Korea's Franchise Business Act requires that the franchise disclosure document and franchise agreement be provided a set period before signing, so headquarters must be able to prove when documents were sent and viewed. Contract terms later become the basis for settlements such as royalties. What to evaluate: Check whether the system records when the recipient viewed the pre-contract disclosure documents. Check whether e-contract details pass to the opening stage without re-entry and whether alerts arrive before contracts expire. Also check whether settlements follow the contract terms and stores can view their own settlement records. Data handed off: Contract details and required documents flow into store opening and store information, and contract terms become the settlement baseline.
3
FUNCTION 03
Store opening management
Why it matters: After signing, headquarters runs site development, construction, training, permits and initial stock deliveries in parallel across several departments. If this relies on individual experience, opening quality varies from store to store. What to evaluate: Check whether headquarters can set brand-standard checklists and completion criteria for each department, and whether opening dates and milestones appear on a calendar. Also check whether the next owner is alerted when a deadline approaches or a prerequisite task is done. Data handed off: The confirmed opening date and store information become the starting point for inspections and sales management in the operations stage.
All three features depend on dates: the next contact date, the document view date, the contract expiration date and the planned opening date. Day-to-day quality depends on whether schedules are managed through system records and alerts rather than people's memory.
Which franchise ERP features cover operations, such as QSCV inspections, unified sales and AI forecasting?
Operations-stage franchise ERP features record and compare open stores against the same standards and flag problems before they grow. As the store count rises, headquarters can't watch every store directly, so store information, inspection results, sales and customer feedback need to come together under one standard.
On-site inspection results must be recorded in the headquarters system so you can track whether issues get fixed
4
FUNCTION 04
Store information and permissions management
Why it matters: Basic details such as store address and contact, owner information, contract status and assigned supervisor are referenced in almost every headquarters task. What to evaluate: Check whether fields follow headquarters standards and whether viewing and editing rights can be set separately for HQ admins, department staff, supervisors and store owners. Data handed off: This becomes the reference data for every operations feature that follows.
5
FUNCTION 05
QSCV inspection and corrective action request management
Why it matters: Regular inspections against Quality, Service, Cleanliness and Value standards protect the brand standard, but if checklists stay on paper, it is hard to track whether issues get fixed. What to evaluate: Check whether item scores and photos can be recorded on site and trends compared by store, region and period. Check whether failed items can be logged as corrective action requests with an owner and deadline, then tracked through store action, verification and re-inspection. Data handed off: Inspection results and corrective history build up for each store.
6
FUNCTION 06
Customer service and store inquiry management
Why it matters: When store inquiries are scattered across phone calls and messaging apps, it is hard to tell whether they have been handled. What to evaluate: Check whether inquiries and HQ support history can be managed with an owner, status and due date. Data handed off: Inquiry and support history adds to the store's record.
7
FUNCTION 07
Unified Sales management
Why it matters: Each store may use a different POS, and delivery apps and special venues such as department stores and airports each have their own reporting periods and settlement rules, so just reconciling the numbers is a burden. What to evaluate: Check whether POS, delivery app and special venue sales are standardized by store, date and order, and whether you can compare by brand, region and store and see each channel's contribution. Also check whether it connects without replacing existing POS systems. Data handed off: Standardized sales feed operations analysis and AI forecasting.
8
FUNCTION 08
Review and customer feedback analysis
Why it matters: When reviews are spread across apps, unanswered reviews and recurring complaints get noticed late. What to evaluate: Check whether reviews, star ratings and reply status from every app appear in one place, and whether recurring feedback is grouped into themes such as taste, packaging, delivery and service. If the system drafts replies, check that staff review them before posting. Data handed off: Recurring feedback becomes inspection items and improvement tasks.
9
FUNCTION 09
AI forecasting and reporting
Why it matters: As the store count grows, people can't track every small shift in sales and ordering. What to evaluate: Check whether the system flags unusual changes early with its reasoning and a recommended action, whether a staff member approves the final step, and whether you can start with a limited scope when data is thin. Data handed off: At-risk stores and recommended actions feed inspection priorities and operations reports.
10
FUNCTION 10
Store operations program
Why it matters: Even with an organized headquarters system, the data breaks again if stores handle ordering, inventory and notices in separate tools. What to evaluate: Check whether store ordering, receiving and inventory use the same data as headquarters logistics and inbound/outbound records, and whether notice read status, survey responses and even staff attendance are shared with headquarters. Data handed off: Ordering, inventory and notice-read history roll up into headquarters' view of each store.
How should data connect between franchise ERP features?
Data between franchise ERP features should link into one history per store, from the first inquiry through operations analysis. The table below lists the main users of each of the 10 features and the data each one receives and passes on.
| Feature | Main users | Data received | Data handed off |
|---|---|---|---|
| Franchise sales and lead management | Franchise sales team | Franchise inquiries by channel | Prospect info and consultation history → Contract |
| Franchise contract and settlement management | Franchise sales, legal, finance | Prospect info | Contract info and documents → Opening and store info; contract terms → Settlement |
| Store opening management | Site development, construction, training | Contract info | Opening date and store info → Operations |
| Store information and permissions management | All departments | Contract and opening info | Store reference data → All operations features |
| QSCV inspection and corrective action requests | Supervisors | Store info | Inspection results and corrective history → Store history |
| Customer service and store inquiry management | Operations team | Store inquiries | Resolution history → Store history |
| Unified Sales management | Operations team, executives | POS, delivery app and special venue sales | Standardized sales → Analysis and AI forecasting |
| Review and customer feedback analysis | Operations, marketing | Delivery app reviews | Recurring feedback → Inspection and improvement tasks |
| AI forecasting and reporting | Executives, supervisors | Sales, ordering and inspection data | At-risk stores and recommended actions → Inspection work |
| Store operations program | Stores, operations team | Notices, order recommendations | Ordering, inventory and notice-read status → HQ overview |
If the data in the far-right column becomes the next feature's received data, that link lives inside the system. If not, it stays a manual step where staff copy and cross-check data.
Watch three connection points in particular. The first is the handoff from opening to operations: if a newly opened store doesn't flow straight into inspection and sales management, it falls into a management blind spot. The second is where contract terms feed settlement: digging up terms such as royalty rates and cross-checking them at every settlement invites errors. The third is where sales changes lead to action in the field. If a sales drop or recurring complaint is detected but never leads to an inspection or corrective action request, the analysis stops at the report.
If you are evaluating a system, don't review features one by one. Instead, follow one hypothetical prospect from first inquiry to operations inspection and count how many times data has to be re-entered.
How do you choose which franchise ERP features your headquarters needs first?
The sensible way to choose features to adopt first is to start with the work where your headquarters loses the most time and opportunity today. Adopting everything at once makes data cleanup and training heavy, so it is more realistic to start where the problem is clearest and expand from there.
Also confirm that the features you adopt first will connect to the rest of the flow
| What's happening at headquarters | Feature to review first |
|---|---|
| We've missed follow-ups after franchise inquiries | Franchise sales and lead management |
| We re-enter contract details when preparing store openings | Franchise contract and settlement management, store opening management |
| We dig up and cross-check contract terms at every royalty settlement | Franchise contract and settlement management |
| Preparation items slip through during busy opening periods | Store opening management |
| It's hard to confirm whether inspection findings have been fixed | QSCV inspection and corrective action request management |
| Reconciling sales by store and channel takes too long | Unified Sales management |
| We learn about unanswered delivery reviews and recurring complaints late | Review and customer feedback analysis |
| Store ordering and notice checks run separately from HQ | Store operations program |
AI forecasting and reporting needs sales and operations data built up over time before its reasoning is solid, so it is usually best reviewed alongside Unified Sales. Even if you use only one feature now, check from the start that the features you add later will build on the same store reference data. Bringing in a separate program for each feature creates new manual work to bridge them.
How does FDAM connect franchise ERP features?
FDAM by MS Benter Co., Ltd. is an AI operations platform for franchises. It connects HQ Operations (franchise sales, contracts, store openings and more), Unified Sales across POS and delivery apps, and the store program Sodam into one data set, then adds AI order recommendations, sales decline forecasting, AI reports and more on top. It builds on a product line that began in 2003 with automated phone-based (ARS) order management and grew into a logistics ERP and then a headquarters ERP. MS Benter has built systems for more than 500 brands and runs a government-certified franchise IT research lab.
- HQ Operations (franchise ERP): Merges franchise inquiries from multiple channels, assigns owners, and keeps history through a consultation pipeline and AI meeting notes. Pre-contract disclosure documents are sent via KakaoTalk (Korea's leading messaging app), text message and more, with view times recorded. E-contract details flow into opening information, and an automatic alert goes out 30 days before a contract expires. Headquarters manages opening preparation with an opening calendar, department checklists and owner alerts. In operations, FDAM provides QSCV inspections, corrective action request tracking, customer service management, AI anomaly alerts and settlement based on contract terms.
- Unified Sales: Standardizes sales from POS, special venues and five delivery apps (Baemin, Coupang Eats, Yogiyo, Ddangyo and Baedal Teukgeup) by store, date and order for comparison. It connects to existing POS systems and delivery apps without replacing them wherever possible, and the integration scope is confirmed after reviewing account and integration conditions.
- AI Platform: Covers seven AI tools (AI order recommendations, AI meeting notes, AI operations reports, AI sales decline forecasting, AI store-closure risk forecasting, AI off-catalog purchasing analysis and AI review replies), plus unified delivery reviews and voice-of-customer analysis.
- Sodam: A dedicated store program covering ordering, receiving and inventory, HQ notices, surveys and inquiries, staff and attendance, and royalty, transaction ledger, receivables and credit records. Headquarters logistics and inbound/outbound run in FDAM, while store ordering and inventory run in Sodam, on the same data.
Mapped to the 10 features above, HQ Operations covers everything from franchise sales to settlement and customer service, Unified Sales covers sales, the AI Platform handles review analysis, forecasting and reporting, and Sodam serves as the store operations program. Records link into one history per store that survives staff changes, and executives, operations staff, supervisors and store owners see the same data through role-based screens on PC, tablet and mobile.
The AI handles recommendations, drafts and alerts, while staff review and approve the final decision and action. AI order recommendations calculate suggested order quantities from sales history, inventory, scheduled deliveries, day-of-week and seasonal patterns, and store owners review, adjust and approve them in Sodam. Our in-house lab verified 90% recommendation accuracy on real customer data, but actual accuracy varies by store, item, training period and data quality. AI review replies are also reviewed by staff before posting, and the scope of each feature is confirmed during a sales consultation.
Headquarters works in FDAM and stores work in Sodam, but you don't need to adopt everything at once. You can start with the highest-priority area and expand. Rollout includes migrating existing data and training headquarters staff, and we continue to support you once you are up and running.
Frequently asked questions
Q. Which franchise ERP feature should come first?
Store information management. Most features, including inspections, sales analysis, customer service and AI forecasting, run on store information. If that data isn't standardized, the other features end up working from different baselines.
Q. How do franchise ERP features differ from a general ERP?
A general ERP focuses on internal management such as accounting, HR and purchasing. A franchise ERP handles the work between headquarters and stores, such as franchise sales, franchise contracts, store openings, store inspections and sales management, at the store level.
Q. Can we see sales in one place if each store uses a different POS and delivery apps?
Supported channels and collection methods vary by system. The surest approach is to list the POS systems, delivery apps and special venue stores your franchise uses and check them against the integration scope of the system you're evaluating.
Q. Does franchise ERP AI order recommendation place orders automatically?
No. AI order recommendations stop at suggesting order quantities and flagging stockout or overstock risk. The store owner reviews, adjusts and approves the recommendation before the order is placed. If data is limited, you can assess its history and quality first, then start with rule-based recommendations or a limited scope.
What should be the final yardstick when comparing franchise ERP features?
When comparing franchise ERP features, the yardstick should be whether data flows all the way between features, not how long the feature list is. Inquiry information must carry through contract, settlement, opening, operations inspections and sales analysis without re-entry. Only then does headquarters work actually get lighter and AI forecasting have meaningful evidence to work from. Use the two tables above to start checking where your data breaks.
Start with the gaps in your headquarters workflow
From franchise sales to Unified Sales and AI forecasting, we'll help you decide which area to connect first based on how your headquarters works.
Contact salesExplore FDAM features Chat on KakaoTalk
Phone 1544-7120 (Korea)
Franchise ERP, franchise ERP features, franchise sales management, franchise contract management, store opening management, QSCV inspection, Unified Sales, AI order recommendations, store management, MS Benter, FDAM, Sodam
